pollinations
/
stable-diffusion-dance
Audio Reactive Stable Diffusion
Prediction
pollinations/stable-diffusion-dance:dfb636aaInput
- width
- 512
- height
- 512
- prompts
- A lively and whimsical apothecary where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius A lively and whimsical laboratory where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius
- audio_file
- Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%Stream Type LIVERemaining Time -00:00:0001x
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
- frame_rate
- 15
- random_seed
- 13
- prompt_scale
- 15
- audio_smoothing
- 0.7
- diffusion_steps
- 15
{ "width": 512, "height": 512, "prompts": "A lively and whimsical apothecary where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius\nA lively and whimsical laboratory where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius", "audio_file": "https://replicate.delivery/pbxt/I6UVtlUYiWnyxDzkCVWVRD7PVtDxxmUtLEdKqdEDXuZeU3cx/cryo.aif", "frame_rate": 15, "random_seed": 13, "prompt_scale": 15, "audio_smoothing": 0.7, "diffusion_steps": 15 }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "pollinations/stable-diffusion-dance:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", { input: { width: 512, height: 512, prompts: "A lively and whimsical apothecary where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius\nA lively and whimsical laboratory where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius", audio_file: "https://replicate.delivery/pbxt/I6UVtlUYiWnyxDzkCVWVRD7PVtDxxmUtLEdKqdEDXuZeU3cx/cryo.aif", frame_rate: 15, random_seed: 13, prompt_scale: 15, audio_smoothing: 0.7, diffusion_steps: 15 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "pollinations/stable-diffusion-dance:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", input={ "width": 512, "height": 512, "prompts": "A lively and whimsical apothecary where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius\nA lively and whimsical laboratory where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius", "audio_file": "https://replicate.delivery/pbxt/I6UVtlUYiWnyxDzkCVWVRD7PVtDxxmUtLEdKqdEDXuZeU3cx/cryo.aif", "frame_rate": 15, "random_seed": 13, "prompt_scale": 15, "audio_smoothing": 0.7, "diffusion_steps": 15 } ) # The pollinations/stable-diffusion-dance model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/pollinations/stable-diffusion-dance/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", "input": { "width": 512, "height": 512, "prompts": "A lively and whimsical apothecary where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius\\nA lively and whimsical laboratory where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius", "audio_file": "https://replicate.delivery/pbxt/I6UVtlUYiWnyxDzkCVWVRD7PVtDxxmUtLEdKqdEDXuZeU3cx/cryo.aif", "frame_rate": 15, "random_seed": 13, "prompt_scale": 15, "audio_smoothing": 0.7, "diffusion_steps": 15 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-01-09T01:08:48.974789Z", "created_at": "2023-01-09T01:01:20.887791Z", "data_removed": false, "error": null, "id": "ycbfbcdmf5hv3gswwlkc5arkhm", "input": { "width": 512, "height": 512, "prompts": "A lively and whimsical apothecary where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius\nA lively and whimsical laboratory where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius", "audio_file": "https://replicate.delivery/pbxt/I6UVtlUYiWnyxDzkCVWVRD7PVtDxxmUtLEdKqdEDXuZeU3cx/cryo.aif", "frame_rate": 15, "random_seed": 13, "prompt_scale": 15, "audio_smoothing": 0.7, "diffusion_steps": 15 }, "logs": "translated prompts ['A lively and whimsical apothecary where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius', 'A lively and whimsical laboratory where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius']\nusing audio file /tmp/tmpl6sf_5_9cryo.aif\nhop length 1470 audio length 352800audio sr 22050\nlength of audio intensities 241\nembedding prompts\nGlobal seed set to 13\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 9.46it/s]\n 20%|██ | 3/15 [00:00<00:01, 9.57it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.40it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.24it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.22it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.18it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.12it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.15it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.10it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.10it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.19it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 8.90it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.35it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.31it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.23it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.14it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.22it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.46it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.15it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.05it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.09it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.05it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.40it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.58it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.18it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.29it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.07it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.03it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.41it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.05it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.62it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.12it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.13it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.19it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.03it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.56it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 8.96it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.08it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.30it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.22it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.02it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.26it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.03it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.10it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.23it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.01it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.24it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.06it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.64it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.19it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.02it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.03it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.06it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.27it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.00it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.43it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.27it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.11it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.02it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.32it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.33it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.42it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.19it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.01it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.32it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.52it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.48it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.28it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.22it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.14it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.29it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.07it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.07it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.16it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.47it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.24it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.07it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.03it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.97it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.60it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.15it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.26it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.08it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.14it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.23it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.12it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.26it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.23it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.64it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.07it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.14it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.00it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.17it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.06it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.42it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.12it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 8.61it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.80it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.04it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.21it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.14it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.06it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.32it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.63it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.46it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.24it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.22it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.03it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.24it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.03it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 10.00it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.59it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.48it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.46it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 10.05it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.60it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.41it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.37it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.81it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.17it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.14it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.03it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.35it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.39it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.63it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.13it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.03it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.27it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.24it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.40it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.02it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.07it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.62it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.24it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.21it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.06it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.80it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.20it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.05it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.10it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.18it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.12it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.00it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.58it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.16it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.04it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.30it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.42it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.34it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.30it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.11it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.11it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.30it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.26it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.24it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.11it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.02it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.32it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.80it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.08it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.22it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.23it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.19it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.10it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.45it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.49it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.22it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.07it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.22it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.08it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.10it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.35it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.17it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.15it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.04it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.01it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.53it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.22it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.06it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.22it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.15it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.35it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.26it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.24it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.21it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.15it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.36it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.06it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.22it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.00it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.99it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.23it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.75it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.71it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.05it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.05it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.20it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.97it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 8.94it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.31it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.18it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.57it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.42it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.22it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.00it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.15it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 8.99it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.04it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.07it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.11it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.39it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.06it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.07it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.06it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.22it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.05it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.23it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.10it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.97it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.22it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.46it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.12it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.22it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.38it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.42it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 8.93it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.60it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.14it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.40it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.06it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.13it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.72it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.57it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.55it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.23it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.13it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.05it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 8.89it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 8.99it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.32it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.35it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.91it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.25it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.11it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.20it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.59it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.01it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.13it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.42it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.47it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.39it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.03it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.15it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.72it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.72it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.07it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.22it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.08it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.17it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.28it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.08it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.17it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.12it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.23it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.15it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.10it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 8.93it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.64it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.07it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.16it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.17it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.90it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.41it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.18it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.11it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.08it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.58it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.36it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.06it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image Nonefor 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 8.84it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.26it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.24it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.78it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.75it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.13it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.22it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.62it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.21it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.26it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 8.99it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.27it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.23it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.43it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 8.96it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.31it/s]\nsamples_ddimtorch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.58it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.28it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.21it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.25it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.07it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.05it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.00it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.75it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.59it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.35it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.23it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.09it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.05it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.17it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.14it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.01it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.10it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 8.98it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.42it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 8.97it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.34it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.32it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.52it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.24it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.10it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.20it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.98it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.47it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.80it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 8.71it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.10it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.44it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.47it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.03it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.13it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.07it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.56it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.13it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.09it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.39it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.04it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.05it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.08it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 8.69it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.63it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.25it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.19it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.14it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.08it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.61it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 8.99it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.00it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.22it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.77it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.60it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.45it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.12it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.22it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.05it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.48it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.08it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 10.00it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.34it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.20it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.11it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 10.99it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.32it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.22it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.23it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.19it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.61it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.10it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.28it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.22it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.14it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.21it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.09it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.77it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.71it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.23it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.06it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.04it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.01it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.62it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.14it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.34it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.22it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.03it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.64it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.43it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.03it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.42it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.21it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.12it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 8.70it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.25it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.04it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.39it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.08it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.03it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.17it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.03it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.23it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.82it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.26it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.44it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.45it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.16it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.15it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.09it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.33it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.41it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.08it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.20it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 8.95it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.27it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.24it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.05it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.34it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.17it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.43it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.18it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.36it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.31it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.22it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.18it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 8.64it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.23it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.50it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.13it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.30it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.33it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.27it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.12it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.57it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.40it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.33it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.16it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.07it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.41it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.47it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.71it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.11it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.45it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.48it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.31it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.21it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.56it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.19it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.54it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.29it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.20it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.30it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.01it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.12it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.52it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.25it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.14it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.63it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.49it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.19it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.01it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.32it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.53it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.28it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.14it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.36it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.55it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.24it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.23it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.06it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.16it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.37it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nusing init image None for 0 steps\nsigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156,\n1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s]\n 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s]\n 33%|███▎ | 5/15 [00:00<00:01, 9.59it/s]\n 40%|████ | 6/15 [00:00<00:00, 9.51it/s]\n 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s]\n 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s]\n 60%|██████ | 9/15 [00:00<00:00, 9.23it/s]\n 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s]\n 73%|███████▎ | 11/15 [00:01<00:00, 9.09it/s]\n 80%|████████ | 12/15 [00:01<00:00, 9.17it/s]\n 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s]\n 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.15it/s]\n100%|██████████| 15/15 [00:01<00:00, 9.35it/s]\nsamples_ddim torch.Size([1, 4, 64, 64])\nYour samples have been saved to:\n./outputs\nEnjoy.\ntotal 105488\n-rw-r--r-- 1 root root 479289 Jan 9 01:01 00000.png\n-rw-r--r-- 1 root root 479406 Jan 9 01:01 00001.png\n-rw-r--r-- 1 root root 469413 Jan 9 01:01 00002.png\n-rw-r--r-- 1 root root 468031 Jan 9 01:01 00003.png\n-rw-r--r-- 1 root root 468228 Jan 9 01:01 00004.png\n-rw-r--r-- 1 root root 467703 Jan 9 01:01 00005.png\n-rw-r--r-- 1 root root 472531 Jan 9 01:01 00006.png\n-rw-r--r-- 1 root root 474333 Jan 9 01:01 00007.png\n-rw-r--r-- 1 root root 471072 Jan 9 01:01 00008.png\n-rw-r--r-- 1 root root 462798 Jan 9 01:01 00009.png\n-rw-r--r-- 1 root root 459603 Jan 9 01:01 00010.png\n-rw-r--r-- 1 root root 465091 Jan 9 01:01 00011.png\n-rw-r--r-- 1 root root 466527 Jan 9 01:01 00012.png\n-rw-r--r-- 1 root root 465580 Jan 9 01:01 00013.png\n-rw-r--r-- 1 root root 468738 Jan 9 01:01 00014.png\n-rw-r--r-- 1 root root 469149 Jan 9 01:01 00015.png\n-rw-r--r-- 1 root root 470297 Jan 9 01:01 00016.png\n-rw-r--r-- 1 root root 471208 Jan 9 01:01 00017.png\n-rw-r--r-- 1 root root 471329 Jan 9 01:01 00018.png\n-rw-r--r-- 1 root root 473291 Jan 9 01:01 00019.png\n-rw-r--r-- 1 root root 469286 Jan 9 01:02 00020.png\n-rw-r--r-- 1 root root 466780 Jan 9 01:02 00021.png\n-rw-r--r-- 1 root root 467275 Jan 9 01:02 00022.png\n-rw-r--r-- 1 root root 467521 Jan 9 01:02 00023.png\n-rw-r--r-- 1 root root 467087 Jan 9 01:02 00024.png\n-rw-r--r-- 1 root root 469702 Jan 9 01:02 00025.png\n-rw-r--r-- 1 root root 466855 Jan 9 01:02 00026.png\n-rw-r--r-- 1 root root 470028 Jan 9 01:02 00027.png\n-rw-r--r-- 1 root root 470999 Jan 9 01:02 00028.png\n-rw-r--r-- 1 root root 468953 Jan 9 01:02 00029.png\n-rw-r--r-- 1 root root 465711 Jan 9 01:02 00030.png\n-rw-r--r-- 1 root root 455755 Jan 9 01:02 00031.png\n-rw-r--r-- 1 root root 455318 Jan 9 01:02 00032.png\n-rw-r--r-- 1 root root 456940 Jan 9 01:02 00033.png\n-rw-r--r-- 1 root root 456556 Jan 9 01:02 00034.png\n-rw-r--r-- 1 root root 457922 Jan 9 01:02 00035.png\n-rw-r--r-- 1 root root 456405 Jan 9 01:02 00036.png\n-rw-r--r-- 1 root root 454998 Jan 9 01:02 00037.png\n-rw-r--r-- 1 root root 455973 Jan 9 01:02 00038.png\n-rw-r--r-- 1 root root 456538 Jan 9 01:02 00039.png\n-rw-r--r-- 1 root root 454002 Jan 9 01:02 00040.png\n-rw-r--r-- 1 root root 453602 Jan 9 01:02 00041.png\n-rw-r--r-- 1 root root 454280 Jan 9 01:02 00042.png\n-rw-r--r-- 1 root root 454038 Jan 9 01:02 00043.png\n-rw-r--r-- 1 root root 452321 Jan 9 01:02 00044.png\n-rw-r--r-- 1 root root 451856 Jan 9 01:02 00045.png\n-rw-r--r-- 1 root root 453497 Jan 9 01:02 00046.png\n-rw-r--r-- 1 root root 455763 Jan 9 01:02 00047.png\n-rw-r--r-- 1 root root 457397 Jan 9 01:02 00048.png\n-rw-r--r-- 1 root root 456108 Jan 9 01:02 00049.png\n-rw-r--r-- 1 root root 455401 Jan 9 01:02 00050.png\n-rw-r--r-- 1 root root 457796 Jan 9 01:02 00051.png\n-rw-r--r-- 1 root root 456896 Jan 9 01:02 00052.png\n-rw-r--r-- 1 root root 456127 Jan 9 01:03 00053.png\n-rw-r--r-- 1 root root 455374 Jan 9 01:03 00054.png\n-rw-r--r-- 1 root root 454854 Jan 9 01:03 00055.png\n-rw-r--r-- 1 root root 455245 Jan 9 01:03 00056.png\n-rw-r--r-- 1 root root 450078 Jan 9 01:03 00057.png\n-rw-r--r-- 1 root root 445389 Jan 9 01:03 00058.png\n-rw-r--r-- 1 root root 454761 Jan 9 01:03 00059.png\n-rw-r--r-- 1 root root 459830 Jan 9 01:03 00060.png\n-rw-r--r-- 1 root root 462658 Jan 9 01:03 00061.png\n-rw-r--r-- 1 root root 463847 Jan 9 01:03 00062.png\n-rw-r--r-- 1 root root 458546 Jan 9 01:03 00063.png\n-rw-r--r-- 1 root root 457419 Jan 9 01:03 00064.png\n-rw-r--r-- 1 root root 457814 Jan 9 01:03 00065.png\n-rw-r--r-- 1 root root 453718 Jan 9 01:03 00066.png\n-rw-r--r-- 1 root root 446035 Jan 9 01:03 00067.png\n-rw-r--r-- 1 root root 450087 Jan 9 01:03 00068.png\n-rw-r--r-- 1 root root 452809 Jan 9 01:03 00069.png\n-rw-r--r-- 1 root root 454014 Jan 9 01:03 00070.png\n-rw-r--r-- 1 root root 454440 Jan 9 01:03 00071.png\n-rw-r--r-- 1 root root 450886 Jan 9 01:03 00072.png\n-rw-r--r-- 1 root root 453785 Jan 9 01:03 00073.png\n-rw-r--r-- 1 root root 452985 Jan 9 01:03 00074.png\n-rw-r--r-- 1 root root 453827 Jan 9 01:03 00075.png\n-rw-r--r-- 1 root root 452372 Jan 9 01:03 00076.png\n-rw-r--r-- 1 root root 452780 Jan 9 01:03 00077.png\n-rw-r--r-- 1 root root 452595 Jan 9 01:03 00078.png\n-rw-r--r-- 1 root root 454065 Jan 9 01:03 00079.png\n-rw-r--r-- 1 root root 453664 Jan 9 01:03 00080.png\n-rw-r--r-- 1 root root 453205 Jan 9 01:03 00081.png\n-rw-r--r-- 1 root root 453099 Jan 9 01:03 00082.png\n-rw-r--r-- 1 root root 452723 Jan 9 01:03 00083.png\n-rw-r--r-- 1 root root 453054 Jan 9 01:03 00084.png\n-rw-r--r-- 1 root root 453590 Jan 9 01:03 00085.png\n-rw-r--r-- 1 root root 452972 Jan 9 01:04 00086.png\n-rw-r--r-- 1 root root 452709 Jan 9 01:04 00087.png\n-rw-r--r-- 1 root root 452226 Jan 9 01:04 00088.png\n-rw-r--r-- 1 root root 451859 Jan 9 01:04 00089.png\n-rw-r--r-- 1 root root 450933 Jan 9 01:04 00090.png\n-rw-r--r-- 1 root root 450130 Jan 9 01:04 00091.png\n-rw-r--r-- 1 root root 449346 Jan 9 01:04 00092.png\n-rw-r--r-- 1 root root 448710 Jan 9 01:04 00093.png\n-rw-r--r-- 1 root root 449121 Jan 9 01:04 00094.png\n-rw-r--r-- 1 root root 449020 Jan 9 01:04 00095.png\n-rw-r--r-- 1 root root 452215 Jan 9 01:04 00096.png\n-rw-r--r-- 1 root root 454183 Jan 9 01:04 00097.png\n-rw-r--r-- 1 root root 455703 Jan 9 01:04 00098.png\n-rw-r--r-- 1 root root 460491 Jan 9 01:04 00099.png\n-rw-r--r-- 1 root root 461193 Jan 9 01:04 00100.png\n-rw-r--r-- 1 root root 461792 Jan 9 01:04 00101.png\n-rw-r--r-- 1 root root 457635 Jan 9 01:04 00102.png\n-rw-r--r-- 1 root root 454040 Jan 9 01:04 00103.png\n-rw-r--r-- 1 root root 454591 Jan 9 01:04 00104.png\n-rw-r--r-- 1 root root 454079 Jan 9 01:04 00105.png\n-rw-r--r-- 1 root root 452005 Jan 9 01:04 00106.png\n-rw-r--r-- 1 root root 449500 Jan 9 01:04 00107.png\n-rw-r--r-- 1 root root 444827 Jan 9 01:04 00108.png\n-rw-r--r-- 1 root root 441865 Jan 9 01:04 00109.png\n-rw-r--r-- 1 root root 447422 Jan 9 01:04 00110.png\n-rw-r--r-- 1 root root 448081 Jan 9 01:04 00111.png\n-rw-r--r-- 1 root root 449574 Jan 9 01:04 00112.png\n-rw-r--r-- 1 root root 450023 Jan 9 01:04 00113.png\n-rw-r--r-- 1 root root 449529 Jan 9 01:04 00114.png\n-rw-r--r-- 1 root root 449946 Jan 9 01:04 00115.png\n-rw-r--r-- 1 root root 452424 Jan 9 01:04 00116.png\n-rw-r--r-- 1 root root 452480 Jan 9 01:04 00117.png\n-rw-r--r-- 1 root root 452947 Jan 9 01:04 00118.png\n-rw-r--r-- 1 root root 452542 Jan 9 01:05 00119.png\n-rw-r--r-- 1 root root 451998 Jan 9 01:05 00120.png\n-rw-r--r-- 1 root root 451446 Jan 9 01:05 00121.png\n-rw-r--r-- 1 root root 451085 Jan 9 01:05 00122.png\n-rw-r--r-- 1 root root 451772 Jan 9 01:05 00123.png\n-rw-r--r-- 1 root root 451843 Jan 9 01:05 00124.png\n-rw-r--r-- 1 root root 451773 Jan 9 01:05 00125.png\n-rw-r--r-- 1 root root 451222 Jan 9 01:05 00126.png\n-rw-r--r-- 1 root root 450606 Jan 9 01:05 00127.png\n-rw-r--r-- 1 root root 450393 Jan 9 01:05 00128.png\n-rw-r--r-- 1 root root 450590 Jan 9 01:05 00129.png\n-rw-r--r-- 1 root root 450157 Jan 9 01:05 00130.png\n-rw-r--r-- 1 root root 449736 Jan 9 01:05 00131.png\n-rw-r--r-- 1 root root 448997 Jan 9 01:05 00132.png\n-rw-r--r-- 1 root root 449416 Jan 9 01:05 00133.png\n-rw-r--r-- 1 root root 454893 Jan 9 01:05 00134.png\n-rw-r--r-- 1 root root 455212 Jan 9 01:05 00135.png\n-rw-r--r-- 1 root root 452269 Jan 9 01:05 00136.png\n-rw-r--r-- 1 root root 452865 Jan 9 01:05 00137.png\n-rw-r--r-- 1 root root 451725 Jan 9 01:05 00138.png\n-rw-r--r-- 1 root root 451329 Jan 9 01:05 00139.png\n-rw-r--r-- 1 root root 451881 Jan 9 01:05 00140.png\n-rw-r--r-- 1 root root 454441 Jan 9 01:05 00141.png\n-rw-r--r-- 1 root root 458399 Jan 9 01:05 00142.png\n-rw-r--r-- 1 root root 458372 Jan 9 01:05 00143.png\n-rw-r--r-- 1 root root 455242 Jan 9 01:05 00144.png\n-rw-r--r-- 1 root root 453584 Jan 9 01:05 00145.png\n-rw-r--r-- 1 root root 453522 Jan 9 01:05 00146.png\n-rw-r--r-- 1 root root 454562 Jan 9 01:05 00147.png\n-rw-r--r-- 1 root root 453107 Jan 9 01:05 00148.png\n-rw-r--r-- 1 root root 453497 Jan 9 01:05 00149.png\n-rw-r--r-- 1 root root 455726 Jan 9 01:05 00150.png\n-rw-r--r-- 1 root root 459550 Jan 9 01:06 00151.png\n-rw-r--r-- 1 root root 454823 Jan 9 01:06 00152.png\n-rw-r--r-- 1 root root 451558 Jan 9 01:06 00153.png\n-rw-r--r-- 1 root root 450491 Jan 9 01:06 00154.png\n-rw-r--r-- 1 root root 450303 Jan 9 01:06 00155.png\n-rw-r--r-- 1 root root 449075 Jan 9 01:06 00156.png\n-rw-r--r-- 1 root root 447176 Jan 9 01:06 00157.png\n-rw-r--r-- 1 root root 451197 Jan 9 01:06 00158.png\n-rw-r--r-- 1 root root 445608 Jan 9 01:06 00159.png\n-rw-r--r-- 1 root root 445552 Jan 9 01:06 00160.png\n-rw-r--r-- 1 root root 445597 Jan 9 01:06 00161.png\n-rw-r--r-- 1 root root 443118 Jan 9 01:06 00162.png\n-rw-r--r-- 1 root root 439619 Jan 9 01:06 00163.png\n-rw-r--r-- 1 root root 439793 Jan 9 01:06 00164.png\n-rw-r--r-- 1 root root 438491 Jan 9 01:06 00165.png\n-rw-r--r-- 1 root root 435084 Jan 9 01:06 00166.png\n-rw-r--r-- 1 root root 436700 Jan 9 01:06 00167.png\n-rw-r--r-- 1 root root 434062 Jan 9 01:06 00168.png\n-rw-r--r-- 1 root root 429865 Jan 9 01:06 00169.png\n-rw-r--r-- 1 root root 434376 Jan 9 01:06 00170.png\n-rw-r--r-- 1 root root 433678 Jan 9 01:06 00171.png\n-rw-r--r-- 1 root root 450069 Jan 9 01:06 00172.png\n-rw-r--r-- 1 root root 435164 Jan 9 01:06 00173.png\n-rw-r--r-- 1 root root 433687 Jan 9 01:06 00174.png\n-rw-r--r-- 1 root root 431982 Jan 9 01:06 00175.png\n-rw-r--r-- 1 root root 431759 Jan 9 01:06 00176.png\n-rw-r--r-- 1 root root 433593 Jan 9 01:06 00177.png\n-rw-r--r-- 1 root root 433440 Jan 9 01:06 00178.png\n-rw-r--r-- 1 root root 430188 Jan 9 01:06 00179.png\n-rw-r--r-- 1 root root 429311 Jan 9 01:06 00180.png\n-rw-r--r-- 1 root root 424654 Jan 9 01:06 00181.png\n-rw-r--r-- 1 root root 424278 Jan 9 01:06 00182.png\n-rw-r--r-- 1 root root 423476 Jan 9 01:06 00183.png\n-rw-r--r-- 1 root root 425070 Jan 9 01:07 00184.png\n-rw-r--r-- 1 root root 427673 Jan 9 01:07 00185.png\n-rw-r--r-- 1 root root 430857 Jan 9 01:07 00186.png\n-rw-r--r-- 1 root root 432178 Jan 9 01:07 00187.png\n-rw-r--r-- 1 root root 429551 Jan 9 01:07 00188.png\n-rw-r--r-- 1 root root 427793 Jan 9 01:07 00189.png\n-rw-r--r-- 1 root root 430578 Jan 9 01:07 00190.png\n-rw-r--r-- 1 root root 430206 Jan 9 01:07 00191.png\n-rw-r--r-- 1 root root 427786 Jan 9 01:07 00192.png\n-rw-r--r-- 1 root root 425017 Jan 9 01:07 00193.png\n-rw-r--r-- 1 root root 433458 Jan 9 01:07 00194.png\n-rw-r--r-- 1 root root 434157 Jan 9 01:07 00195.png\n-rw-r--r-- 1 root root 435333 Jan 9 01:07 00196.png\n-rw-r--r-- 1 root root 435323 Jan 9 01:07 00197.png\n-rw-r--r-- 1 root root 433283 Jan 9 01:07 00198.png\n-rw-r--r-- 1 root root 433606 Jan 9 01:07 00199.png\n-rw-r--r-- 1 root root 430909 Jan 9 01:07 00200.png\n-rw-r--r-- 1 root root 428107 Jan 9 01:07 00201.png\n-rw-r--r-- 1 root root 423854 Jan 9 01:07 00202.png\n-rw-r--r-- 1 root root 423828 Jan 9 01:07 00203.png\n-rw-r--r-- 1 root root 434300 Jan 9 01:07 00204.png\n-rw-r--r-- 1 root root 432793 Jan 9 01:07 00205.png\n-rw-r--r-- 1 root root 427195 Jan 9 01:07 00206.png\n-rw-r--r-- 1 root root 427706 Jan 9 01:07 00207.png\n-rw-r--r-- 1 root root 426521 Jan 9 01:07 00208.png\n-rw-r--r-- 1 root root 427266 Jan 9 01:07 00209.png\n-rw-r--r-- 1 root root 431563 Jan 9 01:07 00210.png\n-rw-r--r-- 1 root root 410870 Jan 9 01:07 00211.png\n-rw-r--r-- 1 root root 408680 Jan 9 01:07 00212.png\n-rw-r--r-- 1 root root 405316 Jan 9 01:07 00213.png\n-rw-r--r-- 1 root root 401588 Jan 9 01:07 00214.png\n-rw-r--r-- 1 root root 401074 Jan 9 01:07 00215.png\n-rw-r--r-- 1 root root 401574 Jan 9 01:08 00216.png\n-rw-r--r-- 1 root root 399318 Jan 9 01:08 00217.png\n-rw-r--r-- 1 root root 397416 Jan 9 01:08 00218.png\n-rw-r--r-- 1 root root 399252 Jan 9 01:08 00219.png\n-rw-r--r-- 1 root root 403929 Jan 9 01:08 00220.png\n-rw-r--r-- 1 root root 403757 Jan 9 01:08 00221.png\n-rw-r--r-- 1 root root 410955 Jan 9 01:08 00222.png\n-rw-r--r-- 1 root root 420230 Jan 9 01:08 00223.png\n-rw-r--r-- 1 root root 422071 Jan 9 01:08 00224.png\n-rw-r--r-- 1 root root 432235 Jan 9 01:08 00225.png\n-rw-r--r-- 1 root root 433261 Jan 9 01:08 00226.png\n-rw-r--r-- 1 root root 430950 Jan 9 01:08 00227.png\n-rw-r--r-- 1 root root 428307 Jan 9 01:08 00228.png\n-rw-r--r-- 1 root root 428242 Jan 9 01:08 00229.png\n-rw-r--r-- 1 root root 426775 Jan 9 01:08 00230.png\n-rw-r--r-- 1 root root 426590 Jan 9 01:08 00231.png\n-rw-r--r-- 1 root root 428600 Jan 9 01:08 00232.png\n-rw-r--r-- 1 root root 430363 Jan 9 01:08 00233.png\n-rw-r--r-- 1 root root 429199 Jan 9 01:08 00234.png\n-rw-r--r-- 1 root root 428127 Jan 9 01:08 00235.png\n-rw-r--r-- 1 root root 421274 Jan 9 01:08 00236.png\n-rw-r--r-- 1 root root 420600 Jan 9 01:08 00237.png\n-rw-r--r-- 1 root root 416685 Jan 9 01:08 00238.png\n-rw-r--r-- 1 root root 413983 Jan 9 01:08 00239.png\n-rw-r--r-- 1 root root 412951 Jan 9 01:08 00240.png\nffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers\nbuilt with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1)\nconfiguration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\nlibavutil 56. 31.100 / 56. 31.100\nlibavcodec 58. 54.100 / 58. 54.100\nlibavformat 58. 29.100 / 58. 29.100\nlibavdevice 58. 8.100 / 58. 8.100\nlibavfilter 7. 57.100 / 7. 57.100\nlibavresample 4. 0. 0 / 4. 0. 0\nlibswscale 5. 5.100 / 5. 5.100\nlibswresample 3. 5.100 / 3. 5.100\nlibpostproc 55. 5.100 / 55. 5.100\n[image2 @ 0x559b986336c0] Pattern type 'glob_sequence' is deprecated: use pattern_type 'glob' instead\nInput #0, image2, from './outputs/%*.png':\nDuration: 00:00:09.64, start: 0.000000, bitrate: N/A\nStream #0:0: Video: png, rgb24(pc), 512x512, 25 fps, 25 tbr, 25 tbn, 25 tbc\nGuessed Channel Layout for Input Stream #1.0 : stereo\nInput #1, aiff, from '/tmp/tmpl6sf_5_9cryo.aif':\nDuration: 00:00:16.00, start: 0.000000, bitrate: 2116 kb/s\nStream #1:0: Audio: pcm_s24be, 44100 Hz, stereo, s32 (24 bit), 2116 kb/s\nStream mapping:\nStream #0:0 -> #0:0 (png (native) -> h264 (libx264))\nStream #1:0 -> #0:1 (pcm_s24be (native) -> aac (native))\nPress [q] to stop, [?] for help\n[image2 @ 0x559b986336c0] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8)\n[libx264 @ 0x559b98681d00] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x559b98681d00] profile High, level 2.2\n[libx264 @ 0x559b98681d00] 264 - core 155 r2917 0a84d98 - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=15 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\nOutput #0, mp4, to '/tmp/z_interpollation.mp4':\nMetadata:\nencoder : Lavf58.29.100\nStream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p(progressive), 512x512, q=-1--1, 15 fps, 15360 tbn, 15 tbc\nMetadata:\nencoder : Lavc58.54.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1\nStream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp (24 bit), 128 kb/s\nMetadata:\nencoder : Lavc58.54.100 aac\nframe= 80 fps=0.0 q=24.0 size= 256kB time=00:00:00.48 bitrate=4301.6kbits/s speed=0.974x\nframe= 124 fps=120 q=24.0 size= 1280kB time=00:00:03.40 bitrate=3084.1kbits/s speed=3.29x\nframe= 166 fps=108 q=24.0 size= 2048kB time=00:00:06.20 bitrate=2706.0kbits/s speed=4.04x\nframe= 211 fps=103 q=24.0 size= 3072kB time=00:00:09.20 bitrate=2735.4kbits/s speed=4.49x\n[mp4 @ 0x559b98680a40] Starting second pass: moving the moov atom to the beginning of the file\nframe= 241 fps= 73 q=-1.0 Lsize= 5665kB time=00:00:16.02 bitrate=2896.5kbits/s speed=4.87x\nvideo:5404kB audio:252kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.166457%\n[libx264 @ 0x559b98681d00] frame I:4 Avg QP:20.35 size: 57658\n[libx264 @ 0x559b98681d00] frame P:68 Avg QP:21.68 size: 34521\n[libx264 @ 0x559b98681d00] frame B:169 Avg QP:23.93 size: 17483\n[libx264 @ 0x559b98681d00] consecutive B-frames: 5.8% 0.8% 3.7% 89.6%\n[libx264 @ 0x559b98681d00] mb I I16..4: 4.7% 50.3% 45.0%\n[libx264 @ 0x559b98681d00] mb P I16..4: 4.0% 15.0% 14.8% P16..4: 30.1% 20.5% 13.2% 0.0% 0.0% skip: 2.4%\n[libx264 @ 0x559b98681d00] mb B I16..4: 0.9% 2.6% 3.9% B16..8: 29.3% 18.6% 8.8% direct:17.8% skip:18.1% L0:41.4% L1:35.8% BI:22.9%\n[libx264 @ 0x559b98681d00] 8x8 transform intra:42.2% inter:45.5%\n[libx264 @ 0x559b98681d00] direct mvs spatial:95.3% temporal:4.7%\n[libx264 @ 0x559b98681d00] coded y,uvDC,uvAC intra: 83.8% 86.3% 63.9% inter: 57.9% 59.3% 11.3%\n[libx264 @ 0x559b98681d00] i16 v,h,dc,p: 12% 39% 7% 42%\n[libx264 @ 0x559b98681d00] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 14% 18% 8% 7% 10% 9% 12% 8% 13%\n[libx264 @ 0x559b98681d00] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 17% 17% 7% 8% 10% 10% 11% 9% 12%\n[libx264 @ 0x559b98681d00] i8c dc,h,v,p: 35% 31% 21% 13%\n[libx264 @ 0x559b98681d00] Weighted P-Frames: Y:33.8% UV:22.1%\n[libx264 @ 0x559b98681d00] ref P L0: 45.0% 19.1% 15.1% 10.7% 7.0% 3.1% 0.1%\n[libx264 @ 0x559b98681d00] ref B L0: 75.9% 15.4% 6.3% 2.4%\n[libx264 @ 0x559b98681d00] ref B L1: 93.2% 6.8%\n[libx264 @ 0x559b98681d00] kb/s:2754.86\n[aac @ 0x559b98683440] Qavg: 298.645", "metrics": { "predict_time": 448.042307, "total_time": 448.086998 }, "output": "https://replicate.delivery/pbxt/0szfxRqijGxcYaaqw9tHnpTAmfd2hAe4glYjRf36XXQDyGJBB/z_interpollation.mp4", "started_at": "2023-01-09T01:01:20.932482Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ycbfbcdmf5hv3gswwlkc5arkhm", "cancel": "https://api.replicate.com/v1/predictions/ycbfbcdmf5hv3gswwlkc5arkhm/cancel" }, "version": "978247576fc400ea964a6f7599345c6269df02d4d0bda74ac2f35549730740b6" }
Generated intranslated prompts ['A lively and whimsical apothecary where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius', 'A lively and whimsical laboratory where chrome robots shop grows from the stalk of a giant mushroom, cgsociety, siggraph, oleg oprisco, conrad roset, anka zhuravleva, gediminas pranckevicius'] using audio file /tmp/tmpl6sf_5_9cryo.aif hop length 1470 audio length 352800audio sr 22050 length of audio intensities 241 embedding prompts Global seed set to 13 using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 9.46it/s] 20%|██ | 3/15 [00:00<00:01, 9.57it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.40it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.24it/s] 40%|████ | 6/15 [00:00<00:00, 9.22it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.18it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.12it/s] 60%|██████ | 9/15 [00:00<00:00, 9.15it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.10it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.10it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.19it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s] 53%|█████▎ | 8/15 [00:00<00:00, 8.90it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.35it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.31it/s] 80%|████████ | 12/15 [00:01<00:00, 9.23it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.14it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.22it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.46it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.15it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.05it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.09it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.05it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.40it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.58it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.18it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.29it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.07it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.03it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.41it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.05it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.62it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.12it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.13it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.19it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.03it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.56it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 8.96it/s] 60%|██████ | 9/15 [00:00<00:00, 9.08it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.30it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.22it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.02it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.26it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.03it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.10it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.23it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.01it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.24it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.06it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.64it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.19it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.02it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.03it/s] 100%|██████████| 15/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.06it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.27it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.00it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s] 40%|████ | 6/15 [00:00<00:00, 9.43it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.27it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.11it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.02it/s] 100%|██████████| 15/15 [00:01<00:00, 9.32it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.33it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.42it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.19it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.01it/s] 100%|██████████| 15/15 [00:01<00:00, 9.32it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.52it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.48it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.28it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.22it/s] 60%|██████ | 9/15 [00:00<00:00, 9.14it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.29it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.07it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.07it/s] 100%|██████████| 15/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.16it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.47it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.24it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.07it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.03it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.97it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.60it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.15it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.26it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.08it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.14it/s] 80%|████████ | 12/15 [00:01<00:00, 9.23it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s] 100%|██████████| 15/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.12it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.26it/s] 80%|████████ | 12/15 [00:01<00:00, 9.23it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.64it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.07it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.14it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.00it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.17it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.06it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.42it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.12it/s] 73%|███████▎ | 11/15 [00:01<00:00, 8.61it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.80it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.04it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.21it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.14it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.06it/s] 100%|██████████| 15/15 [00:01<00:00, 9.32it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.63it/s] 40%|████ | 6/15 [00:00<00:00, 9.46it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.24it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.22it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.03it/s] 80%|████████ | 12/15 [00:01<00:00, 9.24it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.03it/s] 27%|██▋ | 4/15 [00:00<00:01, 10.00it/s] 40%|████ | 6/15 [00:00<00:00, 9.59it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.48it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.46it/s] 27%|██▋ | 4/15 [00:00<00:01, 10.05it/s] 40%|████ | 6/15 [00:00<00:00, 9.60it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.41it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s] 60%|██████ | 9/15 [00:00<00:00, 9.37it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.81it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.17it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.14it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.03it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.35it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.39it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.63it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.13it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.03it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.27it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.24it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.40it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.02it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.07it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.62it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.24it/s] 60%|██████ | 9/15 [00:00<00:00, 9.21it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.06it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.80it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.20it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.05it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.10it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.18it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.12it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.00it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.58it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.16it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.04it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.30it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.42it/s] 60%|██████ | 9/15 [00:00<00:00, 9.34it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.30it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.11it/s] 60%|██████ | 9/15 [00:00<00:00, 9.11it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.30it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.26it/s] 80%|████████ | 12/15 [00:01<00:00, 9.24it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.11it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.02it/s] 100%|██████████| 15/15 [00:01<00:00, 9.32it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.80it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.08it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.22it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.23it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.19it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.10it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.45it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.49it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s] 80%|████████ | 12/15 [00:01<00:00, 9.22it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.07it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.22it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.08it/s] 80%|████████ | 12/15 [00:01<00:00, 9.10it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.86it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.35it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.17it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.15it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.04it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.01it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.53it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.22it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.06it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.22it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.15it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.35it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.26it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.24it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.21it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.15it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.36it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.06it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.22it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.00it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.99it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.23it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.75it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.71it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.05it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.05it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.20it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.97it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 8.94it/s] 100%|██████████| 15/15 [00:01<00:00, 9.31it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.18it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.57it/s] 40%|████ | 6/15 [00:00<00:00, 9.42it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.22it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.00it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.15it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 8.99it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.04it/s] 100%|██████████| 15/15 [00:01<00:00, 9.07it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.11it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.39it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.06it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.07it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.06it/s] 80%|████████ | 12/15 [00:01<00:00, 9.22it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.05it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.23it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.10it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.97it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.22it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.46it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.12it/s] 80%|████████ | 12/15 [00:01<00:00, 9.22it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.38it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.42it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 8.93it/s] 100%|██████████| 15/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.60it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.14it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.21it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.40it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.06it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.13it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.72it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.57it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.55it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s] 60%|██████ | 9/15 [00:00<00:00, 9.23it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.13it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.05it/s] 100%|██████████| 15/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 8.89it/s] 87%|████████▋ | 13/15 [00:01<00:00, 8.99it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.32it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.35it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.91it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.25it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.11it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.20it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.59it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.01it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.13it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.42it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.47it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.39it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.03it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.15it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.72it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.72it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.07it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.22it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.08it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.17it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.28it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s] 80%|████████ | 12/15 [00:01<00:00, 9.08it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.17it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.12it/s] 80%|████████ | 12/15 [00:01<00:00, 9.23it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.15it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.10it/s] 87%|████████▋ | 13/15 [00:01<00:00, 8.93it/s] 100%|██████████| 15/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.64it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.07it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.16it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.17it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.90it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.41it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.18it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.11it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.08it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.58it/s] 40%|████ | 6/15 [00:00<00:00, 9.36it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.06it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image Nonefor 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 8.84it/s] 80%|████████ | 12/15 [00:01<00:00, 9.26it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.24it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.78it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.75it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.13it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.29it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.22it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.62it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.21it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.26it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 8.99it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.27it/s] 80%|████████ | 12/15 [00:01<00:00, 9.23it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s] 40%|████ | 6/15 [00:00<00:00, 9.43it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 8.96it/s] 100%|██████████| 15/15 [00:01<00:00, 9.31it/s] samples_ddimtorch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.58it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.28it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.21it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.25it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.07it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.05it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.00it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.75it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.59it/s] 40%|████ | 6/15 [00:00<00:00, 9.35it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.70it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.23it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.09it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.05it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.17it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.14it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.01it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.10it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 8.98it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.42it/s] 47%|████▋ | 7/15 [00:00<00:00, 8.97it/s] 60%|██████ | 9/15 [00:00<00:00, 9.34it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.32it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.52it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.24it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.10it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.20it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.98it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.47it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.24it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.80it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 8.71it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.10it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.44it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.47it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.03it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.13it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.07it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.34it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.56it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.13it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.09it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.39it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.35it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.04it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.05it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.08it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.45it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 8.69it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.63it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.25it/s] 60%|██████ | 9/15 [00:00<00:00, 9.19it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.14it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.08it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.61it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 8.99it/s] 80%|████████ | 12/15 [00:01<00:00, 9.00it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.22it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.19it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.77it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.60it/s] 40%|████ | 6/15 [00:00<00:00, 9.45it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.32it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.12it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.11it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.22it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.05it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s] 40%|████ | 6/15 [00:00<00:00, 9.48it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.08it/s] 27%|██▋ | 4/15 [00:00<00:01, 10.00it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s] 60%|██████ | 9/15 [00:00<00:00, 9.34it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.28it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.16it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.20it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.11it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 10.99it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.32it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.22it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.23it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.19it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.85it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.61it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s] 60%|██████ | 9/15 [00:00<00:00, 9.10it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.28it/s] 80%|████████ | 12/15 [00:01<00:00, 9.22it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.21it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.14it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.21it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.09it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.77it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.71it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.23it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.06it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.04it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.01it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.62it/s] 40%|████ | 6/15 [00:00<00:00, 9.14it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.34it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.34it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.38it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.22it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.26it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.03it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.64it/s] 40%|████ | 6/15 [00:00<00:00, 9.43it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.03it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.66it/s] 40%|████ | 6/15 [00:00<00:00, 9.42it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.12it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.21it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.27it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.12it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 8.70it/s] 100%|██████████| 15/15 [00:01<00:00, 9.25it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.04it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.39it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.19it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.08it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.17it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.03it/s] 100%|██████████| 15/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.17it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.67it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.03it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.23it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.82it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.65it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.36it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.26it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.44it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.45it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.37it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.16it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.15it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.09it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.33it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.41it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.30it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.08it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.20it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 8.95it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.27it/s] 80%|████████ | 12/15 [00:01<00:00, 9.24it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.05it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.20it/s] 100%|██████████| 15/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.34it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.17it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.43it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.18it/s] 60%|██████ | 9/15 [00:00<00:00, 9.36it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.31it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.25it/s] 80%|████████ | 12/15 [00:01<00:00, 9.22it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.20it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.38it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.26it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.18it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 8.64it/s] 100%|██████████| 15/15 [00:01<00:00, 9.23it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.87it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.68it/s] 40%|████ | 6/15 [00:00<00:00, 9.50it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.39it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.32it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.21it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.13it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.30it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.33it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.29it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.14it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.28it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.34it/s] 60%|██████ | 9/15 [00:00<00:00, 9.27it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.12it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.16it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.27it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.96it/s] 40%|████ | 6/15 [00:00<00:00, 9.57it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.38it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.40it/s] 60%|██████ | 9/15 [00:00<00:00, 9.33it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.32it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.17it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.16it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.07it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.41it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.90it/s] 40%|████ | 6/15 [00:00<00:00, 9.47it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.25it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.88it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.71it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.29it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.18it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.10it/s] 100%|██████████| 15/15 [00:01<00:00, 9.11it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.95it/s] 40%|████ | 6/15 [00:00<00:00, 9.45it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.48it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.37it/s] 60%|██████ | 9/15 [00:00<00:00, 9.31it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.24it/s] 80%|████████ | 12/15 [00:01<00:00, 9.21it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.37it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.94it/s] 40%|████ | 6/15 [00:00<00:00, 9.56it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.31it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.20it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.08it/s] 100%|██████████| 15/15 [00:01<00:00, 9.19it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.30it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.92it/s] 40%|████ | 6/15 [00:00<00:00, 9.54it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.44it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.29it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.22it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.20it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.19it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.26it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.93it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.46it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.35it/s] 60%|██████ | 9/15 [00:00<00:00, 9.30it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.01it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.13it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.12it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.83it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.69it/s] 40%|████ | 6/15 [00:00<00:00, 9.52it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.41it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.25it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.23it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.14it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.36it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.84it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.63it/s] 40%|████ | 6/15 [00:00<00:00, 9.49it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.33it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.27it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.18it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.21it/s] 80%|████████ | 12/15 [00:01<00:00, 9.19it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.15it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.13it/s] 100%|██████████| 15/15 [00:01<00:00, 9.01it/s] 100%|██████████| 15/15 [00:01<00:00, 9.32it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.31it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.53it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.43it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.33it/s] 60%|██████ | 9/15 [00:00<00:00, 9.28it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.25it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.22it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.17it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.14it/s] 100%|██████████| 15/15 [00:01<00:00, 9.36it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.33it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.91it/s] 40%|████ | 6/15 [00:00<00:00, 9.55it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.42it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.36it/s] 60%|██████ | 9/15 [00:00<00:00, 9.24it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.24it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.23it/s] 80%|████████ | 12/15 [00:01<00:00, 9.23it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.06it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.18it/s] 100%|██████████| 15/15 [00:01<00:00, 9.16it/s] 100%|██████████| 15/15 [00:01<00:00, 9.37it/s] samples_ddim torch.Size([1, 4, 64, 64]) using init image None for 0 steps sigmas tensor([14.6146, 9.6826, 6.6780, 4.7746, 3.5221, 2.6666, 2.0606, 1.6156, 1.2768, 1.0097, 0.7913, 0.6055, 0.4397, 0.2780, 0.0292, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 13%|█▎ | 2/15 [00:00<00:01, 11.23it/s] 27%|██▋ | 4/15 [00:00<00:01, 9.89it/s] 33%|███▎ | 5/15 [00:00<00:01, 9.59it/s] 40%|████ | 6/15 [00:00<00:00, 9.51it/s] 47%|████▋ | 7/15 [00:00<00:00, 9.40it/s] 53%|█████▎ | 8/15 [00:00<00:00, 9.28it/s] 60%|██████ | 9/15 [00:00<00:00, 9.23it/s] 67%|██████▋ | 10/15 [00:01<00:00, 9.20it/s] 73%|███████▎ | 11/15 [00:01<00:00, 9.09it/s] 80%|████████ | 12/15 [00:01<00:00, 9.17it/s] 87%|████████▋ | 13/15 [00:01<00:00, 9.18it/s] 93%|█████████▎| 14/15 [00:01<00:00, 9.09it/s] 100%|██████████| 15/15 [00:01<00:00, 9.15it/s] 100%|██████████| 15/15 [00:01<00:00, 9.35it/s] samples_ddim torch.Size([1, 4, 64, 64]) Your samples have been saved to: ./outputs Enjoy. total 105488 -rw-r--r-- 1 root root 479289 Jan 9 01:01 00000.png -rw-r--r-- 1 root root 479406 Jan 9 01:01 00001.png -rw-r--r-- 1 root root 469413 Jan 9 01:01 00002.png -rw-r--r-- 1 root root 468031 Jan 9 01:01 00003.png -rw-r--r-- 1 root root 468228 Jan 9 01:01 00004.png -rw-r--r-- 1 root root 467703 Jan 9 01:01 00005.png -rw-r--r-- 1 root root 472531 Jan 9 01:01 00006.png -rw-r--r-- 1 root root 474333 Jan 9 01:01 00007.png -rw-r--r-- 1 root root 471072 Jan 9 01:01 00008.png -rw-r--r-- 1 root root 462798 Jan 9 01:01 00009.png -rw-r--r-- 1 root root 459603 Jan 9 01:01 00010.png -rw-r--r-- 1 root root 465091 Jan 9 01:01 00011.png -rw-r--r-- 1 root root 466527 Jan 9 01:01 00012.png -rw-r--r-- 1 root root 465580 Jan 9 01:01 00013.png -rw-r--r-- 1 root root 468738 Jan 9 01:01 00014.png -rw-r--r-- 1 root root 469149 Jan 9 01:01 00015.png -rw-r--r-- 1 root root 470297 Jan 9 01:01 00016.png -rw-r--r-- 1 root root 471208 Jan 9 01:01 00017.png -rw-r--r-- 1 root root 471329 Jan 9 01:01 00018.png -rw-r--r-- 1 root root 473291 Jan 9 01:01 00019.png -rw-r--r-- 1 root root 469286 Jan 9 01:02 00020.png -rw-r--r-- 1 root root 466780 Jan 9 01:02 00021.png -rw-r--r-- 1 root root 467275 Jan 9 01:02 00022.png -rw-r--r-- 1 root root 467521 Jan 9 01:02 00023.png -rw-r--r-- 1 root root 467087 Jan 9 01:02 00024.png -rw-r--r-- 1 root root 469702 Jan 9 01:02 00025.png -rw-r--r-- 1 root root 466855 Jan 9 01:02 00026.png -rw-r--r-- 1 root root 470028 Jan 9 01:02 00027.png -rw-r--r-- 1 root root 470999 Jan 9 01:02 00028.png -rw-r--r-- 1 root root 468953 Jan 9 01:02 00029.png -rw-r--r-- 1 root root 465711 Jan 9 01:02 00030.png -rw-r--r-- 1 root root 455755 Jan 9 01:02 00031.png -rw-r--r-- 1 root root 455318 Jan 9 01:02 00032.png -rw-r--r-- 1 root root 456940 Jan 9 01:02 00033.png -rw-r--r-- 1 root root 456556 Jan 9 01:02 00034.png -rw-r--r-- 1 root root 457922 Jan 9 01:02 00035.png -rw-r--r-- 1 root root 456405 Jan 9 01:02 00036.png -rw-r--r-- 1 root root 454998 Jan 9 01:02 00037.png -rw-r--r-- 1 root root 455973 Jan 9 01:02 00038.png -rw-r--r-- 1 root root 456538 Jan 9 01:02 00039.png -rw-r--r-- 1 root root 454002 Jan 9 01:02 00040.png -rw-r--r-- 1 root root 453602 Jan 9 01:02 00041.png -rw-r--r-- 1 root root 454280 Jan 9 01:02 00042.png -rw-r--r-- 1 root root 454038 Jan 9 01:02 00043.png -rw-r--r-- 1 root root 452321 Jan 9 01:02 00044.png -rw-r--r-- 1 root root 451856 Jan 9 01:02 00045.png -rw-r--r-- 1 root root 453497 Jan 9 01:02 00046.png -rw-r--r-- 1 root root 455763 Jan 9 01:02 00047.png -rw-r--r-- 1 root root 457397 Jan 9 01:02 00048.png -rw-r--r-- 1 root root 456108 Jan 9 01:02 00049.png -rw-r--r-- 1 root root 455401 Jan 9 01:02 00050.png -rw-r--r-- 1 root root 457796 Jan 9 01:02 00051.png -rw-r--r-- 1 root root 456896 Jan 9 01:02 00052.png -rw-r--r-- 1 root root 456127 Jan 9 01:03 00053.png -rw-r--r-- 1 root root 455374 Jan 9 01:03 00054.png -rw-r--r-- 1 root root 454854 Jan 9 01:03 00055.png -rw-r--r-- 1 root root 455245 Jan 9 01:03 00056.png -rw-r--r-- 1 root root 450078 Jan 9 01:03 00057.png -rw-r--r-- 1 root root 445389 Jan 9 01:03 00058.png -rw-r--r-- 1 root root 454761 Jan 9 01:03 00059.png -rw-r--r-- 1 root root 459830 Jan 9 01:03 00060.png -rw-r--r-- 1 root root 462658 Jan 9 01:03 00061.png -rw-r--r-- 1 root root 463847 Jan 9 01:03 00062.png -rw-r--r-- 1 root root 458546 Jan 9 01:03 00063.png -rw-r--r-- 1 root root 457419 Jan 9 01:03 00064.png -rw-r--r-- 1 root root 457814 Jan 9 01:03 00065.png -rw-r--r-- 1 root root 453718 Jan 9 01:03 00066.png -rw-r--r-- 1 root root 446035 Jan 9 01:03 00067.png -rw-r--r-- 1 root root 450087 Jan 9 01:03 00068.png -rw-r--r-- 1 root root 452809 Jan 9 01:03 00069.png -rw-r--r-- 1 root root 454014 Jan 9 01:03 00070.png -rw-r--r-- 1 root root 454440 Jan 9 01:03 00071.png -rw-r--r-- 1 root root 450886 Jan 9 01:03 00072.png -rw-r--r-- 1 root root 453785 Jan 9 01:03 00073.png -rw-r--r-- 1 root root 452985 Jan 9 01:03 00074.png -rw-r--r-- 1 root root 453827 Jan 9 01:03 00075.png -rw-r--r-- 1 root root 452372 Jan 9 01:03 00076.png -rw-r--r-- 1 root root 452780 Jan 9 01:03 00077.png -rw-r--r-- 1 root root 452595 Jan 9 01:03 00078.png -rw-r--r-- 1 root root 454065 Jan 9 01:03 00079.png -rw-r--r-- 1 root root 453664 Jan 9 01:03 00080.png -rw-r--r-- 1 root root 453205 Jan 9 01:03 00081.png -rw-r--r-- 1 root root 453099 Jan 9 01:03 00082.png -rw-r--r-- 1 root root 452723 Jan 9 01:03 00083.png -rw-r--r-- 1 root root 453054 Jan 9 01:03 00084.png -rw-r--r-- 1 root root 453590 Jan 9 01:03 00085.png -rw-r--r-- 1 root root 452972 Jan 9 01:04 00086.png -rw-r--r-- 1 root root 452709 Jan 9 01:04 00087.png -rw-r--r-- 1 root root 452226 Jan 9 01:04 00088.png -rw-r--r-- 1 root root 451859 Jan 9 01:04 00089.png -rw-r--r-- 1 root root 450933 Jan 9 01:04 00090.png -rw-r--r-- 1 root root 450130 Jan 9 01:04 00091.png -rw-r--r-- 1 root root 449346 Jan 9 01:04 00092.png -rw-r--r-- 1 root root 448710 Jan 9 01:04 00093.png -rw-r--r-- 1 root root 449121 Jan 9 01:04 00094.png -rw-r--r-- 1 root root 449020 Jan 9 01:04 00095.png -rw-r--r-- 1 root root 452215 Jan 9 01:04 00096.png -rw-r--r-- 1 root root 454183 Jan 9 01:04 00097.png -rw-r--r-- 1 root root 455703 Jan 9 01:04 00098.png -rw-r--r-- 1 root root 460491 Jan 9 01:04 00099.png -rw-r--r-- 1 root root 461193 Jan 9 01:04 00100.png -rw-r--r-- 1 root root 461792 Jan 9 01:04 00101.png -rw-r--r-- 1 root root 457635 Jan 9 01:04 00102.png -rw-r--r-- 1 root root 454040 Jan 9 01:04 00103.png -rw-r--r-- 1 root root 454591 Jan 9 01:04 00104.png -rw-r--r-- 1 root root 454079 Jan 9 01:04 00105.png -rw-r--r-- 1 root root 452005 Jan 9 01:04 00106.png -rw-r--r-- 1 root root 449500 Jan 9 01:04 00107.png -rw-r--r-- 1 root root 444827 Jan 9 01:04 00108.png -rw-r--r-- 1 root root 441865 Jan 9 01:04 00109.png -rw-r--r-- 1 root root 447422 Jan 9 01:04 00110.png -rw-r--r-- 1 root root 448081 Jan 9 01:04 00111.png -rw-r--r-- 1 root root 449574 Jan 9 01:04 00112.png -rw-r--r-- 1 root root 450023 Jan 9 01:04 00113.png -rw-r--r-- 1 root root 449529 Jan 9 01:04 00114.png -rw-r--r-- 1 root root 449946 Jan 9 01:04 00115.png -rw-r--r-- 1 root root 452424 Jan 9 01:04 00116.png -rw-r--r-- 1 root root 452480 Jan 9 01:04 00117.png -rw-r--r-- 1 root root 452947 Jan 9 01:04 00118.png -rw-r--r-- 1 root root 452542 Jan 9 01:05 00119.png -rw-r--r-- 1 root root 451998 Jan 9 01:05 00120.png -rw-r--r-- 1 root root 451446 Jan 9 01:05 00121.png -rw-r--r-- 1 root root 451085 Jan 9 01:05 00122.png -rw-r--r-- 1 root root 451772 Jan 9 01:05 00123.png -rw-r--r-- 1 root root 451843 Jan 9 01:05 00124.png -rw-r--r-- 1 root root 451773 Jan 9 01:05 00125.png -rw-r--r-- 1 root root 451222 Jan 9 01:05 00126.png -rw-r--r-- 1 root root 450606 Jan 9 01:05 00127.png -rw-r--r-- 1 root root 450393 Jan 9 01:05 00128.png -rw-r--r-- 1 root root 450590 Jan 9 01:05 00129.png -rw-r--r-- 1 root root 450157 Jan 9 01:05 00130.png -rw-r--r-- 1 root root 449736 Jan 9 01:05 00131.png -rw-r--r-- 1 root root 448997 Jan 9 01:05 00132.png -rw-r--r-- 1 root root 449416 Jan 9 01:05 00133.png -rw-r--r-- 1 root root 454893 Jan 9 01:05 00134.png -rw-r--r-- 1 root root 455212 Jan 9 01:05 00135.png -rw-r--r-- 1 root root 452269 Jan 9 01:05 00136.png -rw-r--r-- 1 root root 452865 Jan 9 01:05 00137.png -rw-r--r-- 1 root root 451725 Jan 9 01:05 00138.png -rw-r--r-- 1 root root 451329 Jan 9 01:05 00139.png -rw-r--r-- 1 root root 451881 Jan 9 01:05 00140.png -rw-r--r-- 1 root root 454441 Jan 9 01:05 00141.png -rw-r--r-- 1 root root 458399 Jan 9 01:05 00142.png -rw-r--r-- 1 root root 458372 Jan 9 01:05 00143.png -rw-r--r-- 1 root root 455242 Jan 9 01:05 00144.png -rw-r--r-- 1 root root 453584 Jan 9 01:05 00145.png -rw-r--r-- 1 root root 453522 Jan 9 01:05 00146.png -rw-r--r-- 1 root root 454562 Jan 9 01:05 00147.png -rw-r--r-- 1 root root 453107 Jan 9 01:05 00148.png -rw-r--r-- 1 root root 453497 Jan 9 01:05 00149.png -rw-r--r-- 1 root root 455726 Jan 9 01:05 00150.png -rw-r--r-- 1 root root 459550 Jan 9 01:06 00151.png -rw-r--r-- 1 root root 454823 Jan 9 01:06 00152.png -rw-r--r-- 1 root root 451558 Jan 9 01:06 00153.png -rw-r--r-- 1 root root 450491 Jan 9 01:06 00154.png -rw-r--r-- 1 root root 450303 Jan 9 01:06 00155.png -rw-r--r-- 1 root root 449075 Jan 9 01:06 00156.png -rw-r--r-- 1 root root 447176 Jan 9 01:06 00157.png -rw-r--r-- 1 root root 451197 Jan 9 01:06 00158.png -rw-r--r-- 1 root root 445608 Jan 9 01:06 00159.png -rw-r--r-- 1 root root 445552 Jan 9 01:06 00160.png -rw-r--r-- 1 root root 445597 Jan 9 01:06 00161.png -rw-r--r-- 1 root root 443118 Jan 9 01:06 00162.png -rw-r--r-- 1 root root 439619 Jan 9 01:06 00163.png -rw-r--r-- 1 root root 439793 Jan 9 01:06 00164.png -rw-r--r-- 1 root root 438491 Jan 9 01:06 00165.png -rw-r--r-- 1 root root 435084 Jan 9 01:06 00166.png -rw-r--r-- 1 root root 436700 Jan 9 01:06 00167.png -rw-r--r-- 1 root root 434062 Jan 9 01:06 00168.png -rw-r--r-- 1 root root 429865 Jan 9 01:06 00169.png -rw-r--r-- 1 root root 434376 Jan 9 01:06 00170.png -rw-r--r-- 1 root root 433678 Jan 9 01:06 00171.png -rw-r--r-- 1 root root 450069 Jan 9 01:06 00172.png -rw-r--r-- 1 root root 435164 Jan 9 01:06 00173.png -rw-r--r-- 1 root root 433687 Jan 9 01:06 00174.png -rw-r--r-- 1 root root 431982 Jan 9 01:06 00175.png -rw-r--r-- 1 root root 431759 Jan 9 01:06 00176.png -rw-r--r-- 1 root root 433593 Jan 9 01:06 00177.png -rw-r--r-- 1 root root 433440 Jan 9 01:06 00178.png -rw-r--r-- 1 root root 430188 Jan 9 01:06 00179.png -rw-r--r-- 1 root root 429311 Jan 9 01:06 00180.png -rw-r--r-- 1 root root 424654 Jan 9 01:06 00181.png -rw-r--r-- 1 root root 424278 Jan 9 01:06 00182.png -rw-r--r-- 1 root root 423476 Jan 9 01:06 00183.png -rw-r--r-- 1 root root 425070 Jan 9 01:07 00184.png -rw-r--r-- 1 root root 427673 Jan 9 01:07 00185.png -rw-r--r-- 1 root root 430857 Jan 9 01:07 00186.png -rw-r--r-- 1 root root 432178 Jan 9 01:07 00187.png -rw-r--r-- 1 root root 429551 Jan 9 01:07 00188.png -rw-r--r-- 1 root root 427793 Jan 9 01:07 00189.png -rw-r--r-- 1 root root 430578 Jan 9 01:07 00190.png -rw-r--r-- 1 root root 430206 Jan 9 01:07 00191.png -rw-r--r-- 1 root root 427786 Jan 9 01:07 00192.png -rw-r--r-- 1 root root 425017 Jan 9 01:07 00193.png -rw-r--r-- 1 root root 433458 Jan 9 01:07 00194.png -rw-r--r-- 1 root root 434157 Jan 9 01:07 00195.png -rw-r--r-- 1 root root 435333 Jan 9 01:07 00196.png -rw-r--r-- 1 root root 435323 Jan 9 01:07 00197.png -rw-r--r-- 1 root root 433283 Jan 9 01:07 00198.png -rw-r--r-- 1 root root 433606 Jan 9 01:07 00199.png -rw-r--r-- 1 root root 430909 Jan 9 01:07 00200.png -rw-r--r-- 1 root root 428107 Jan 9 01:07 00201.png -rw-r--r-- 1 root root 423854 Jan 9 01:07 00202.png -rw-r--r-- 1 root root 423828 Jan 9 01:07 00203.png -rw-r--r-- 1 root root 434300 Jan 9 01:07 00204.png -rw-r--r-- 1 root root 432793 Jan 9 01:07 00205.png -rw-r--r-- 1 root root 427195 Jan 9 01:07 00206.png -rw-r--r-- 1 root root 427706 Jan 9 01:07 00207.png -rw-r--r-- 1 root root 426521 Jan 9 01:07 00208.png -rw-r--r-- 1 root root 427266 Jan 9 01:07 00209.png -rw-r--r-- 1 root root 431563 Jan 9 01:07 00210.png -rw-r--r-- 1 root root 410870 Jan 9 01:07 00211.png -rw-r--r-- 1 root root 408680 Jan 9 01:07 00212.png -rw-r--r-- 1 root root 405316 Jan 9 01:07 00213.png -rw-r--r-- 1 root root 401588 Jan 9 01:07 00214.png -rw-r--r-- 1 root root 401074 Jan 9 01:07 00215.png -rw-r--r-- 1 root root 401574 Jan 9 01:08 00216.png -rw-r--r-- 1 root root 399318 Jan 9 01:08 00217.png -rw-r--r-- 1 root root 397416 Jan 9 01:08 00218.png -rw-r--r-- 1 root root 399252 Jan 9 01:08 00219.png -rw-r--r-- 1 root root 403929 Jan 9 01:08 00220.png -rw-r--r-- 1 root root 403757 Jan 9 01:08 00221.png -rw-r--r-- 1 root root 410955 Jan 9 01:08 00222.png -rw-r--r-- 1 root root 420230 Jan 9 01:08 00223.png -rw-r--r-- 1 root root 422071 Jan 9 01:08 00224.png -rw-r--r-- 1 root root 432235 Jan 9 01:08 00225.png -rw-r--r-- 1 root root 433261 Jan 9 01:08 00226.png -rw-r--r-- 1 root root 430950 Jan 9 01:08 00227.png -rw-r--r-- 1 root root 428307 Jan 9 01:08 00228.png -rw-r--r-- 1 root root 428242 Jan 9 01:08 00229.png -rw-r--r-- 1 root root 426775 Jan 9 01:08 00230.png -rw-r--r-- 1 root root 426590 Jan 9 01:08 00231.png -rw-r--r-- 1 root root 428600 Jan 9 01:08 00232.png -rw-r--r-- 1 root root 430363 Jan 9 01:08 00233.png -rw-r--r-- 1 root root 429199 Jan 9 01:08 00234.png -rw-r--r-- 1 root root 428127 Jan 9 01:08 00235.png -rw-r--r-- 1 root root 421274 Jan 9 01:08 00236.png -rw-r--r-- 1 root root 420600 Jan 9 01:08 00237.png -rw-r--r-- 1 root root 416685 Jan 9 01:08 00238.png -rw-r--r-- 1 root root 413983 Jan 9 01:08 00239.png -rw-r--r-- 1 root root 412951 Jan 9 01:08 00240.png ffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1) configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared libavutil 56. 31.100 / 56. 31.100 libavcodec 58. 54.100 / 58. 54.100 libavformat 58. 29.100 / 58. 29.100 libavdevice 58. 8.100 / 58. 8.100 libavfilter 7. 57.100 / 7. 57.100 libavresample 4. 0. 0 / 4. 0. 0 libswscale 5. 5.100 / 5. 5.100 libswresample 3. 5.100 / 3. 5.100 libpostproc 55. 5.100 / 55. 5.100 [image2 @ 0x559b986336c0] Pattern type 'glob_sequence' is deprecated: use pattern_type 'glob' instead Input #0, image2, from './outputs/%*.png': Duration: 00:00:09.64, start: 0.000000, bitrate: N/A Stream #0:0: Video: png, rgb24(pc), 512x512, 25 fps, 25 tbr, 25 tbn, 25 tbc Guessed Channel Layout for Input Stream #1.0 : stereo Input #1, aiff, from '/tmp/tmpl6sf_5_9cryo.aif': Duration: 00:00:16.00, start: 0.000000, bitrate: 2116 kb/s Stream #1:0: Audio: pcm_s24be, 44100 Hz, stereo, s32 (24 bit), 2116 kb/s Stream mapping: Stream #0:0 -> #0:0 (png (native) -> h264 (libx264)) Stream #1:0 -> #0:1 (pcm_s24be (native) -> aac (native)) Press [q] to stop, [?] for help [image2 @ 0x559b986336c0] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8) [libx264 @ 0x559b98681d00] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512 [libx264 @ 0x559b98681d00] profile High, level 2.2 [libx264 @ 0x559b98681d00] 264 - core 155 r2917 0a84d98 - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=15 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mp4, to '/tmp/z_interpollation.mp4': Metadata: encoder : Lavf58.29.100 Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p(progressive), 512x512, q=-1--1, 15 fps, 15360 tbn, 15 tbc Metadata: encoder : Lavc58.54.100 libx264 Side data: cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1 Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp (24 bit), 128 kb/s Metadata: encoder : Lavc58.54.100 aac frame= 80 fps=0.0 q=24.0 size= 256kB time=00:00:00.48 bitrate=4301.6kbits/s speed=0.974x frame= 124 fps=120 q=24.0 size= 1280kB time=00:00:03.40 bitrate=3084.1kbits/s speed=3.29x frame= 166 fps=108 q=24.0 size= 2048kB time=00:00:06.20 bitrate=2706.0kbits/s speed=4.04x frame= 211 fps=103 q=24.0 size= 3072kB time=00:00:09.20 bitrate=2735.4kbits/s speed=4.49x [mp4 @ 0x559b98680a40] Starting second pass: moving the moov atom to the beginning of the file frame= 241 fps= 73 q=-1.0 Lsize= 5665kB time=00:00:16.02 bitrate=2896.5kbits/s speed=4.87x video:5404kB audio:252kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.166457% [libx264 @ 0x559b98681d00] frame I:4 Avg QP:20.35 size: 57658 [libx264 @ 0x559b98681d00] frame P:68 Avg QP:21.68 size: 34521 [libx264 @ 0x559b98681d00] frame B:169 Avg QP:23.93 size: 17483 [libx264 @ 0x559b98681d00] consecutive B-frames: 5.8% 0.8% 3.7% 89.6% [libx264 @ 0x559b98681d00] mb I I16..4: 4.7% 50.3% 45.0% [libx264 @ 0x559b98681d00] mb P I16..4: 4.0% 15.0% 14.8% P16..4: 30.1% 20.5% 13.2% 0.0% 0.0% skip: 2.4% [libx264 @ 0x559b98681d00] mb B I16..4: 0.9% 2.6% 3.9% B16..8: 29.3% 18.6% 8.8% direct:17.8% skip:18.1% L0:41.4% L1:35.8% BI:22.9% [libx264 @ 0x559b98681d00] 8x8 transform intra:42.2% inter:45.5% [libx264 @ 0x559b98681d00] direct mvs spatial:95.3% temporal:4.7% [libx264 @ 0x559b98681d00] coded y,uvDC,uvAC intra: 83.8% 86.3% 63.9% inter: 57.9% 59.3% 11.3% [libx264 @ 0x559b98681d00] i16 v,h,dc,p: 12% 39% 7% 42% [libx264 @ 0x559b98681d00] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 14% 18% 8% 7% 10% 9% 12% 8% 13% [libx264 @ 0x559b98681d00] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 17% 17% 7% 8% 10% 10% 11% 9% 12% [libx264 @ 0x559b98681d00] i8c dc,h,v,p: 35% 31% 21% 13% [libx264 @ 0x559b98681d00] Weighted P-Frames: Y:33.8% UV:22.1% [libx264 @ 0x559b98681d00] ref P L0: 45.0% 19.1% 15.1% 10.7% 7.0% 3.1% 0.1% [libx264 @ 0x559b98681d00] ref B L0: 75.9% 15.4% 6.3% 2.4% [libx264 @ 0x559b98681d00] ref B L1: 93.2% 6.8% [libx264 @ 0x559b98681d00] kb/s:2754.86 [aac @ 0x559b98683440] Qavg: 298.645
Prediction
pollinations/stable-diffusion-dance:dfb636aaIDbl33ma7qx5bgxb5zohdqbboq2mStatusSucceededSourceWebHardware–Total durationCreatedInput
- width
- 384
- height
- 512
- prompts
- Robot with headphones listening to music, lowbrow, hd Android with headphones listening to music, lowbrow, hd
- audio_file
- Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%Stream Type LIVERemaining Time -00:00:0001x
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
- batch_size
- 24
- frame_rate
- 15
- random_seed
- 13
- prompt_scale
- 15
- audio_smoothing
- 0.7
- diffusion_steps
- 10
{ "width": 384, "height": 512, "prompts": "Robot with headphones listening to music, lowbrow, hd\nAndroid with headphones listening to music, lowbrow, hd", "audio_file": "https://replicate.delivery/pbxt/I7e9zqytAX438lKTdrgIKm9m0uV5i1sOlqn0M1MnGfF0UQh9/ushuaia.aif", "batch_size": 24, "frame_rate": 15, "random_seed": 13, "prompt_scale": 15, "audio_smoothing": 0.7, "diffusion_steps": 10 }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "pollinations/stable-diffusion-dance:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", { input: { width: 384, height: 512, prompts: "Robot with headphones listening to music, lowbrow, hd\nAndroid with headphones listening to music, lowbrow, hd", audio_file: "https://replicate.delivery/pbxt/I7e9zqytAX438lKTdrgIKm9m0uV5i1sOlqn0M1MnGfF0UQh9/ushuaia.aif", batch_size: 24, frame_rate: 15, random_seed: 13, prompt_scale: 15, audio_smoothing: 0.7, diffusion_steps: 10 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "pollinations/stable-diffusion-dance:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", input={ "width": 384, "height": 512, "prompts": "Robot with headphones listening to music, lowbrow, hd\nAndroid with headphones listening to music, lowbrow, hd", "audio_file": "https://replicate.delivery/pbxt/I7e9zqytAX438lKTdrgIKm9m0uV5i1sOlqn0M1MnGfF0UQh9/ushuaia.aif", "batch_size": 24, "frame_rate": 15, "random_seed": 13, "prompt_scale": 15, "audio_smoothing": 0.7, "diffusion_steps": 10 } ) # The pollinations/stable-diffusion-dance model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/pollinations/stable-diffusion-dance/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", "input": { "width": 384, "height": 512, "prompts": "Robot with headphones listening to music, lowbrow, hd\\nAndroid with headphones listening to music, lowbrow, hd", "audio_file": "https://replicate.delivery/pbxt/I7e9zqytAX438lKTdrgIKm9m0uV5i1sOlqn0M1MnGfF0UQh9/ushuaia.aif", "batch_size": 24, "frame_rate": 15, "random_seed": 13, "prompt_scale": 15, "audio_smoothing": 0.7, "diffusion_steps": 10 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-01-12T17:03:09.059507Z", "created_at": "2023-01-12T16:54:34.779462Z", "data_removed": false, "error": null, "id": "bl33ma7qx5bgxb5zohdqbboq2m", "input": { "width": 384, "height": 512, "prompts": "Robot with headphones listening to music, lowbrow, hd\nAndroid with headphones listening to music, lowbrow, hd", "audio_file": "https://replicate.delivery/pbxt/I7e9zqytAX438lKTdrgIKm9m0uV5i1sOlqn0M1MnGfF0UQh9/ushuaia.aif", "batch_size": 24, "frame_rate": 15, "random_seed": 13, "prompt_scale": 15, "audio_smoothing": 0.7, "diffusion_steps": 10 }, "logs": "translated prompts ['Robot with headphones listening to music, lowbrow, hd', 'Android with headphones listening to music, lowbrow, hd']\nusing audio file /tmp/tmpdifwcsb9ushuaia.aif\nhop length 1470 audio length 1373497 audio sr 22050\nlength of audio intensities 935\nnum frames per prompt 935\nembedding prompts\nGlobal seed set to 13\nprompt 0 shape torch.Size([1, 77, 768])\nlen smoothed_audio_intensities 935 len interpolated_prompts 935\ninterp prompts 0 shape torch.Size([1, 77, 768]) start_codes 0 shape torch.Size([1, 4, 64, 48])\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:05<00:46, 5.21s/it]\n 20%|██ | 2/10 [00:05<00:19, 2.41s/it]\n 30%|███ | 3/10 [00:06<00:11, 1.59s/it]\n 40%|████ | 4/10 [00:06<00:07, 1.21s/it]\n 50%|█████ | 5/10 [00:07<00:04, 1.01it/s]\n 60%|██████ | 6/10 [00:08<00:03, 1.16it/s]\n 70%|███████ | 7/10 [00:08<00:02, 1.28it/s]\n 80%|████████ | 8/10 [00:09<00:01, 1.37it/s]\n 90%|█████████ | 9/10 [00:09<00:00, 1.44it/s]\n100%|██████████| 10/10 [00:10<00:00, 1.49it/s]\n100%|██████████| 10/10 [00:10<00:00, 1.06s/it]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00000.png\nSaved ./outputs/00001.png\nSaved ./outputs/00002.png\nSaved ./outputs/00003.png\nSaved ./outputs/00004.png\nSaved ./outputs/00005.png\nSaved ./outputs/00006.png\nSaved ./outputs/00007.png\nSaved ./outputs/00008.png\nSaved ./outputs/00009.png\nSaved ./outputs/00010.png\nSaved ./outputs/00011.png\nSaved ./outputs/00012.png\nSaved ./outputs/00013.png\nSaved ./outputs/00014.png\nSaved ./outputs/00015.png\nSaved ./outputs/00016.png\nSaved ./outputs/00017.png\nSaved ./outputs/00018.png\nSaved ./outputs/00019.png\nSaved ./outputs/00020.png\nSaved ./outputs/00021.png\nSaved ./outputs/00022.png\nSaved ./outputs/00023.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.89it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.14it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.87it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00024.png\nSaved ./outputs/00025.png\nSaved ./outputs/00026.png\nSaved ./outputs/00027.png\nSaved ./outputs/00028.png\nSaved ./outputs/00029.png\nSaved ./outputs/00030.png\nSaved ./outputs/00031.png\nSaved ./outputs/00032.png\nSaved ./outputs/00033.png\nSaved ./outputs/00034.png\nSaved ./outputs/00035.png\nSaved ./outputs/00036.png\nSaved ./outputs/00037.png\nSaved ./outputs/00038.png\nSaved ./outputs/00039.png\nSaved ./outputs/00040.png\nSaved ./outputs/00041.png\nSaved ./outputs/00042.png\nSaved ./outputs/00043.png\nSaved ./outputs/00044.png\nSaved ./outputs/00045.png\nSaved ./outputs/00046.png\nSaved ./outputs/00047.png\ndata_batch torch.Size([24, 77, 768]) start_code_batchtorch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.90it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.14it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00048.png\nSaved ./outputs/00049.png\nSaved ./outputs/00050.png\nSaved ./outputs/00051.png\nSaved ./outputs/00052.png\nSaved ./outputs/00053.png\nSaved ./outputs/00054.png\nSaved ./outputs/00055.png\nSaved ./outputs/00056.png\nSaved ./outputs/00057.png\nSaved ./outputs/00058.png\nSaved ./outputs/00059.png\nSaved ./outputs/00060.png\nSaved ./outputs/00061.png\nSaved ./outputs/00062.png\nSaved ./outputs/00063.png\nSaved ./outputs/00064.png\nSaved ./outputs/00065.png\nSaved ./outputs/00066.png\nSaved ./outputs/00067.png\nSaved ./outputs/00068.png\nSaved ./outputs/00069.png\nSaved ./outputs/00070.png\nSaved ./outputs/00071.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.75it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.12it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00072.png\nSaved ./outputs/00073.png\nSaved ./outputs/00074.png\nSaved ./outputs/00075.png\nSaved ./outputs/00076.png\nSaved ./outputs/00077.png\nSaved ./outputs/00078.png\nSaved ./outputs/00079.png\nSaved ./outputs/00080.png\nSaved ./outputs/00081.png\nSaved ./outputs/00082.png\nSaved ./outputs/00083.png\nSaved ./outputs/00084.png\nSaved ./outputs/00085.png\nSaved ./outputs/00086.png\nSaved ./outputs/00087.png\nSaved ./outputs/00088.png\nSaved ./outputs/00089.png\nSaved ./outputs/00090.png\nSaved ./outputs/00091.png\nSaved ./outputs/00092.png\nSaved ./outputs/00093.png\nSaved ./outputs/00094.png\nSaved ./outputs/00095.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.88it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.12it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00096.png\nSaved ./outputs/00097.png\nSaved ./outputs/00098.png\nSaved ./outputs/00099.png\nSaved ./outputs/00100.png\nSaved ./outputs/00101.png\nSaved ./outputs/00102.png\nSaved ./outputs/00103.png\nSaved ./outputs/00104.png\nSaved ./outputs/00105.png\nSaved ./outputs/00106.png\nSaved ./outputs/00107.png\nSaved ./outputs/00108.png\nSaved ./outputs/00109.png\nSaved ./outputs/00110.png\nSaved ./outputs/00111.png\nSaved ./outputs/00112.png\nSaved ./outputs/00113.png\nSaved ./outputs/00114.png\nSaved ./outputs/00115.png\nSaved ./outputs/00116.png\nSaved ./outputs/00117.png\nSaved ./outputs/00118.png\nSaved ./outputs/00119.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.83it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.13it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00120.png\nSaved ./outputs/00121.png\nSaved ./outputs/00122.png\nSaved ./outputs/00123.png\nSaved ./outputs/00124.png\nSaved ./outputs/00125.png\nSaved ./outputs/00126.png\nSaved ./outputs/00127.png\nSaved ./outputs/00128.png\nSaved ./outputs/00129.png\nSaved ./outputs/00130.png\nSaved ./outputs/00131.png\nSaved ./outputs/00132.png\nSaved ./outputs/00133.png\nSaved ./outputs/00134.png\nSaved ./outputs/00135.png\nSaved ./outputs/00136.png\nSaved ./outputs/00137.png\nSaved ./outputs/00138.png\nSaved ./outputs/00139.png\nSaved ./outputs/00140.png\nSaved ./outputs/00141.png\nSaved ./outputs/00142.png\nSaved ./outputs/00143.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.68it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.11it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00144.png\nSaved ./outputs/00145.png\nSaved ./outputs/00146.png\nSaved ./outputs/00147.png\nSaved ./outputs/00148.png\nSaved ./outputs/00149.png\nSaved ./outputs/00150.png\nSaved ./outputs/00151.png\nSaved ./outputs/00152.png\nSaved ./outputs/00153.png\nSaved ./outputs/00154.png\nSaved ./outputs/00155.png\nSaved ./outputs/00156.png\nSaved ./outputs/00157.png\nSaved ./outputs/00158.png\nSaved ./outputs/00159.png\nSaved ./outputs/00160.png\nSaved ./outputs/00161.png\nSaved ./outputs/00162.png\nSaved ./outputs/00163.png\nSaved ./outputs/00164.png\nSaved ./outputs/00165.png\nSaved ./outputs/00166.png\nSaved ./outputs/00167.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.94it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.14it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.87it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00168.png\nSaved ./outputs/00169.png\nSaved ./outputs/00170.png\nSaved ./outputs/00171.png\nSaved ./outputs/00172.png\nSaved ./outputs/00173.png\nSaved ./outputs/00174.png\nSaved ./outputs/00175.png\nSaved ./outputs/00176.png\nSaved ./outputs/00177.png\nSaved ./outputs/00178.png\nSaved ./outputs/00179.png\nSaved ./outputs/00180.png\nSaved ./outputs/00181.png\nSaved ./outputs/00182.png\nSaved ./outputs/00183.png\nSaved ./outputs/00184.png\nSaved ./outputs/00185.png\nSaved ./outputs/00186.png\nSaved ./outputs/00187.png\nSaved ./outputs/00188.png\nSaved ./outputs/00189.png\nSaved ./outputs/00190.png\nSaved ./outputs/00191.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.71it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.11it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00192.png\nSaved ./outputs/00193.png\nSaved ./outputs/00194.png\nSaved ./outputs/00195.png\nSaved ./outputs/00196.png\nSaved ./outputs/00197.png\nSaved ./outputs/00198.png\nSaved ./outputs/00199.png\nSaved ./outputs/00200.png\nSaved ./outputs/00201.png\nSaved ./outputs/00202.png\nSaved ./outputs/00203.png\nSaved ./outputs/00204.png\nSaved ./outputs/00205.png\nSaved ./outputs/00206.png\nSaved ./outputs/00207.png\nSaved ./outputs/00208.png\nSaved ./outputs/00209.png\nSaved ./outputs/00210.png\nSaved ./outputs/00211.png\nSaved ./outputs/00212.png\nSaved ./outputs/00213.png\nSaved ./outputs/00214.png\nSaved ./outputs/00215.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.81it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.12it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00216.png\nSaved ./outputs/00217.png\nSaved ./outputs/00218.png\nSaved ./outputs/00219.png\nSaved ./outputs/00220.png\nSaved ./outputs/00221.png\nSaved ./outputs/00222.png\nSaved ./outputs/00223.png\nSaved ./outputs/00224.png\nSaved ./outputs/00225.png\nSaved ./outputs/00226.png\nSaved ./outputs/00227.png\nSaved ./outputs/00228.png\nSaved ./outputs/00229.png\nSaved ./outputs/00230.png\nSaved ./outputs/00231.png\nSaved ./outputs/00232.png\nSaved ./outputs/00233.png\nSaved ./outputs/00234.png\nSaved ./outputs/00235.png\nSaved ./outputs/00236.png\nSaved ./outputs/00237.png\nSaved ./outputs/00238.png\nSaved ./outputs/00239.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.93it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.14it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.87it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00240.png\nSaved ./outputs/00241.png\nSaved ./outputs/00242.png\nSaved ./outputs/00243.png\nSaved ./outputs/00244.png\nSaved ./outputs/00245.png\nSaved ./outputs/00246.png\nSaved ./outputs/00247.png\nSaved ./outputs/00248.png\nSaved ./outputs/00249.png\nSaved ./outputs/00250.png\nSaved ./outputs/00251.png\nSaved ./outputs/00252.png\nSaved ./outputs/00253.png\nSaved ./outputs/00254.png\nSaved ./outputs/00255.png\nSaved ./outputs/00256.png\nSaved ./outputs/00257.png\nSaved ./outputs/00258.png\nSaved ./outputs/00259.png\nSaved ./outputs/00260.png\nSaved ./outputs/00261.png\nSaved ./outputs/00262.png\nSaved ./outputs/00263.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.69it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.65it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.71it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00264.png\nSaved ./outputs/00265.png\nSaved ./outputs/00266.png\nSaved ./outputs/00267.png\nSaved ./outputs/00268.png\nSaved ./outputs/00269.png\nSaved ./outputs/00270.png\nSaved ./outputs/00271.png\nSaved ./outputs/00272.png\nSaved ./outputs/00273.png\nSaved ./outputs/00274.png\nSaved ./outputs/00275.png\nSaved ./outputs/00276.png\nSaved ./outputs/00277.png\nSaved ./outputs/00278.png\nSaved ./outputs/00279.png\nSaved ./outputs/00280.png\nSaved ./outputs/00281.png\nSaved ./outputs/00282.png\nSaved ./outputs/00283.png\nSaved ./outputs/00284.png\nSaved ./outputs/00285.png\nSaved ./outputs/00286.png\nSaved ./outputs/00287.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.65it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.65it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.71it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00288.png\nSaved ./outputs/00289.png\nSaved ./outputs/00290.png\nSaved ./outputs/00291.png\nSaved ./outputs/00292.png\nSaved ./outputs/00293.png\nSaved ./outputs/00294.png\nSaved ./outputs/00295.png\nSaved ./outputs/00296.png\nSaved ./outputs/00297.png\nSaved ./outputs/00298.png\nSaved ./outputs/00299.png\nSaved ./outputs/00300.png\nSaved ./outputs/00301.png\nSaved ./outputs/00302.png\nSaved ./outputs/00303.png\nSaved ./outputs/00304.png\nSaved ./outputs/00305.png\nSaved ./outputs/00306.png\nSaved ./outputs/00307.png\nSaved ./outputs/00308.png\nSaved ./outputs/00309.png\nSaved ./outputs/00310.png\nSaved ./outputs/00311.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.63it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.65it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.71it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00312.png\nSaved ./outputs/00313.png\nSaved ./outputs/00314.png\nSaved ./outputs/00315.png\nSaved ./outputs/00316.png\nSaved ./outputs/00317.png\nSaved ./outputs/00318.png\nSaved ./outputs/00319.png\nSaved ./outputs/00320.png\nSaved ./outputs/00321.png\nSaved ./outputs/00322.png\nSaved ./outputs/00323.png\nSaved ./outputs/00324.png\nSaved ./outputs/00325.png\nSaved ./outputs/00326.png\nSaved ./outputs/00327.png\nSaved ./outputs/00328.png\nSaved ./outputs/00329.png\nSaved ./outputs/00330.png\nSaved ./outputs/00331.png\nSaved ./outputs/00332.png\nSaved ./outputs/00333.png\nSaved ./outputs/00334.png\nSaved ./outputs/00335.png\ndata_batch torch.Size([24, 77, 768]) start_code_batchtorch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.77it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.12it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00336.png\nSaved ./outputs/00337.png\nSaved ./outputs/00338.png\nSaved ./outputs/00339.png\nSaved ./outputs/00340.png\nSaved ./outputs/00341.png\nSaved ./outputs/00342.png\nSaved ./outputs/00343.png\nSaved ./outputs/00344.png\nSaved ./outputs/00345.png\nSaved ./outputs/00346.png\nSaved ./outputs/00347.png\nSaved ./outputs/00348.png\nSaved ./outputs/00349.png\nSaved ./outputs/00350.png\nSaved ./outputs/00351.png\nSaved ./outputs/00352.png\nSaved ./outputs/00353.png\nSaved ./outputs/00354.png\nSaved ./outputs/00355.png\nSaved ./outputs/00356.png\nSaved ./outputs/00357.png\nSaved ./outputs/00358.png\nSaved ./outputs/00359.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.95it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.14it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.87it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00360.png\nSaved ./outputs/00361.png\nSaved ./outputs/00362.png\nSaved ./outputs/00363.png\nSaved ./outputs/00364.png\nSaved ./outputs/00365.png\nSaved ./outputs/00366.png\nSaved ./outputs/00367.png\nSaved ./outputs/00368.png\nSaved ./outputs/00369.png\nSaved ./outputs/00370.png\nSaved ./outputs/00371.png\nSaved ./outputs/00372.png\nSaved ./outputs/00373.png\nSaved ./outputs/00374.png\nSaved ./outputs/00375.png\nSaved ./outputs/00376.png\nSaved ./outputs/00377.png\nSaved ./outputs/00378.png\nSaved ./outputs/00379.png\nSaved ./outputs/00380.png\nSaved ./outputs/00381.png\nSaved ./outputs/00382.png\nSaved ./outputs/00383.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.80it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.12it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00384.png\nSaved ./outputs/00385.png\nSaved ./outputs/00386.png\nSaved ./outputs/00387.png\nSaved ./outputs/00388.png\nSaved ./outputs/00389.png\nSaved ./outputs/00390.png\nSaved ./outputs/00391.png\nSaved ./outputs/00392.png\nSaved ./outputs/00393.png\nSaved ./outputs/00394.png\nSaved ./outputs/00395.png\nSaved ./outputs/00396.png\nSaved ./outputs/00397.png\nSaved ./outputs/00398.png\nSaved ./outputs/00399.png\nSaved ./outputs/00400.png\nSaved ./outputs/00401.png\nSaved ./outputs/00402.png\nSaved ./outputs/00403.png\nSaved ./outputs/00404.png\nSaved ./outputs/00405.png\nSaved ./outputs/00406.png\nSaved ./outputs/00407.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.70it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.11it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00408.png\nSaved ./outputs/00409.png\nSaved ./outputs/00410.png\nSaved ./outputs/00411.png\nSaved ./outputs/00412.png\nSaved ./outputs/00413.png\nSaved ./outputs/00414.png\nSaved ./outputs/00415.png\nSaved ./outputs/00416.png\nSaved ./outputs/00417.png\nSaved ./outputs/00418.png\nSaved ./outputs/00419.png\nSaved ./outputs/00420.png\nSaved ./outputs/00421.png\nSaved ./outputs/00422.png\nSaved ./outputs/00423.png\nSaved ./outputs/00424.png\nSaved ./outputs/00425.png\nSaved ./outputs/00426.png\nSaved ./outputs/00427.png\nSaved ./outputs/00428.png\nSaved ./outputs/00429.png\nSaved ./outputs/00430.png\nSaved ./outputs/00431.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.66it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.65it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.71it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00432.png\nSaved ./outputs/00433.png\nSaved ./outputs/00434.png\nSaved ./outputs/00435.png\nSaved ./outputs/00436.png\nSaved ./outputs/00437.png\nSaved ./outputs/00438.png\nSaved ./outputs/00439.png\nSaved ./outputs/00440.png\nSaved ./outputs/00441.png\nSaved ./outputs/00442.png\nSaved ./outputs/00443.png\nSaved ./outputs/00444.png\nSaved ./outputs/00445.png\nSaved ./outputs/00446.png\nSaved ./outputs/00447.png\nSaved ./outputs/00448.png\nSaved ./outputs/00449.png\nSaved ./outputs/00450.png\nSaved ./outputs/00451.png\nSaved ./outputs/00452.png\nSaved ./outputs/00453.png\nSaved ./outputs/00454.png\nSaved ./outputs/00455.png\ndata_batch torch.Size([24, 77, 768])start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.74it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.11it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00456.png\nSaved ./outputs/00457.png\nSaved ./outputs/00458.png\nSaved ./outputs/00459.png\nSaved ./outputs/00460.png\nSaved ./outputs/00461.png\nSaved ./outputs/00462.png\nSaved ./outputs/00463.png\nSaved ./outputs/00464.png\nSaved ./outputs/00465.png\nSaved ./outputs/00466.png\nSaved ./outputs/00467.png\nSaved ./outputs/00468.png\nSaved ./outputs/00469.png\nSaved ./outputs/00470.png\nSaved ./outputs/00471.png\nSaved ./outputs/00472.png\nSaved ./outputs/00473.png\nSaved ./outputs/00474.png\nSaved ./outputs/00475.png\nSaved ./outputs/00476.png\nSaved ./outputs/00477.png\nSaved ./outputs/00478.png\nSaved ./outputs/00479.png\ndata_batch torch.Size([24, 77, 768]) start_code_batchtorch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.74it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.13it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00480.png\nSaved ./outputs/00481.png\nSaved ./outputs/00482.png\nSaved ./outputs/00483.png\nSaved ./outputs/00484.png\nSaved ./outputs/00485.png\nSaved ./outputs/00486.png\nSaved ./outputs/00487.png\nSaved ./outputs/00488.png\nSaved ./outputs/00489.png\nSaved ./outputs/00490.png\nSaved ./outputs/00491.png\nSaved ./outputs/00492.png\nSaved ./outputs/00493.png\nSaved ./outputs/00494.png\nSaved ./outputs/00495.png\nSaved ./outputs/00496.png\nSaved ./outputs/00497.png\nSaved ./outputs/00498.png\nSaved ./outputs/00499.png\nSaved ./outputs/00500.png\nSaved ./outputs/00501.png\nSaved ./outputs/00502.png\nSaved ./outputs/00503.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.63it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.65it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.71it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00504.png\nSaved ./outputs/00505.png\nSaved ./outputs/00506.png\nSaved ./outputs/00507.png\nSaved ./outputs/00508.png\nSaved ./outputs/00509.png\nSaved ./outputs/00510.png\nSaved ./outputs/00511.png\nSaved ./outputs/00512.png\nSaved ./outputs/00513.png\nSaved ./outputs/00514.png\nSaved ./outputs/00515.png\nSaved ./outputs/00516.png\nSaved ./outputs/00517.png\nSaved ./outputs/00518.png\nSaved ./outputs/00519.png\nSaved ./outputs/00520.png\nSaved ./outputs/00521.png\nSaved ./outputs/00522.png\nSaved ./outputs/00523.png\nSaved ./outputs/00524.png\nSaved ./outputs/00525.png\nSaved ./outputs/00526.png\nSaved ./outputs/00527.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.90it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.14it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00528.png\nSaved ./outputs/00529.png\nSaved ./outputs/00530.png\nSaved ./outputs/00531.png\nSaved ./outputs/00532.png\nSaved ./outputs/00533.png\nSaved ./outputs/00534.png\nSaved ./outputs/00535.png\nSaved ./outputs/00536.png\nSaved ./outputs/00537.png\nSaved ./outputs/00538.png\nSaved ./outputs/00539.png\nSaved ./outputs/00540.png\nSaved ./outputs/00541.png\nSaved ./outputs/00542.png\nSaved ./outputs/00543.png\nSaved ./outputs/00544.png\nSaved ./outputs/00545.png\nSaved ./outputs/00546.png\nSaved ./outputs/00547.png\nSaved ./outputs/00548.png\nSaved ./outputs/00549.png\nSaved ./outputs/00550.png\nSaved ./outputs/00551.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.79it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.12it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00552.png\nSaved ./outputs/00553.png\nSaved ./outputs/00554.png\nSaved ./outputs/00555.png\nSaved ./outputs/00556.png\nSaved ./outputs/00557.png\nSaved ./outputs/00558.png\nSaved ./outputs/00559.png\nSaved ./outputs/00560.png\nSaved ./outputs/00561.png\nSaved ./outputs/00562.png\nSaved ./outputs/00563.png\nSaved ./outputs/00564.png\nSaved ./outputs/00565.png\nSaved ./outputs/00566.png\nSaved ./outputs/00567.png\nSaved ./outputs/00568.png\nSaved ./outputs/00569.png\nSaved ./outputs/00570.png\nSaved ./outputs/00571.png\nSaved ./outputs/00572.png\nSaved ./outputs/00573.png\nSaved ./outputs/00574.png\nSaved ./outputs/00575.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.82it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.13it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00576.png\nSaved ./outputs/00577.png\nSaved ./outputs/00578.png\nSaved ./outputs/00579.png\nSaved ./outputs/00580.png\nSaved ./outputs/00581.png\nSaved ./outputs/00582.png\nSaved ./outputs/00583.png\nSaved ./outputs/00584.png\nSaved ./outputs/00585.png\nSaved ./outputs/00586.png\nSaved ./outputs/00587.png\nSaved ./outputs/00588.png\nSaved ./outputs/00589.png\nSaved ./outputs/00590.png\nSaved ./outputs/00591.png\nSaved ./outputs/00592.png\nSaved ./outputs/00593.png\nSaved ./outputs/00594.png\nSaved ./outputs/00595.png\nSaved ./outputs/00596.png\nSaved ./outputs/00597.png\nSaved ./outputs/00598.png\nSaved ./outputs/00599.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.94it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.14it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.87it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.65it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00600.png\nSaved ./outputs/00601.png\nSaved ./outputs/00602.png\nSaved ./outputs/00603.png\nSaved ./outputs/00604.png\nSaved ./outputs/00605.png\nSaved ./outputs/00606.png\nSaved ./outputs/00607.png\nSaved ./outputs/00608.png\nSaved ./outputs/00609.png\nSaved ./outputs/00610.png\nSaved ./outputs/00611.png\nSaved ./outputs/00612.png\nSaved ./outputs/00613.png\nSaved ./outputs/00614.png\nSaved ./outputs/00615.png\nSaved ./outputs/00616.png\nSaved ./outputs/00617.png\nSaved ./outputs/00618.png\nSaved ./outputs/00619.png\nSaved ./outputs/00620.png\nSaved ./outputs/00621.png\nSaved ./outputs/00622.png\nSaved ./outputs/00623.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.65it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00624.png\nSaved ./outputs/00625.png\nSaved ./outputs/00626.png\nSaved ./outputs/00627.png\nSaved ./outputs/00628.png\nSaved ./outputs/00629.png\nSaved ./outputs/00630.png\nSaved ./outputs/00631.png\nSaved ./outputs/00632.png\nSaved ./outputs/00633.png\nSaved ./outputs/00634.png\nSaved ./outputs/00635.png\nSaved ./outputs/00636.png\nSaved ./outputs/00637.png\nSaved ./outputs/00638.png\nSaved ./outputs/00639.png\nSaved ./outputs/00640.png\nSaved ./outputs/00641.png\nSaved ./outputs/00642.png\nSaved ./outputs/00643.png\nSaved ./outputs/00644.png\nSaved ./outputs/00645.png\nSaved ./outputs/00646.png\nSaved ./outputs/00647.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.83it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.13it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00648.png\nSaved ./outputs/00649.png\nSaved ./outputs/00650.png\nSaved ./outputs/00651.png\nSaved ./outputs/00652.png\nSaved ./outputs/00653.png\nSaved ./outputs/00654.png\nSaved ./outputs/00655.png\nSaved ./outputs/00656.png\nSaved ./outputs/00657.png\nSaved ./outputs/00658.png\nSaved ./outputs/00659.png\nSaved ./outputs/00660.png\nSaved ./outputs/00661.png\nSaved ./outputs/00662.png\nSaved ./outputs/00663.png\nSaved ./outputs/00664.png\nSaved ./outputs/00665.png\nSaved ./outputs/00666.png\nSaved ./outputs/00667.png\nSaved ./outputs/00668.png\nSaved ./outputs/00669.png\nSaved ./outputs/00670.png\nSaved ./outputs/00671.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.86it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.11it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00672.png\nSaved ./outputs/00673.png\nSaved ./outputs/00674.png\nSaved ./outputs/00675.png\nSaved ./outputs/00676.png\nSaved ./outputs/00677.png\nSaved ./outputs/00678.png\nSaved ./outputs/00679.png\nSaved ./outputs/00680.png\nSaved ./outputs/00681.png\nSaved ./outputs/00682.png\nSaved ./outputs/00683.png\nSaved ./outputs/00684.png\nSaved ./outputs/00685.png\nSaved ./outputs/00686.png\nSaved ./outputs/00687.png\nSaved ./outputs/00688.png\nSaved ./outputs/00689.png\nSaved ./outputs/00690.png\nSaved ./outputs/00691.png\nSaved ./outputs/00692.png\nSaved ./outputs/00693.png\nSaved ./outputs/00694.png\nSaved ./outputs/00695.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.78it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.12it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00696.png\nSaved ./outputs/00697.png\nSaved ./outputs/00698.png\nSaved ./outputs/00699.png\nSaved ./outputs/00700.png\nSaved ./outputs/00701.png\nSaved ./outputs/00702.png\nSaved ./outputs/00703.png\nSaved ./outputs/00704.png\nSaved ./outputs/00705.png\nSaved ./outputs/00706.png\nSaved ./outputs/00707.png\nSaved ./outputs/00708.png\nSaved ./outputs/00709.png\nSaved ./outputs/00710.png\nSaved ./outputs/00711.png\nSaved ./outputs/00712.png\nSaved ./outputs/00713.png\nSaved ./outputs/00714.png\nSaved ./outputs/00715.png\nSaved ./outputs/00716.png\nSaved ./outputs/00717.png\nSaved ./outputs/00718.png\nSaved ./outputs/00719.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.68it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.11it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.65it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00720.png\nSaved ./outputs/00721.png\nSaved ./outputs/00722.png\nSaved ./outputs/00723.png\nSaved ./outputs/00724.png\nSaved ./outputs/00725.png\nSaved ./outputs/00726.png\nSaved ./outputs/00727.png\nSaved ./outputs/00728.png\nSaved ./outputs/00729.png\nSaved ./outputs/00730.png\nSaved ./outputs/00731.png\nSaved ./outputs/00732.png\nSaved ./outputs/00733.png\nSaved ./outputs/00734.png\nSaved ./outputs/00735.png\nSaved ./outputs/00736.png\nSaved ./outputs/00737.png\nSaved ./outputs/00738.png\nSaved ./outputs/00739.png\nSaved ./outputs/00740.png\nSaved ./outputs/00741.png\nSaved ./outputs/00742.png\nSaved ./outputs/00743.png\ndata_batch torch.Size([24, 77, 768]) start_code_batchtorch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.75it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.12it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00744.png\nSaved ./outputs/00745.png\nSaved ./outputs/00746.png\nSaved ./outputs/00747.png\nSaved ./outputs/00748.png\nSaved ./outputs/00749.png\nSaved ./outputs/00750.png\nSaved ./outputs/00751.png\nSaved ./outputs/00752.png\nSaved ./outputs/00753.png\nSaved ./outputs/00754.png\nSaved ./outputs/00755.png\nSaved ./outputs/00756.png\nSaved ./outputs/00757.png\nSaved ./outputs/00758.png\nSaved ./outputs/00759.png\nSaved ./outputs/00760.png\nSaved ./outputs/00761.png\nSaved ./outputs/00762.png\nSaved ./outputs/00763.png\nSaved ./outputs/00764.png\nSaved ./outputs/00765.png\nSaved ./outputs/00766.png\nSaved ./outputs/00767.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.90it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.13it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00768.png\nSaved ./outputs/00769.png\nSaved ./outputs/00770.png\nSaved ./outputs/00771.png\nSaved ./outputs/00772.png\nSaved ./outputs/00773.png\nSaved ./outputs/00774.png\nSaved ./outputs/00775.png\nSaved ./outputs/00776.png\nSaved ./outputs/00777.png\nSaved ./outputs/00778.png\nSaved ./outputs/00779.png\nSaved ./outputs/00780.png\nSaved ./outputs/00781.png\nSaved ./outputs/00782.png\nSaved ./outputs/00783.png\nSaved ./outputs/00784.png\nSaved ./outputs/00785.png\nSaved ./outputs/00786.png\nSaved ./outputs/00787.png\nSaved ./outputs/00788.png\nSaved ./outputs/00789.png\nSaved ./outputs/00790.png\nSaved ./outputs/00791.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.67it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00792.png\nSaved ./outputs/00793.png\nSaved ./outputs/00794.png\nSaved ./outputs/00795.png\nSaved ./outputs/00796.png\nSaved ./outputs/00797.png\nSaved ./outputs/00798.png\nSaved ./outputs/00799.png\nSaved ./outputs/00800.png\nSaved ./outputs/00801.png\nSaved ./outputs/00802.png\nSaved ./outputs/00803.png\nSaved ./outputs/00804.png\nSaved ./outputs/00805.png\nSaved ./outputs/00806.png\nSaved ./outputs/00807.png\nSaved ./outputs/00808.png\nSaved ./outputs/00809.png\nSaved ./outputs/00810.png\nSaved ./outputs/00811.png\nSaved ./outputs/00812.png\nSaved ./outputs/00813.png\nSaved ./outputs/00814.png\nSaved ./outputs/00815.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.89it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.14it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.68it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00816.png\nSaved ./outputs/00817.png\nSaved ./outputs/00818.png\nSaved ./outputs/00819.png\nSaved ./outputs/00820.png\nSaved ./outputs/00821.png\nSaved ./outputs/00822.png\nSaved ./outputs/00823.png\nSaved ./outputs/00824.png\nSaved ./outputs/00825.png\nSaved ./outputs/00826.png\nSaved ./outputs/00827.png\nSaved ./outputs/00828.png\nSaved ./outputs/00829.png\nSaved ./outputs/00830.png\nSaved ./outputs/00831.png\nSaved ./outputs/00832.png\nSaved ./outputs/00833.png\nSaved ./outputs/00834.png\nSaved ./outputs/00835.png\nSaved ./outputs/00836.png\nSaved ./outputs/00837.png\nSaved ./outputs/00838.png\nSaved ./outputs/00839.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.67it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00840.png\nSaved ./outputs/00841.png\nSaved ./outputs/00842.png\nSaved ./outputs/00843.png\nSaved ./outputs/00844.png\nSaved ./outputs/00845.png\nSaved ./outputs/00846.png\nSaved ./outputs/00847.png\nSaved ./outputs/00848.png\nSaved ./outputs/00849.png\nSaved ./outputs/00850.png\nSaved ./outputs/00851.png\nSaved ./outputs/00852.png\nSaved ./outputs/00853.png\nSaved ./outputs/00854.png\nSaved ./outputs/00855.png\nSaved ./outputs/00856.png\nSaved ./outputs/00857.png\nSaved ./outputs/00858.png\nSaved ./outputs/00859.png\nSaved ./outputs/00860.png\nSaved ./outputs/00861.png\nSaved ./outputs/00862.png\nSaved ./outputs/00863.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.85it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.13it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.86it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.76it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.71it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.65it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.72it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00864.png\nSaved ./outputs/00865.png\nSaved ./outputs/00866.png\nSaved ./outputs/00867.png\nSaved ./outputs/00868.png\nSaved ./outputs/00869.png\nSaved ./outputs/00870.png\nSaved ./outputs/00871.png\nSaved ./outputs/00872.png\nSaved ./outputs/00873.png\nSaved ./outputs/00874.png\nSaved ./outputs/00875.png\nSaved ./outputs/00876.png\nSaved ./outputs/00877.png\nSaved ./outputs/00878.png\nSaved ./outputs/00879.png\nSaved ./outputs/00880.png\nSaved ./outputs/00881.png\nSaved ./outputs/00882.png\nSaved ./outputs/00883.png\nSaved ./outputs/00884.png\nSaved ./outputs/00885.png\nSaved ./outputs/00886.png\nSaved ./outputs/00887.png\ndata_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.63it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.10it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.85it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.75it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.70it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.67it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.66it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.64it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.63it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.71it/s]\nsamples_ddim torch.Size([24, 4, 64, 48])\nSaved ./outputs/00888.png\nSaved ./outputs/00889.png\nSaved ./outputs/00890.png\nSaved ./outputs/00891.png\nSaved ./outputs/00892.png\nSaved ./outputs/00893.png\nSaved ./outputs/00894.png\nSaved ./outputs/00895.png\nSaved ./outputs/00896.png\nSaved ./outputs/00897.png\nSaved ./outputs/00898.png\nSaved ./outputs/00899.png\nSaved ./outputs/00900.png\nSaved ./outputs/00901.png\nSaved ./outputs/00902.png\nSaved ./outputs/00903.png\nSaved ./outputs/00904.png\nSaved ./outputs/00905.png\nSaved ./outputs/00906.png\nSaved ./outputs/00907.png\nSaved ./outputs/00908.png\nSaved ./outputs/00909.png\nSaved ./outputs/00910.png\nSaved ./outputs/00911.png\ndata_batch torch.Size([23, 77, 768]) start_code_batchtorch.Size([23, 4, 64, 48])\nsigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250,\n0.3687, 0.0312, 0.0000], device='cuda:0')\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 3.91it/s]\n 20%|██ | 2/10 [00:00<00:03, 2.20it/s]\n 30%|███ | 3/10 [00:01<00:03, 1.93it/s]\n 40%|████ | 4/10 [00:02<00:03, 1.82it/s]\n 50%|█████ | 5/10 [00:02<00:02, 1.77it/s]\n 60%|██████ | 6/10 [00:03<00:02, 1.74it/s]\n 70%|███████ | 7/10 [00:03<00:01, 1.72it/s]\n 80%|████████ | 8/10 [00:04<00:01, 1.71it/s]\n 90%|█████████ | 9/10 [00:05<00:00, 1.70it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.69it/s]\n100%|██████████| 10/10 [00:05<00:00, 1.78it/s]\nsamples_ddim torch.Size([23, 4, 64, 48])\nSaved ./outputs/00912.png\nSaved ./outputs/00913.png\nSaved ./outputs/00914.png\nSaved ./outputs/00915.png\nSaved ./outputs/00916.png\nSaved ./outputs/00917.png\nSaved ./outputs/00918.png\nSaved ./outputs/00919.png\nSaved ./outputs/00920.png\nSaved ./outputs/00921.png\nSaved ./outputs/00922.png\nSaved ./outputs/00923.png\nSaved ./outputs/00924.png\nSaved ./outputs/00925.png\nSaved ./outputs/00926.png\nSaved ./outputs/00927.png\nSaved ./outputs/00928.png\nSaved ./outputs/00929.png\nSaved ./outputs/00930.png\nSaved ./outputs/00931.png\nSaved ./outputs/00932.png\nSaved ./outputs/00933.png\nSaved ./outputs/00934.png\nYour samples have been saved to:\n./outputs\nEnjoy.\ntotal 179076\n-rw-r--r-- 1 root root 185088 Jan 12 16:57 00000.png\n-rw-r--r-- 1 root root 186828 Jan 12 16:57 00001.png\n-rw-r--r-- 1 root root 186326 Jan 12 16:57 00002.png\n-rw-r--r-- 1 root root 183243 Jan 12 16:57 00003.png\n-rw-r--r-- 1 root root 183141 Jan 12 16:57 00004.png\n-rw-r--r-- 1 root root 180218 Jan 12 16:57 00005.png\n-rw-r--r-- 1 root root 182244 Jan 12 16:57 00006.png\n-rw-r--r-- 1 root root 182754 Jan 12 16:57 00007.png\n-rw-r--r-- 1 root root 185773 Jan 12 16:57 00008.png\n-rw-r--r-- 1 root root 185271 Jan 12 16:57 00009.png\n-rw-r--r-- 1 root root 185376 Jan 12 16:57 00010.png\n-rw-r--r-- 1 root root 184640 Jan 12 16:57 00011.png\n-rw-r--r-- 1 root root 185506 Jan 12 16:57 00012.png\n-rw-r--r-- 1 root root 208303 Jan 12 16:57 00013.png\n-rw-r--r-- 1 root root 201698 Jan 12 16:57 00014.png\n-rw-r--r-- 1 root root 210046 Jan 12 16:57 00015.png\n-rw-r--r-- 1 root root 210337 Jan 12 16:57 00016.png\n-rw-r--r-- 1 root root 203029 Jan 12 16:57 00017.png\n-rw-r--r-- 1 root root 196041 Jan 12 16:57 00018.png\n-rw-r--r-- 1 root root 192675 Jan 12 16:57 00019.png\n-rw-r--r-- 1 root root 203915 Jan 12 16:57 00020.png\n-rw-r--r-- 1 root root 199739 Jan 12 16:57 00021.png\n-rw-r--r-- 1 root root 199145 Jan 12 16:57 00022.png\n-rw-r--r-- 1 root root 201992 Jan 12 16:57 00023.png\n-rw-r--r-- 1 root root 207943 Jan 12 16:57 00024.png\n-rw-r--r-- 1 root root 198736 Jan 12 16:57 00025.png\n-rw-r--r-- 1 root root 191197 Jan 12 16:57 00026.png\n-rw-r--r-- 1 root root 191706 Jan 12 16:57 00027.png\n-rw-r--r-- 1 root root 205870 Jan 12 16:57 00028.png\n-rw-r--r-- 1 root root 200403 Jan 12 16:57 00029.png\n-rw-r--r-- 1 root root 202548 Jan 12 16:57 00030.png\n-rw-r--r-- 1 root root 203743 Jan 12 16:57 00031.png\n-rw-r--r-- 1 root root 203656 Jan 12 16:57 00032.png\n-rw-r--r-- 1 root root 192977 Jan 12 16:57 00033.png\n-rw-r--r-- 1 root root 190692 Jan 12 16:57 00034.png\n-rw-r--r-- 1 root root 204403 Jan 12 16:57 00035.png\n-rw-r--r-- 1 root root 198681 Jan 12 16:57 00036.png\n-rw-r--r-- 1 root root 198996 Jan 12 16:57 00037.png\n-rw-r--r-- 1 root root 204755 Jan 12 16:57 00038.png\n-rw-r--r-- 1 root root 203634 Jan 12 16:57 00039.png\n-rw-r--r-- 1 root root 195945 Jan 12 16:57 00040.png\n-rw-r--r-- 1 root root 192114 Jan 12 16:57 00041.png\n-rw-r--r-- 1 root root 191690 Jan 12 16:57 00042.png\n-rw-r--r-- 1 root root 200769 Jan 12 16:57 00043.png\n-rw-r--r-- 1 root root 200551 Jan 12 16:57 00044.png\n-rw-r--r-- 1 root root 204716 Jan 12 16:57 00045.png\n-rw-r--r-- 1 root root 203320 Jan 12 16:57 00046.png\n-rw-r--r-- 1 root root 195471 Jan 12 16:57 00047.png\n-rw-r--r-- 1 root root 187913 Jan 12 16:57 00048.png\n-rw-r--r-- 1 root root 186085 Jan 12 16:57 00049.png\n-rw-r--r-- 1 root root 196865 Jan 12 16:57 00050.png\n-rw-r--r-- 1 root root 201177 Jan 12 16:57 00051.png\n-rw-r--r-- 1 root root 200247 Jan 12 16:57 00052.png\n-rw-r--r-- 1 root root 203553 Jan 12 16:57 00053.png\n-rw-r--r-- 1 root root 201446 Jan 12 16:57 00054.png\n-rw-r--r-- 1 root root 189330 Jan 12 16:57 00055.png\n-rw-r--r-- 1 root root 185805 Jan 12 16:57 00056.png\n-rw-r--r-- 1 root root 186199 Jan 12 16:57 00057.png\n-rw-r--r-- 1 root root 201489 Jan 12 16:57 00058.png\n-rw-r--r-- 1 root root 200041 Jan 12 16:57 00059.png\n-rw-r--r-- 1 root root 199924 Jan 12 16:57 00060.png\n-rw-r--r-- 1 root root 195990 Jan 12 16:57 00061.png\n-rw-r--r-- 1 root root 191327 Jan 12 16:57 00062.png\n-rw-r--r-- 1 root root 185472 Jan 12 16:57 00063.png\n-rw-r--r-- 1 root root 181648 Jan 12 16:57 00064.png\n-rw-r--r-- 1 root root 190352 Jan 12 16:57 00065.png\n-rw-r--r-- 1 root root 202099 Jan 12 16:57 00066.png\n-rw-r--r-- 1 root root 202031 Jan 12 16:57 00067.png\n-rw-r--r-- 1 root root 195160 Jan 12 16:57 00068.png\n-rw-r--r-- 1 root root 188203 Jan 12 16:57 00069.png\n-rw-r--r-- 1 root root 188978 Jan 12 16:57 00070.png\n-rw-r--r-- 1 root root 182502 Jan 12 16:57 00071.png\n-rw-r--r-- 1 root root 183380 Jan 12 16:57 00072.png\n-rw-r--r-- 1 root root 193179 Jan 12 16:57 00073.png\n-rw-r--r-- 1 root root 203110 Jan 12 16:57 00074.png\n-rw-r--r-- 1 root root 196041 Jan 12 16:57 00075.png\n-rw-r--r-- 1 root root 188397 Jan 12 16:57 00076.png\n-rw-r--r-- 1 root root 188751 Jan 12 16:57 00077.png\n-rw-r--r-- 1 root root 183699 Jan 12 16:57 00078.png\n-rw-r--r-- 1 root root 180260 Jan 12 16:57 00079.png\n-rw-r--r-- 1 root root 187873 Jan 12 16:57 00080.png\n-rw-r--r-- 1 root root 205272 Jan 12 16:57 00081.png\n-rw-r--r-- 1 root root 200445 Jan 12 16:57 00082.png\n-rw-r--r-- 1 root root 190726 Jan 12 16:57 00083.png\n-rw-r--r-- 1 root root 183516 Jan 12 16:57 00084.png\n-rw-r--r-- 1 root root 185460 Jan 12 16:57 00085.png\n-rw-r--r-- 1 root root 183474 Jan 12 16:57 00086.png\n-rw-r--r-- 1 root root 182837 Jan 12 16:57 00087.png\n-rw-r--r-- 1 root root 195915 Jan 12 16:57 00088.png\n-rw-r--r-- 1 root root 204703 Jan 12 16:57 00089.png\n-rw-r--r-- 1 root root 195435 Jan 12 16:57 00090.png\n-rw-r--r-- 1 root root 185277 Jan 12 16:57 00091.png\n-rw-r--r-- 1 root root 184542 Jan 12 16:57 00092.png\n-rw-r--r-- 1 root root 178991 Jan 12 16:57 00093.png\n-rw-r--r-- 1 root root 176485 Jan 12 16:57 00094.png\n-rw-r--r-- 1 root root 185722 Jan 12 16:57 00095.png\n-rw-r--r-- 1 root root 202347 Jan 12 16:57 00096.png\n-rw-r--r-- 1 root root 195422 Jan 12 16:57 00097.png\n-rw-r--r-- 1 root root 190961 Jan 12 16:57 00098.png\n-rw-r--r-- 1 root root 183652 Jan 12 16:57 00099.png\n-rw-r--r-- 1 root root 184138 Jan 12 16:57 00100.png\n-rw-r--r-- 1 root root 181302 Jan 12 16:57 00101.png\n-rw-r--r-- 1 root root 181677 Jan 12 16:57 00102.png\n-rw-r--r-- 1 root root 191337 Jan 12 16:57 00103.png\n-rw-r--r-- 1 root root 203416 Jan 12 16:57 00104.png\n-rw-r--r-- 1 root root 190248 Jan 12 16:57 00105.png\n-rw-r--r-- 1 root root 184597 Jan 12 16:57 00106.png\n-rw-r--r-- 1 root root 183814 Jan 12 16:57 00107.png\n-rw-r--r-- 1 root root 179562 Jan 12 16:57 00108.png\n-rw-r--r-- 1 root root 177361 Jan 12 16:57 00109.png\n-rw-r--r-- 1 root root 182182 Jan 12 16:57 00110.png\n-rw-r--r-- 1 root root 198855 Jan 12 16:57 00111.png\n-rw-r--r-- 1 root root 192655 Jan 12 16:57 00112.png\n-rw-r--r-- 1 root root 184710 Jan 12 16:57 00113.png\n-rw-r--r-- 1 root root 181919 Jan 12 16:57 00114.png\n-rw-r--r-- 1 root root 181513 Jan 12 16:57 00115.png\n-rw-r--r-- 1 root root 177504 Jan 12 16:57 00116.png\n-rw-r--r-- 1 root root 177865 Jan 12 16:57 00117.png\n-rw-r--r-- 1 root root 181348 Jan 12 16:57 00118.png\n-rw-r--r-- 1 root root 193509 Jan 12 16:57 00119.png\n-rw-r--r-- 1 root root 182366 Jan 12 16:57 00120.png\n-rw-r--r-- 1 root root 181148 Jan 12 16:57 00121.png\n-rw-r--r-- 1 root root 179772 Jan 12 16:57 00122.png\n-rw-r--r-- 1 root root 177079 Jan 12 16:57 00123.png\n-rw-r--r-- 1 root root 174719 Jan 12 16:57 00124.png\n-rw-r--r-- 1 root root 180105 Jan 12 16:57 00125.png\n-rw-r--r-- 1 root root 198086 Jan 12 16:57 00126.png\n-rw-r--r-- 1 root root 192817 Jan 12 16:57 00127.png\n-rw-r--r-- 1 root root 182503 Jan 12 16:57 00128.png\n-rw-r--r-- 1 root root 180866 Jan 12 16:57 00129.png\n-rw-r--r-- 1 root root 180465 Jan 12 16:57 00130.png\n-rw-r--r-- 1 root root 178076 Jan 12 16:57 00131.png\n-rw-r--r-- 1 root root 176203 Jan 12 16:57 00132.png\n-rw-r--r-- 1 root root 182862 Jan 12 16:57 00133.png\n-rw-r--r-- 1 root root 191518 Jan 12 16:57 00134.png\n-rw-r--r-- 1 root root 181735 Jan 12 16:57 00135.png\n-rw-r--r-- 1 root root 182163 Jan 12 16:57 00136.png\n-rw-r--r-- 1 root root 180561 Jan 12 16:57 00137.png\n-rw-r--r-- 1 root root 177075 Jan 12 16:57 00138.png\n-rw-r--r-- 1 root root 173760 Jan 12 16:57 00139.png\n-rw-r--r-- 1 root root 182514 Jan 12 16:57 00140.png\n-rw-r--r-- 1 root root 192451 Jan 12 16:57 00141.png\n-rw-r--r-- 1 root root 185076 Jan 12 16:57 00142.png\n-rw-r--r-- 1 root root 182180 Jan 12 16:57 00143.png\n-rw-r--r-- 1 root root 184114 Jan 12 16:58 00144.png\n-rw-r--r-- 1 root root 180387 Jan 12 16:58 00145.png\n-rw-r--r-- 1 root root 174963 Jan 12 16:58 00146.png\n-rw-r--r-- 1 root root 175434 Jan 12 16:58 00147.png\n-rw-r--r-- 1 root root 183784 Jan 12 16:58 00148.png\n-rw-r--r-- 1 root root 187622 Jan 12 16:58 00149.png\n-rw-r--r-- 1 root root 182956 Jan 12 16:58 00150.png\n-rw-r--r-- 1 root root 183940 Jan 12 16:58 00151.png\n-rw-r--r-- 1 root root 182866 Jan 12 16:58 00152.png\n-rw-r--r-- 1 root root 179366 Jan 12 16:58 00153.png\n-rw-r--r-- 1 root root 178741 Jan 12 16:58 00154.png\n-rw-r--r-- 1 root root 185051 Jan 12 16:58 00155.png\n-rw-r--r-- 1 root root 190973 Jan 12 16:58 00156.png\n-rw-r--r-- 1 root root 184219 Jan 12 16:58 00157.png\n-rw-r--r-- 1 root root 183424 Jan 12 16:58 00158.png\n-rw-r--r-- 1 root root 185201 Jan 12 16:58 00159.png\n-rw-r--r-- 1 root root 183997 Jan 12 16:58 00160.png\n-rw-r--r-- 1 root root 180954 Jan 12 16:58 00161.png\n-rw-r--r-- 1 root root 181147 Jan 12 16:58 00162.png\n-rw-r--r-- 1 root root 184625 Jan 12 16:58 00163.png\n-rw-r--r-- 1 root root 192061 Jan 12 16:58 00164.png\n-rw-r--r-- 1 root root 183807 Jan 12 16:58 00165.png\n-rw-r--r-- 1 root root 184984 Jan 12 16:58 00166.png\n-rw-r--r-- 1 root root 182949 Jan 12 16:58 00167.png\n-rw-r--r-- 1 root root 180673 Jan 12 16:58 00168.png\n-rw-r--r-- 1 root root 180353 Jan 12 16:58 00169.png\n-rw-r--r-- 1 root root 184112 Jan 12 16:58 00170.png\n-rw-r--r-- 1 root root 188973 Jan 12 16:58 00171.png\n-rw-r--r-- 1 root root 185331 Jan 12 16:58 00172.png\n-rw-r--r-- 1 root root 187067 Jan 12 16:58 00173.png\n-rw-r--r-- 1 root root 187100 Jan 12 16:58 00174.png\n-rw-r--r-- 1 root root 180304 Jan 12 16:58 00175.png\n-rw-r--r-- 1 root root 178041 Jan 12 16:58 00176.png\n-rw-r--r-- 1 root root 179533 Jan 12 16:58 00177.png\n-rw-r--r-- 1 root root 187594 Jan 12 16:58 00178.png\n-rw-r--r-- 1 root root 188904 Jan 12 16:58 00179.png\n-rw-r--r-- 1 root root 188418 Jan 12 16:58 00180.png\n-rw-r--r-- 1 root root 187736 Jan 12 16:58 00181.png\n-rw-r--r-- 1 root root 182457 Jan 12 16:58 00182.png\n-rw-r--r-- 1 root root 181702 Jan 12 16:58 00183.png\n-rw-r--r-- 1 root root 179079 Jan 12 16:58 00184.png\n-rw-r--r-- 1 root root 178213 Jan 12 16:58 00185.png\n-rw-r--r-- 1 root root 177200 Jan 12 16:58 00186.png\n-rw-r--r-- 1 root root 177098 Jan 12 16:58 00187.png\n-rw-r--r-- 1 root root 175265 Jan 12 16:58 00188.png\n-rw-r--r-- 1 root root 176553 Jan 12 16:58 00189.png\n-rw-r--r-- 1 root root 175991 Jan 12 16:58 00190.png\n-rw-r--r-- 1 root root 177555 Jan 12 16:58 00191.png\n-rw-r--r-- 1 root root 173681 Jan 12 16:58 00192.png\n-rw-r--r-- 1 root root 174293 Jan 12 16:58 00193.png\n-rw-r--r-- 1 root root 174209 Jan 12 16:58 00194.png\n-rw-r--r-- 1 root root 170445 Jan 12 16:58 00195.png\n-rw-r--r-- 1 root root 173587 Jan 12 16:58 00196.png\n-rw-r--r-- 1 root root 169621 Jan 12 16:58 00197.png\n-rw-r--r-- 1 root root 171907 Jan 12 16:58 00198.png\n-rw-r--r-- 1 root root 170515 Jan 12 16:58 00199.png\n-rw-r--r-- 1 root root 170957 Jan 12 16:58 00200.png\n-rw-r--r-- 1 root root 170771 Jan 12 16:58 00201.png\n-rw-r--r-- 1 root root 172257 Jan 12 16:58 00202.png\n-rw-r--r-- 1 root root 171121 Jan 12 16:58 00203.png\n-rw-r--r-- 1 root root 171364 Jan 12 16:58 00204.png\n-rw-r--r-- 1 root root 170270 Jan 12 16:58 00205.png\n-rw-r--r-- 1 root root 170966 Jan 12 16:58 00206.png\n-rw-r--r-- 1 root root 172508 Jan 12 16:58 00207.png\n-rw-r--r-- 1 root root 170293 Jan 12 16:58 00208.png\n-rw-r--r-- 1 root root 172472 Jan 12 16:58 00209.png\n-rw-r--r-- 1 root root 172301 Jan 12 16:58 00210.png\n-rw-r--r-- 1 root root 170662 Jan 12 16:58 00211.png\n-rw-r--r-- 1 root root 171710 Jan 12 16:58 00212.png\n-rw-r--r-- 1 root root 171855 Jan 12 16:58 00213.png\n-rw-r--r-- 1 root root 171918 Jan 12 16:58 00214.png\n-rw-r--r-- 1 root root 171544 Jan 12 16:58 00215.png\n-rw-r--r-- 1 root root 171737 Jan 12 16:58 00216.png\n-rw-r--r-- 1 root root 171852 Jan 12 16:58 00217.png\n-rw-r--r-- 1 root root 171520 Jan 12 16:58 00218.png\n-rw-r--r-- 1 root root 171152 Jan 12 16:58 00219.png\n-rw-r--r-- 1 root root 171442 Jan 12 16:58 00220.png\n-rw-r--r-- 1 root root 171190 Jan 12 16:58 00221.png\n-rw-r--r-- 1 root root 170799 Jan 12 16:58 00222.png\n-rw-r--r-- 1 root root 170511 Jan 12 16:58 00223.png\n-rw-r--r-- 1 root root 171113 Jan 12 16:58 00224.png\n-rw-r--r-- 1 root root 171676 Jan 12 16:58 00225.png\n-rw-r--r-- 1 root root 172078 Jan 12 16:58 00226.png\n-rw-r--r-- 1 root root 172079 Jan 12 16:58 00227.png\n-rw-r--r-- 1 root root 172259 Jan 12 16:58 00228.png\n-rw-r--r-- 1 root root 172198 Jan 12 16:58 00229.png\n-rw-r--r-- 1 root root 176252 Jan 12 16:58 00230.png\n-rw-r--r-- 1 root root 176327 Jan 12 16:58 00231.png\n-rw-r--r-- 1 root root 173108 Jan 12 16:58 00232.png\n-rw-r--r-- 1 root root 173935 Jan 12 16:58 00233.png\n-rw-r--r-- 1 root root 172669 Jan 12 16:58 00234.png\n-rw-r--r-- 1 root root 175226 Jan 12 16:58 00235.png\n-rw-r--r-- 1 root root 175844 Jan 12 16:58 00236.png\n-rw-r--r-- 1 root root 174143 Jan 12 16:58 00237.png\n-rw-r--r-- 1 root root 171618 Jan 12 16:58 00238.png\n-rw-r--r-- 1 root root 171440 Jan 12 16:58 00239.png\n-rw-r--r-- 1 root root 173628 Jan 12 16:58 00240.png\n-rw-r--r-- 1 root root 170325 Jan 12 16:58 00241.png\n-rw-r--r-- 1 root root 173663 Jan 12 16:58 00242.png\n-rw-r--r-- 1 root root 171651 Jan 12 16:58 00243.png\n-rw-r--r-- 1 root root 170489 Jan 12 16:58 00244.png\n-rw-r--r-- 1 root root 171827 Jan 12 16:58 00245.png\n-rw-r--r-- 1 root root 170746 Jan 12 16:58 00246.png\n-rw-r--r-- 1 root root 170340 Jan 12 16:58 00247.png\n-rw-r--r-- 1 root root 171529 Jan 12 16:58 00248.png\n-rw-r--r-- 1 root root 172342 Jan 12 16:58 00249.png\n-rw-r--r-- 1 root root 171109 Jan 12 16:58 00250.png\n-rw-r--r-- 1 root root 170854 Jan 12 16:58 00251.png\n-rw-r--r-- 1 root root 170780 Jan 12 16:58 00252.png\n-rw-r--r-- 1 root root 171273 Jan 12 16:58 00253.png\n-rw-r--r-- 1 root root 170363 Jan 12 16:58 00254.png\n-rw-r--r-- 1 root root 169230 Jan 12 16:58 00255.png\n-rw-r--r-- 1 root root 170333 Jan 12 16:58 00256.png\n-rw-r--r-- 1 root root 170451 Jan 12 16:58 00257.png\n-rw-r--r-- 1 root root 170346 Jan 12 16:58 00258.png\n-rw-r--r-- 1 root root 169481 Jan 12 16:58 00259.png\n-rw-r--r-- 1 root root 170558 Jan 12 16:58 00260.png\n-rw-r--r-- 1 root root 169550 Jan 12 16:58 00261.png\n-rw-r--r-- 1 root root 168112 Jan 12 16:58 00262.png\n-rw-r--r-- 1 root root 167662 Jan 12 16:58 00263.png\n-rw-r--r-- 1 root root 168514 Jan 12 16:58 00264.png\n-rw-r--r-- 1 root root 170241 Jan 12 16:58 00265.png\n-rw-r--r-- 1 root root 170978 Jan 12 16:58 00266.png\n-rw-r--r-- 1 root root 169811 Jan 12 16:58 00267.png\n-rw-r--r-- 1 root root 172259 Jan 12 16:58 00268.png\n-rw-r--r-- 1 root root 171443 Jan 12 16:58 00269.png\n-rw-r--r-- 1 root root 171040 Jan 12 16:58 00270.png\n-rw-r--r-- 1 root root 172685 Jan 12 16:58 00271.png\n-rw-r--r-- 1 root root 169414 Jan 12 16:58 00272.png\n-rw-r--r-- 1 root root 171523 Jan 12 16:58 00273.png\n-rw-r--r-- 1 root root 172148 Jan 12 16:58 00274.png\n-rw-r--r-- 1 root root 169933 Jan 12 16:58 00275.png\n-rw-r--r-- 1 root root 169879 Jan 12 16:58 00276.png\n-rw-r--r-- 1 root root 167724 Jan 12 16:58 00277.png\n-rw-r--r-- 1 root root 168579 Jan 12 16:58 00278.png\n-rw-r--r-- 1 root root 168676 Jan 12 16:58 00279.png\n-rw-r--r-- 1 root root 172219 Jan 12 16:58 00280.png\n-rw-r--r-- 1 root root 168701 Jan 12 16:58 00281.png\n-rw-r--r-- 1 root root 169075 Jan 12 16:58 00282.png\n-rw-r--r-- 1 root root 170142 Jan 12 16:58 00283.png\n-rw-r--r-- 1 root root 168824 Jan 12 16:58 00284.png\n-rw-r--r-- 1 root root 168656 Jan 12 16:58 00285.png\n-rw-r--r-- 1 root root 171097 Jan 12 16:58 00286.png\n-rw-r--r-- 1 root root 168048 Jan 12 16:58 00287.png\n-rw-r--r-- 1 root root 167429 Jan 12 16:58 00288.png\n-rw-r--r-- 1 root root 170482 Jan 12 16:58 00289.png\n-rw-r--r-- 1 root root 170596 Jan 12 16:58 00290.png\n-rw-r--r-- 1 root root 170620 Jan 12 16:58 00291.png\n-rw-r--r-- 1 root root 170901 Jan 12 16:58 00292.png\n-rw-r--r-- 1 root root 170021 Jan 12 16:58 00293.png\n-rw-r--r-- 1 root root 169465 Jan 12 16:58 00294.png\n-rw-r--r-- 1 root root 170746 Jan 12 16:58 00295.png\n-rw-r--r-- 1 root root 169082 Jan 12 16:58 00296.png\n-rw-r--r-- 1 root root 169423 Jan 12 16:58 00297.png\n-rw-r--r-- 1 root root 169764 Jan 12 16:59 00298.png\n-rw-r--r-- 1 root root 167027 Jan 12 16:59 00299.png\n-rw-r--r-- 1 root root 166352 Jan 12 16:59 00300.png\n-rw-r--r-- 1 root root 168577 Jan 12 16:59 00301.png\n-rw-r--r-- 1 root root 170442 Jan 12 16:59 00302.png\n-rw-r--r-- 1 root root 166182 Jan 12 16:59 00303.png\n-rw-r--r-- 1 root root 167703 Jan 12 16:59 00304.png\n-rw-r--r-- 1 root root 169320 Jan 12 16:59 00305.png\n-rw-r--r-- 1 root root 170344 Jan 12 16:59 00306.png\n-rw-r--r-- 1 root root 167059 Jan 12 16:59 00307.png\n-rw-r--r-- 1 root root 169742 Jan 12 16:59 00308.png\n-rw-r--r-- 1 root root 171146 Jan 12 16:59 00309.png\n-rw-r--r-- 1 root root 169368 Jan 12 16:59 00310.png\n-rw-r--r-- 1 root root 169408 Jan 12 16:59 00311.png\n-rw-r--r-- 1 root root 169055 Jan 12 16:59 00312.png\n-rw-r--r-- 1 root root 170641 Jan 12 16:59 00313.png\n-rw-r--r-- 1 root root 170590 Jan 12 16:59 00314.png\n-rw-r--r-- 1 root root 169335 Jan 12 16:59 00315.png\n-rw-r--r-- 1 root root 170186 Jan 12 16:59 00316.png\n-rw-r--r-- 1 root root 170879 Jan 12 16:59 00317.png\n-rw-r--r-- 1 root root 167626 Jan 12 16:59 00318.png\n-rw-r--r-- 1 root root 168644 Jan 12 16:59 00319.png\n-rw-r--r-- 1 root root 169507 Jan 12 16:59 00320.png\n-rw-r--r-- 1 root root 170267 Jan 12 16:59 00321.png\n-rw-r--r-- 1 root root 167284 Jan 12 16:59 00322.png\n-rw-r--r-- 1 root root 169260 Jan 12 16:59 00323.png\n-rw-r--r-- 1 root root 169217 Jan 12 16:59 00324.png\n-rw-r--r-- 1 root root 170657 Jan 12 16:59 00325.png\n-rw-r--r-- 1 root root 169384 Jan 12 16:59 00326.png\n-rw-r--r-- 1 root root 168649 Jan 12 16:59 00327.png\n-rw-r--r-- 1 root root 166871 Jan 12 16:59 00328.png\n-rw-r--r-- 1 root root 170916 Jan 12 16:59 00329.png\n-rw-r--r-- 1 root root 171901 Jan 12 16:59 00330.png\n-rw-r--r-- 1 root root 171626 Jan 12 16:59 00331.png\n-rw-r--r-- 1 root root 167135 Jan 12 16:59 00332.png\n-rw-r--r-- 1 root root 171225 Jan 12 16:59 00333.png\n-rw-r--r-- 1 root root 170055 Jan 12 16:59 00334.png\n-rw-r--r-- 1 root root 170839 Jan 12 16:59 00335.png\n-rw-r--r-- 1 root root 169113 Jan 12 16:59 00336.png\n-rw-r--r-- 1 root root 169081 Jan 12 16:59 00337.png\n-rw-r--r-- 1 root root 171789 Jan 12 16:59 00338.png\n-rw-r--r-- 1 root root 171914 Jan 12 16:59 00339.png\n-rw-r--r-- 1 root root 171855 Jan 12 16:59 00340.png\n-rw-r--r-- 1 root root 172150 Jan 12 16:59 00341.png\n-rw-r--r-- 1 root root 172181 Jan 12 16:59 00342.png\n-rw-r--r-- 1 root root 171780 Jan 12 16:59 00343.png\n-rw-r--r-- 1 root root 172325 Jan 12 16:59 00344.png\n-rw-r--r-- 1 root root 173723 Jan 12 16:59 00345.png\n-rw-r--r-- 1 root root 171922 Jan 12 16:59 00346.png\n-rw-r--r-- 1 root root 171009 Jan 12 16:59 00347.png\n-rw-r--r-- 1 root root 170648 Jan 12 16:59 00348.png\n-rw-r--r-- 1 root root 171743 Jan 12 16:59 00349.png\n-rw-r--r-- 1 root root 170975 Jan 12 16:59 00350.png\n-rw-r--r-- 1 root root 164843 Jan 12 16:59 00351.png\n-rw-r--r-- 1 root root 166116 Jan 12 16:59 00352.png\n-rw-r--r-- 1 root root 164770 Jan 12 16:59 00353.png\n-rw-r--r-- 1 root root 168779 Jan 12 16:59 00354.png\n-rw-r--r-- 1 root root 167458 Jan 12 16:59 00355.png\n-rw-r--r-- 1 root root 164694 Jan 12 16:59 00356.png\n-rw-r--r-- 1 root root 164391 Jan 12 16:59 00357.png\n-rw-r--r-- 1 root root 164947 Jan 12 16:59 00358.png\n-rw-r--r-- 1 root root 172173 Jan 12 16:59 00359.png\n-rw-r--r-- 1 root root 165576 Jan 12 16:59 00360.png\n-rw-r--r-- 1 root root 163333 Jan 12 16:59 00361.png\n-rw-r--r-- 1 root root 164031 Jan 12 16:59 00362.png\n-rw-r--r-- 1 root root 163325 Jan 12 16:59 00363.png\n-rw-r--r-- 1 root root 163154 Jan 12 16:59 00364.png\n-rw-r--r-- 1 root root 164292 Jan 12 16:59 00365.png\n-rw-r--r-- 1 root root 165715 Jan 12 16:59 00366.png\n-rw-r--r-- 1 root root 166102 Jan 12 16:59 00367.png\n-rw-r--r-- 1 root root 164499 Jan 12 16:59 00368.png\n-rw-r--r-- 1 root root 164922 Jan 12 16:59 00369.png\n-rw-r--r-- 1 root root 164299 Jan 12 16:59 00370.png\n-rw-r--r-- 1 root root 165286 Jan 12 16:59 00371.png\n-rw-r--r-- 1 root root 164795 Jan 12 16:59 00372.png\n-rw-r--r-- 1 root root 164820 Jan 12 16:59 00373.png\n-rw-r--r-- 1 root root 164907 Jan 12 16:59 00374.png\n-rw-r--r-- 1 root root 168903 Jan 12 16:59 00375.png\n-rw-r--r-- 1 root root 164713 Jan 12 16:59 00376.png\n-rw-r--r-- 1 root root 165440 Jan 12 16:59 00377.png\n-rw-r--r-- 1 root root 164367 Jan 12 16:59 00378.png\n-rw-r--r-- 1 root root 165003 Jan 12 16:59 00379.png\n-rw-r--r-- 1 root root 169089 Jan 12 16:59 00380.png\n-rw-r--r-- 1 root root 170181 Jan 12 16:59 00381.png\n-rw-r--r-- 1 root root 170186 Jan 12 16:59 00382.png\n-rw-r--r-- 1 root root 169299 Jan 12 16:59 00383.png\n-rw-r--r-- 1 root root 170297 Jan 12 16:59 00384.png\n-rw-r--r-- 1 root root 171756 Jan 12 16:59 00385.png\n-rw-r--r-- 1 root root 171119 Jan 12 16:59 00386.png\n-rw-r--r-- 1 root root 169187 Jan 12 16:59 00387.png\n-rw-r--r-- 1 root root 168946 Jan 12 16:59 00388.png\n-rw-r--r-- 1 root root 168974 Jan 12 16:59 00389.png\n-rw-r--r-- 1 root root 171305 Jan 12 16:59 00390.png\n-rw-r--r-- 1 root root 170952 Jan 12 16:59 00391.png\n-rw-r--r-- 1 root root 170760 Jan 12 16:59 00392.png\n-rw-r--r-- 1 root root 172032 Jan 12 16:59 00393.png\n-rw-r--r-- 1 root root 170290 Jan 12 16:59 00394.png\n-rw-r--r-- 1 root root 170045 Jan 12 16:59 00395.png\n-rw-r--r-- 1 root root 171992 Jan 12 16:59 00396.png\n-rw-r--r-- 1 root root 171768 Jan 12 16:59 00397.png\n-rw-r--r-- 1 root root 169640 Jan 12 16:59 00398.png\n-rw-r--r-- 1 root root 171749 Jan 12 16:59 00399.png\n-rw-r--r-- 1 root root 171214 Jan 12 16:59 00400.png\n-rw-r--r-- 1 root root 170706 Jan 12 16:59 00401.png\n-rw-r--r-- 1 root root 171787 Jan 12 16:59 00402.png\n-rw-r--r-- 1 root root 170924 Jan 12 16:59 00403.png\n-rw-r--r-- 1 root root 169842 Jan 12 16:59 00404.png\n-rw-r--r-- 1 root root 172043 Jan 12 16:59 00405.png\n-rw-r--r-- 1 root root 172717 Jan 12 16:59 00406.png\n-rw-r--r-- 1 root root 171932 Jan 12 16:59 00407.png\n-rw-r--r-- 1 root root 171932 Jan 12 16:59 00408.png\n-rw-r--r-- 1 root root 172768 Jan 12 16:59 00409.png\n-rw-r--r-- 1 root root 172926 Jan 12 16:59 00410.png\n-rw-r--r-- 1 root root 173415 Jan 12 16:59 00411.png\n-rw-r--r-- 1 root root 175151 Jan 12 16:59 00412.png\n-rw-r--r-- 1 root root 174352 Jan 12 16:59 00413.png\n-rw-r--r-- 1 root root 174846 Jan 12 16:59 00414.png\n-rw-r--r-- 1 root root 171746 Jan 12 16:59 00415.png\n-rw-r--r-- 1 root root 173953 Jan 12 16:59 00416.png\n-rw-r--r-- 1 root root 175288 Jan 12 16:59 00417.png\n-rw-r--r-- 1 root root 173447 Jan 12 16:59 00418.png\n-rw-r--r-- 1 root root 170444 Jan 12 16:59 00419.png\n-rw-r--r-- 1 root root 170146 Jan 12 16:59 00420.png\n-rw-r--r-- 1 root root 171640 Jan 12 16:59 00421.png\n-rw-r--r-- 1 root root 171091 Jan 12 16:59 00422.png\n-rw-r--r-- 1 root root 174671 Jan 12 16:59 00423.png\n-rw-r--r-- 1 root root 174277 Jan 12 16:59 00424.png\n-rw-r--r-- 1 root root 177102 Jan 12 16:59 00425.png\n-rw-r--r-- 1 root root 171761 Jan 12 16:59 00426.png\n-rw-r--r-- 1 root root 174048 Jan 12 16:59 00427.png\n-rw-r--r-- 1 root root 174261 Jan 12 16:59 00428.png\n-rw-r--r-- 1 root root 176511 Jan 12 16:59 00429.png\n-rw-r--r-- 1 root root 176944 Jan 12 16:59 00430.png\n-rw-r--r-- 1 root root 177138 Jan 12 16:59 00431.png\n-rw-r--r-- 1 root root 178120 Jan 12 16:59 00432.png\n-rw-r--r-- 1 root root 176118 Jan 12 16:59 00433.png\n-rw-r--r-- 1 root root 173072 Jan 12 16:59 00434.png\n-rw-r--r-- 1 root root 176131 Jan 12 16:59 00435.png\n-rw-r--r-- 1 root root 176919 Jan 12 16:59 00436.png\n-rw-r--r-- 1 root root 179100 Jan 12 16:59 00437.png\n-rw-r--r-- 1 root root 178179 Jan 12 16:59 00438.png\n-rw-r--r-- 1 root root 176997 Jan 12 16:59 00439.png\n-rw-r--r-- 1 root root 177584 Jan 12 16:59 00440.png\n-rw-r--r-- 1 root root 172982 Jan 12 16:59 00441.png\n-rw-r--r-- 1 root root 175042 Jan 12 16:59 00442.png\n-rw-r--r-- 1 root root 177867 Jan 12 16:59 00443.png\n-rw-r--r-- 1 root root 178275 Jan 12 16:59 00444.png\n-rw-r--r-- 1 root root 179222 Jan 12 16:59 00445.png\n-rw-r--r-- 1 root root 179354 Jan 12 16:59 00446.png\n-rw-r--r-- 1 root root 179310 Jan 12 16:59 00447.png\n-rw-r--r-- 1 root root 177486 Jan 12 16:59 00448.png\n-rw-r--r-- 1 root root 174211 Jan 12 16:59 00449.png\n-rw-r--r-- 1 root root 178324 Jan 12 16:59 00450.png\n-rw-r--r-- 1 root root 179339 Jan 12 16:59 00451.png\n-rw-r--r-- 1 root root 181744 Jan 12 16:59 00452.png\n-rw-r--r-- 1 root root 178176 Jan 12 16:59 00453.png\n-rw-r--r-- 1 root root 176221 Jan 12 16:59 00454.png\n-rw-r--r-- 1 root root 183696 Jan 12 16:59 00455.png\n-rw-r--r-- 1 root root 177971 Jan 12 17:00 00456.png\n-rw-r--r-- 1 root root 179529 Jan 12 17:00 00457.png\n-rw-r--r-- 1 root root 179906 Jan 12 17:00 00458.png\n-rw-r--r-- 1 root root 180551 Jan 12 17:00 00459.png\n-rw-r--r-- 1 root root 182035 Jan 12 17:00 00460.png\n-rw-r--r-- 1 root root 180134 Jan 12 17:00 00461.png\n-rw-r--r-- 1 root root 181336 Jan 12 17:00 00462.png\n-rw-r--r-- 1 root root 179561 Jan 12 17:00 00463.png\n-rw-r--r-- 1 root root 174981 Jan 12 17:00 00464.png\n-rw-r--r-- 1 root root 179896 Jan 12 17:00 00465.png\n-rw-r--r-- 1 root root 181686 Jan 12 17:00 00466.png\n-rw-r--r-- 1 root root 183037 Jan 12 17:00 00467.png\n-rw-r--r-- 1 root root 179913 Jan 12 17:00 00468.png\n-rw-r--r-- 1 root root 175176 Jan 12 17:00 00469.png\n-rw-r--r-- 1 root root 185218 Jan 12 17:00 00470.png\n-rw-r--r-- 1 root root 181032 Jan 12 17:00 00471.png\n-rw-r--r-- 1 root root 183530 Jan 12 17:00 00472.png\n-rw-r--r-- 1 root root 183251 Jan 12 17:00 00473.png\n-rw-r--r-- 1 root root 186964 Jan 12 17:00 00474.png\n-rw-r--r-- 1 root root 183618 Jan 12 17:00 00475.png\n-rw-r--r-- 1 root root 179971 Jan 12 17:00 00476.png\n-rw-r--r-- 1 root root 179522 Jan 12 17:00 00477.png\n-rw-r--r-- 1 root root 184577 Jan 12 17:00 00478.png\n-rw-r--r-- 1 root root 183241 Jan 12 17:00 00479.png\n-rw-r--r-- 1 root root 185001 Jan 12 17:00 00480.png\n-rw-r--r-- 1 root root 188392 Jan 12 17:00 00481.png\n-rw-r--r-- 1 root root 186432 Jan 12 17:00 00482.png\n-rw-r--r-- 1 root root 181526 Jan 12 17:00 00483.png\n-rw-r--r-- 1 root root 177585 Jan 12 17:00 00484.png\n-rw-r--r-- 1 root root 187831 Jan 12 17:00 00485.png\n-rw-r--r-- 1 root root 187235 Jan 12 17:00 00486.png\n-rw-r--r-- 1 root root 186301 Jan 12 17:00 00487.png\n-rw-r--r-- 1 root root 188345 Jan 12 17:00 00488.png\n-rw-r--r-- 1 root root 189346 Jan 12 17:00 00489.png\n-rw-r--r-- 1 root root 187724 Jan 12 17:00 00490.png\n-rw-r--r-- 1 root root 181502 Jan 12 17:00 00491.png\n-rw-r--r-- 1 root root 182609 Jan 12 17:00 00492.png\n-rw-r--r-- 1 root root 188409 Jan 12 17:00 00493.png\n-rw-r--r-- 1 root root 190171 Jan 12 17:00 00494.png\n-rw-r--r-- 1 root root 190361 Jan 12 17:00 00495.png\n-rw-r--r-- 1 root root 190666 Jan 12 17:00 00496.png\n-rw-r--r-- 1 root root 188725 Jan 12 17:00 00497.png\n-rw-r--r-- 1 root root 186970 Jan 12 17:00 00498.png\n-rw-r--r-- 1 root root 181878 Jan 12 17:00 00499.png\n-rw-r--r-- 1 root root 189315 Jan 12 17:00 00500.png\n-rw-r--r-- 1 root root 190417 Jan 12 17:00 00501.png\n-rw-r--r-- 1 root root 191542 Jan 12 17:00 00502.png\n-rw-r--r-- 1 root root 190851 Jan 12 17:00 00503.png\n-rw-r--r-- 1 root root 188653 Jan 12 17:00 00504.png\n-rw-r--r-- 1 root root 188299 Jan 12 17:00 00505.png\n-rw-r--r-- 1 root root 183830 Jan 12 17:00 00506.png\n-rw-r--r-- 1 root root 185037 Jan 12 17:00 00507.png\n-rw-r--r-- 1 root root 193018 Jan 12 17:00 00508.png\n-rw-r--r-- 1 root root 192895 Jan 12 17:00 00509.png\n-rw-r--r-- 1 root root 194269 Jan 12 17:00 00510.png\n-rw-r--r-- 1 root root 193830 Jan 12 17:00 00511.png\n-rw-r--r-- 1 root root 188760 Jan 12 17:00 00512.png\n-rw-r--r-- 1 root root 186000 Jan 12 17:00 00513.png\n-rw-r--r-- 1 root root 185978 Jan 12 17:00 00514.png\n-rw-r--r-- 1 root root 188585 Jan 12 17:00 00515.png\n-rw-r--r-- 1 root root 195411 Jan 12 17:00 00516.png\n-rw-r--r-- 1 root root 193903 Jan 12 17:00 00517.png\n-rw-r--r-- 1 root root 190994 Jan 12 17:00 00518.png\n-rw-r--r-- 1 root root 187250 Jan 12 17:00 00519.png\n-rw-r--r-- 1 root root 187675 Jan 12 17:00 00520.png\n-rw-r--r-- 1 root root 188435 Jan 12 17:00 00521.png\n-rw-r--r-- 1 root root 188577 Jan 12 17:00 00522.png\n-rw-r--r-- 1 root root 192021 Jan 12 17:00 00523.png\n-rw-r--r-- 1 root root 197447 Jan 12 17:00 00524.png\n-rw-r--r-- 1 root root 190851 Jan 12 17:00 00525.png\n-rw-r--r-- 1 root root 190906 Jan 12 17:00 00526.png\n-rw-r--r-- 1 root root 189632 Jan 12 17:00 00527.png\n-rw-r--r-- 1 root root 189591 Jan 12 17:00 00528.png\n-rw-r--r-- 1 root root 190276 Jan 12 17:00 00529.png\n-rw-r--r-- 1 root root 191421 Jan 12 17:00 00530.png\n-rw-r--r-- 1 root root 198381 Jan 12 17:00 00531.png\n-rw-r--r-- 1 root root 194948 Jan 12 17:00 00532.png\n-rw-r--r-- 1 root root 193132 Jan 12 17:00 00533.png\n-rw-r--r-- 1 root root 192273 Jan 12 17:00 00534.png\n-rw-r--r-- 1 root root 190501 Jan 12 17:00 00535.png\n-rw-r--r-- 1 root root 190904 Jan 12 17:00 00536.png\n-rw-r--r-- 1 root root 188440 Jan 12 17:00 00537.png\n-rw-r--r-- 1 root root 194587 Jan 12 17:00 00538.png\n-rw-r--r-- 1 root root 199926 Jan 12 17:00 00539.png\n-rw-r--r-- 1 root root 194583 Jan 12 17:00 00540.png\n-rw-r--r-- 1 root root 193120 Jan 12 17:00 00541.png\n-rw-r--r-- 1 root root 192529 Jan 12 17:00 00542.png\n-rw-r--r-- 1 root root 191280 Jan 12 17:00 00543.png\n-rw-r--r-- 1 root root 189255 Jan 12 17:00 00544.png\n-rw-r--r-- 1 root root 192300 Jan 12 17:00 00545.png\n-rw-r--r-- 1 root root 200965 Jan 12 17:00 00546.png\n-rw-r--r-- 1 root root 198651 Jan 12 17:00 00547.png\n-rw-r--r-- 1 root root 194944 Jan 12 17:00 00548.png\n-rw-r--r-- 1 root root 194310 Jan 12 17:00 00549.png\n-rw-r--r-- 1 root root 195691 Jan 12 17:00 00550.png\n-rw-r--r-- 1 root root 193654 Jan 12 17:00 00551.png\n-rw-r--r-- 1 root root 194954 Jan 12 17:00 00552.png\n-rw-r--r-- 1 root root 198778 Jan 12 17:00 00553.png\n-rw-r--r-- 1 root root 201774 Jan 12 17:00 00554.png\n-rw-r--r-- 1 root root 199150 Jan 12 17:00 00555.png\n-rw-r--r-- 1 root root 197640 Jan 12 17:00 00556.png\n-rw-r--r-- 1 root root 198418 Jan 12 17:00 00557.png\n-rw-r--r-- 1 root root 196810 Jan 12 17:00 00558.png\n-rw-r--r-- 1 root root 196679 Jan 12 17:00 00559.png\n-rw-r--r-- 1 root root 198311 Jan 12 17:00 00560.png\n-rw-r--r-- 1 root root 201768 Jan 12 17:00 00561.png\n-rw-r--r-- 1 root root 200886 Jan 12 17:00 00562.png\n-rw-r--r-- 1 root root 200183 Jan 12 17:00 00563.png\n-rw-r--r-- 1 root root 199090 Jan 12 17:00 00564.png\n-rw-r--r-- 1 root root 198538 Jan 12 17:00 00565.png\n-rw-r--r-- 1 root root 198268 Jan 12 17:00 00566.png\n-rw-r--r-- 1 root root 198592 Jan 12 17:00 00567.png\n-rw-r--r-- 1 root root 201364 Jan 12 17:00 00568.png\n-rw-r--r-- 1 root root 203613 Jan 12 17:00 00569.png\n-rw-r--r-- 1 root root 201511 Jan 12 17:00 00570.png\n-rw-r--r-- 1 root root 199791 Jan 12 17:00 00571.png\n-rw-r--r-- 1 root root 199829 Jan 12 17:00 00572.png\n-rw-r--r-- 1 root root 199887 Jan 12 17:00 00573.png\n-rw-r--r-- 1 root root 200135 Jan 12 17:00 00574.png\n-rw-r--r-- 1 root root 200884 Jan 12 17:00 00575.png\n-rw-r--r-- 1 root root 203799 Jan 12 17:00 00576.png\n-rw-r--r-- 1 root root 202319 Jan 12 17:00 00577.png\n-rw-r--r-- 1 root root 202027 Jan 12 17:00 00578.png\n-rw-r--r-- 1 root root 201528 Jan 12 17:00 00579.png\n-rw-r--r-- 1 root root 200843 Jan 12 17:00 00580.png\n-rw-r--r-- 1 root root 200640 Jan 12 17:00 00581.png\n-rw-r--r-- 1 root root 202329 Jan 12 17:00 00582.png\n-rw-r--r-- 1 root root 206183 Jan 12 17:00 00583.png\n-rw-r--r-- 1 root root 206545 Jan 12 17:00 00584.png\n-rw-r--r-- 1 root root 206376 Jan 12 17:00 00585.png\n-rw-r--r-- 1 root root 205761 Jan 12 17:00 00586.png\n-rw-r--r-- 1 root root 203543 Jan 12 17:00 00587.png\n-rw-r--r-- 1 root root 202988 Jan 12 17:00 00588.png\n-rw-r--r-- 1 root root 202990 Jan 12 17:00 00589.png\n-rw-r--r-- 1 root root 204780 Jan 12 17:00 00590.png\n-rw-r--r-- 1 root root 206892 Jan 12 17:00 00591.png\n-rw-r--r-- 1 root root 207471 Jan 12 17:00 00592.png\n-rw-r--r-- 1 root root 206661 Jan 12 17:00 00593.png\n-rw-r--r-- 1 root root 203208 Jan 12 17:00 00594.png\n-rw-r--r-- 1 root root 202656 Jan 12 17:00 00595.png\n-rw-r--r-- 1 root root 204122 Jan 12 17:00 00596.png\n-rw-r--r-- 1 root root 203923 Jan 12 17:00 00597.png\n-rw-r--r-- 1 root root 204540 Jan 12 17:00 00598.png\n-rw-r--r-- 1 root root 204587 Jan 12 17:00 00599.png\n-rw-r--r-- 1 root root 204021 Jan 12 17:00 00600.png\n-rw-r--r-- 1 root root 205065 Jan 12 17:00 00601.png\n-rw-r--r-- 1 root root 203691 Jan 12 17:00 00602.png\n-rw-r--r-- 1 root root 204237 Jan 12 17:00 00603.png\n-rw-r--r-- 1 root root 204684 Jan 12 17:00 00604.png\n-rw-r--r-- 1 root root 204640 Jan 12 17:00 00605.png\n-rw-r--r-- 1 root root 207110 Jan 12 17:00 00606.png\n-rw-r--r-- 1 root root 205664 Jan 12 17:00 00607.png\n-rw-r--r-- 1 root root 206200 Jan 12 17:00 00608.png\n-rw-r--r-- 1 root root 204691 Jan 12 17:00 00609.png\n-rw-r--r-- 1 root root 204908 Jan 12 17:00 00610.png\n-rw-r--r-- 1 root root 205339 Jan 12 17:00 00611.png\n-rw-r--r-- 1 root root 203837 Jan 12 17:00 00612.png\n-rw-r--r-- 1 root root 205973 Jan 12 17:00 00613.png\n-rw-r--r-- 1 root root 205814 Jan 12 17:00 00614.png\n-rw-r--r-- 1 root root 206395 Jan 12 17:00 00615.png\n-rw-r--r-- 1 root root 206021 Jan 12 17:00 00616.png\n-rw-r--r-- 1 root root 204020 Jan 12 17:00 00617.png\n-rw-r--r-- 1 root root 203947 Jan 12 17:00 00618.png\n-rw-r--r-- 1 root root 205645 Jan 12 17:00 00619.png\n-rw-r--r-- 1 root root 204548 Jan 12 17:00 00620.png\n-rw-r--r-- 1 root root 206864 Jan 12 17:00 00621.png\n-rw-r--r-- 1 root root 206036 Jan 12 17:00 00622.png\n-rw-r--r-- 1 root root 205738 Jan 12 17:00 00623.png\n-rw-r--r-- 1 root root 205431 Jan 12 17:01 00624.png\n-rw-r--r-- 1 root root 204468 Jan 12 17:01 00625.png\n-rw-r--r-- 1 root root 205521 Jan 12 17:01 00626.png\n-rw-r--r-- 1 root root 205546 Jan 12 17:01 00627.png\n-rw-r--r-- 1 root root 205612 Jan 12 17:01 00628.png\n-rw-r--r-- 1 root root 208239 Jan 12 17:01 00629.png\n-rw-r--r-- 1 root root 206105 Jan 12 17:01 00630.png\n-rw-r--r-- 1 root root 206027 Jan 12 17:01 00631.png\n-rw-r--r-- 1 root root 205235 Jan 12 17:01 00632.png\n-rw-r--r-- 1 root root 205838 Jan 12 17:01 00633.png\n-rw-r--r-- 1 root root 206022 Jan 12 17:01 00634.png\n-rw-r--r-- 1 root root 204510 Jan 12 17:01 00635.png\n-rw-r--r-- 1 root root 209178 Jan 12 17:01 00636.png\n-rw-r--r-- 1 root root 207516 Jan 12 17:01 00637.png\n-rw-r--r-- 1 root root 206617 Jan 12 17:01 00638.png\n-rw-r--r-- 1 root root 205312 Jan 12 17:01 00639.png\n-rw-r--r-- 1 root root 205886 Jan 12 17:01 00640.png\n-rw-r--r-- 1 root root 206401 Jan 12 17:01 00641.png\n-rw-r--r-- 1 root root 206430 Jan 12 17:01 00642.png\n-rw-r--r-- 1 root root 208082 Jan 12 17:01 00643.png\n-rw-r--r-- 1 root root 210871 Jan 12 17:01 00644.png\n-rw-r--r-- 1 root root 207732 Jan 12 17:01 00645.png\n-rw-r--r-- 1 root root 206744 Jan 12 17:01 00646.png\n-rw-r--r-- 1 root root 207085 Jan 12 17:01 00647.png\n-rw-r--r-- 1 root root 206843 Jan 12 17:01 00648.png\n-rw-r--r-- 1 root root 207232 Jan 12 17:01 00649.png\n-rw-r--r-- 1 root root 207249 Jan 12 17:01 00650.png\n-rw-r--r-- 1 root root 208700 Jan 12 17:01 00651.png\n-rw-r--r-- 1 root root 208552 Jan 12 17:01 00652.png\n-rw-r--r-- 1 root root 207709 Jan 12 17:01 00653.png\n-rw-r--r-- 1 root root 207694 Jan 12 17:01 00654.png\n-rw-r--r-- 1 root root 207503 Jan 12 17:01 00655.png\n-rw-r--r-- 1 root root 208692 Jan 12 17:01 00656.png\n-rw-r--r-- 1 root root 208037 Jan 12 17:01 00657.png\n-rw-r--r-- 1 root root 208711 Jan 12 17:01 00658.png\n-rw-r--r-- 1 root root 209898 Jan 12 17:01 00659.png\n-rw-r--r-- 1 root root 208311 Jan 12 17:01 00660.png\n-rw-r--r-- 1 root root 208289 Jan 12 17:01 00661.png\n-rw-r--r-- 1 root root 208496 Jan 12 17:01 00662.png\n-rw-r--r-- 1 root root 209928 Jan 12 17:01 00663.png\n-rw-r--r-- 1 root root 209084 Jan 12 17:01 00664.png\n-rw-r--r-- 1 root root 208740 Jan 12 17:01 00665.png\n-rw-r--r-- 1 root root 209803 Jan 12 17:01 00666.png\n-rw-r--r-- 1 root root 210107 Jan 12 17:01 00667.png\n-rw-r--r-- 1 root root 209151 Jan 12 17:01 00668.png\n-rw-r--r-- 1 root root 209238 Jan 12 17:01 00669.png\n-rw-r--r-- 1 root root 211096 Jan 12 17:01 00670.png\n-rw-r--r-- 1 root root 211083 Jan 12 17:01 00671.png\n-rw-r--r-- 1 root root 212218 Jan 12 17:01 00672.png\n-rw-r--r-- 1 root root 210018 Jan 12 17:01 00673.png\n-rw-r--r-- 1 root root 210843 Jan 12 17:01 00674.png\n-rw-r--r-- 1 root root 210634 Jan 12 17:01 00675.png\n-rw-r--r-- 1 root root 210242 Jan 12 17:01 00676.png\n-rw-r--r-- 1 root root 212128 Jan 12 17:01 00677.png\n-rw-r--r-- 1 root root 211765 Jan 12 17:01 00678.png\n-rw-r--r-- 1 root root 211685 Jan 12 17:01 00679.png\n-rw-r--r-- 1 root root 212253 Jan 12 17:01 00680.png\n-rw-r--r-- 1 root root 212596 Jan 12 17:01 00681.png\n-rw-r--r-- 1 root root 212381 Jan 12 17:01 00682.png\n-rw-r--r-- 1 root root 212291 Jan 12 17:01 00683.png\n-rw-r--r-- 1 root root 213689 Jan 12 17:01 00684.png\n-rw-r--r-- 1 root root 212914 Jan 12 17:01 00685.png\n-rw-r--r-- 1 root root 212489 Jan 12 17:01 00686.png\n-rw-r--r-- 1 root root 212544 Jan 12 17:01 00687.png\n-rw-r--r-- 1 root root 214048 Jan 12 17:01 00688.png\n-rw-r--r-- 1 root root 213278 Jan 12 17:01 00689.png\n-rw-r--r-- 1 root root 213856 Jan 12 17:01 00690.png\n-rw-r--r-- 1 root root 214254 Jan 12 17:01 00691.png\n-rw-r--r-- 1 root root 213821 Jan 12 17:01 00692.png\n-rw-r--r-- 1 root root 214042 Jan 12 17:01 00693.png\n-rw-r--r-- 1 root root 214782 Jan 12 17:01 00694.png\n-rw-r--r-- 1 root root 214133 Jan 12 17:01 00695.png\n-rw-r--r-- 1 root root 215069 Jan 12 17:01 00696.png\n-rw-r--r-- 1 root root 215416 Jan 12 17:01 00697.png\n-rw-r--r-- 1 root root 215376 Jan 12 17:01 00698.png\n-rw-r--r-- 1 root root 214377 Jan 12 17:01 00699.png\n-rw-r--r-- 1 root root 214541 Jan 12 17:01 00700.png\n-rw-r--r-- 1 root root 215474 Jan 12 17:01 00701.png\n-rw-r--r-- 1 root root 215174 Jan 12 17:01 00702.png\n-rw-r--r-- 1 root root 217095 Jan 12 17:01 00703.png\n-rw-r--r-- 1 root root 214512 Jan 12 17:01 00704.png\n-rw-r--r-- 1 root root 214526 Jan 12 17:01 00705.png\n-rw-r--r-- 1 root root 216179 Jan 12 17:01 00706.png\n-rw-r--r-- 1 root root 215758 Jan 12 17:01 00707.png\n-rw-r--r-- 1 root root 215632 Jan 12 17:01 00708.png\n-rw-r--r-- 1 root root 215512 Jan 12 17:01 00709.png\n-rw-r--r-- 1 root root 216290 Jan 12 17:01 00710.png\n-rw-r--r-- 1 root root 213977 Jan 12 17:01 00711.png\n-rw-r--r-- 1 root root 214020 Jan 12 17:01 00712.png\n-rw-r--r-- 1 root root 216598 Jan 12 17:01 00713.png\n-rw-r--r-- 1 root root 215712 Jan 12 17:01 00714.png\n-rw-r--r-- 1 root root 215659 Jan 12 17:01 00715.png\n-rw-r--r-- 1 root root 215989 Jan 12 17:01 00716.png\n-rw-r--r-- 1 root root 216405 Jan 12 17:01 00717.png\n-rw-r--r-- 1 root root 217232 Jan 12 17:01 00718.png\n-rw-r--r-- 1 root root 214649 Jan 12 17:01 00719.png\n-rw-r--r-- 1 root root 216969 Jan 12 17:01 00720.png\n-rw-r--r-- 1 root root 216218 Jan 12 17:01 00721.png\n-rw-r--r-- 1 root root 216881 Jan 12 17:01 00722.png\n-rw-r--r-- 1 root root 217131 Jan 12 17:01 00723.png\n-rw-r--r-- 1 root root 216702 Jan 12 17:01 00724.png\n-rw-r--r-- 1 root root 216475 Jan 12 17:01 00725.png\n-rw-r--r-- 1 root root 214140 Jan 12 17:01 00726.png\n-rw-r--r-- 1 root root 216837 Jan 12 17:01 00727.png\n-rw-r--r-- 1 root root 217073 Jan 12 17:01 00728.png\n-rw-r--r-- 1 root root 216089 Jan 12 17:01 00729.png\n-rw-r--r-- 1 root root 217884 Jan 12 17:01 00730.png\n-rw-r--r-- 1 root root 218363 Jan 12 17:01 00731.png\n-rw-r--r-- 1 root root 218569 Jan 12 17:01 00732.png\n-rw-r--r-- 1 root root 217299 Jan 12 17:01 00733.png\n-rw-r--r-- 1 root root 214650 Jan 12 17:01 00734.png\n-rw-r--r-- 1 root root 217661 Jan 12 17:01 00735.png\n-rw-r--r-- 1 root root 216709 Jan 12 17:01 00736.png\n-rw-r--r-- 1 root root 217694 Jan 12 17:01 00737.png\n-rw-r--r-- 1 root root 218806 Jan 12 17:01 00738.png\n-rw-r--r-- 1 root root 219078 Jan 12 17:01 00739.png\n-rw-r--r-- 1 root root 218478 Jan 12 17:01 00740.png\n-rw-r--r-- 1 root root 218458 Jan 12 17:01 00741.png\n-rw-r--r-- 1 root root 217872 Jan 12 17:01 00742.png\n-rw-r--r-- 1 root root 217331 Jan 12 17:01 00743.png\n-rw-r--r-- 1 root root 217954 Jan 12 17:01 00744.png\n-rw-r--r-- 1 root root 218943 Jan 12 17:01 00745.png\n-rw-r--r-- 1 root root 219725 Jan 12 17:01 00746.png\n-rw-r--r-- 1 root root 219598 Jan 12 17:01 00747.png\n-rw-r--r-- 1 root root 217803 Jan 12 17:01 00748.png\n-rw-r--r-- 1 root root 216781 Jan 12 17:01 00749.png\n-rw-r--r-- 1 root root 217799 Jan 12 17:01 00750.png\n-rw-r--r-- 1 root root 217918 Jan 12 17:01 00751.png\n-rw-r--r-- 1 root root 219270 Jan 12 17:01 00752.png\n-rw-r--r-- 1 root root 220206 Jan 12 17:01 00753.png\n-rw-r--r-- 1 root root 220629 Jan 12 17:01 00754.png\n-rw-r--r-- 1 root root 219359 Jan 12 17:01 00755.png\n-rw-r--r-- 1 root root 217590 Jan 12 17:01 00756.png\n-rw-r--r-- 1 root root 218127 Jan 12 17:01 00757.png\n-rw-r--r-- 1 root root 218987 Jan 12 17:01 00758.png\n-rw-r--r-- 1 root root 219033 Jan 12 17:01 00759.png\n-rw-r--r-- 1 root root 219923 Jan 12 17:01 00760.png\n-rw-r--r-- 1 root root 221039 Jan 12 17:01 00761.png\n-rw-r--r-- 1 root root 221106 Jan 12 17:01 00762.png\n-rw-r--r-- 1 root root 219336 Jan 12 17:01 00763.png\n-rw-r--r-- 1 root root 217894 Jan 12 17:01 00764.png\n-rw-r--r-- 1 root root 219219 Jan 12 17:01 00765.png\n-rw-r--r-- 1 root root 219522 Jan 12 17:01 00766.png\n-rw-r--r-- 1 root root 220777 Jan 12 17:01 00767.png\n-rw-r--r-- 1 root root 221235 Jan 12 17:02 00768.png\n-rw-r--r-- 1 root root 222141 Jan 12 17:02 00769.png\n-rw-r--r-- 1 root root 220525 Jan 12 17:02 00770.png\n-rw-r--r-- 1 root root 218671 Jan 12 17:02 00771.png\n-rw-r--r-- 1 root root 219610 Jan 12 17:02 00772.png\n-rw-r--r-- 1 root root 219670 Jan 12 17:02 00773.png\n-rw-r--r-- 1 root root 220218 Jan 12 17:02 00774.png\n-rw-r--r-- 1 root root 222322 Jan 12 17:02 00775.png\n-rw-r--r-- 1 root root 222836 Jan 12 17:02 00776.png\n-rw-r--r-- 1 root root 222526 Jan 12 17:02 00777.png\n-rw-r--r-- 1 root root 220049 Jan 12 17:02 00778.png\n-rw-r--r-- 1 root root 219191 Jan 12 17:02 00779.png\n-rw-r--r-- 1 root root 219881 Jan 12 17:02 00780.png\n-rw-r--r-- 1 root root 220959 Jan 12 17:02 00781.png\n-rw-r--r-- 1 root root 221556 Jan 12 17:02 00782.png\n-rw-r--r-- 1 root root 222237 Jan 12 17:02 00783.png\n-rw-r--r-- 1 root root 221140 Jan 12 17:02 00784.png\n-rw-r--r-- 1 root root 217934 Jan 12 17:02 00785.png\n-rw-r--r-- 1 root root 217192 Jan 12 17:02 00786.png\n-rw-r--r-- 1 root root 216895 Jan 12 17:02 00787.png\n-rw-r--r-- 1 root root 217183 Jan 12 17:02 00788.png\n-rw-r--r-- 1 root root 217990 Jan 12 17:02 00789.png\n-rw-r--r-- 1 root root 216951 Jan 12 17:02 00790.png\n-rw-r--r-- 1 root root 217388 Jan 12 17:02 00791.png\n-rw-r--r-- 1 root root 217590 Jan 12 17:02 00792.png\n-rw-r--r-- 1 root root 216995 Jan 12 17:02 00793.png\n-rw-r--r-- 1 root root 216931 Jan 12 17:02 00794.png\n-rw-r--r-- 1 root root 216943 Jan 12 17:02 00795.png\n-rw-r--r-- 1 root root 217531 Jan 12 17:02 00796.png\n-rw-r--r-- 1 root root 216573 Jan 12 17:02 00797.png\n-rw-r--r-- 1 root root 216600 Jan 12 17:02 00798.png\n-rw-r--r-- 1 root root 217233 Jan 12 17:02 00799.png\n-rw-r--r-- 1 root root 217507 Jan 12 17:02 00800.png\n-rw-r--r-- 1 root root 217611 Jan 12 17:02 00801.png\n-rw-r--r-- 1 root root 217423 Jan 12 17:02 00802.png\n-rw-r--r-- 1 root root 217427 Jan 12 17:02 00803.png\n-rw-r--r-- 1 root root 217356 Jan 12 17:02 00804.png\n-rw-r--r-- 1 root root 217200 Jan 12 17:02 00805.png\n-rw-r--r-- 1 root root 217936 Jan 12 17:02 00806.png\n-rw-r--r-- 1 root root 217526 Jan 12 17:02 00807.png\n-rw-r--r-- 1 root root 217276 Jan 12 17:02 00808.png\n-rw-r--r-- 1 root root 217362 Jan 12 17:02 00809.png\n-rw-r--r-- 1 root root 217150 Jan 12 17:02 00810.png\n-rw-r--r-- 1 root root 217795 Jan 12 17:02 00811.png\n-rw-r--r-- 1 root root 216794 Jan 12 17:02 00812.png\n-rw-r--r-- 1 root root 216811 Jan 12 17:02 00813.png\n-rw-r--r-- 1 root root 217236 Jan 12 17:02 00814.png\n-rw-r--r-- 1 root root 216614 Jan 12 17:02 00815.png\n-rw-r--r-- 1 root root 217153 Jan 12 17:02 00816.png\n-rw-r--r-- 1 root root 217524 Jan 12 17:02 00817.png\n-rw-r--r-- 1 root root 216945 Jan 12 17:02 00818.png\n-rw-r--r-- 1 root root 216136 Jan 12 17:02 00819.png\n-rw-r--r-- 1 root root 216186 Jan 12 17:02 00820.png\n-rw-r--r-- 1 root root 217293 Jan 12 17:02 00821.png\n-rw-r--r-- 1 root root 216483 Jan 12 17:02 00822.png\n-rw-r--r-- 1 root root 216033 Jan 12 17:02 00823.png\n-rw-r--r-- 1 root root 216703 Jan 12 17:02 00824.png\n-rw-r--r-- 1 root root 216396 Jan 12 17:02 00825.png\n-rw-r--r-- 1 root root 216615 Jan 12 17:02 00826.png\n-rw-r--r-- 1 root root 216289 Jan 12 17:02 00827.png\n-rw-r--r-- 1 root root 217022 Jan 12 17:02 00828.png\n-rw-r--r-- 1 root root 216279 Jan 12 17:02 00829.png\n-rw-r--r-- 1 root root 216261 Jan 12 17:02 00830.png\n-rw-r--r-- 1 root root 216046 Jan 12 17:02 00831.png\n-rw-r--r-- 1 root root 216433 Jan 12 17:02 00832.png\n-rw-r--r-- 1 root root 216938 Jan 12 17:02 00833.png\n-rw-r--r-- 1 root root 216342 Jan 12 17:02 00834.png\n-rw-r--r-- 1 root root 216681 Jan 12 17:02 00835.png\n-rw-r--r-- 1 root root 216452 Jan 12 17:02 00836.png\n-rw-r--r-- 1 root root 216655 Jan 12 17:02 00837.png\n-rw-r--r-- 1 root root 216680 Jan 12 17:02 00838.png\n-rw-r--r-- 1 root root 216940 Jan 12 17:02 00839.png\n-rw-r--r-- 1 root root 216852 Jan 12 17:02 00840.png\n-rw-r--r-- 1 root root 216746 Jan 12 17:02 00841.png\n-rw-r--r-- 1 root root 216829 Jan 12 17:02 00842.png\n-rw-r--r-- 1 root root 217249 Jan 12 17:02 00843.png\n-rw-r--r-- 1 root root 217007 Jan 12 17:02 00844.png\n-rw-r--r-- 1 root root 215972 Jan 12 17:02 00845.png\n-rw-r--r-- 1 root root 216597 Jan 12 17:02 00846.png\n-rw-r--r-- 1 root root 216615 Jan 12 17:02 00847.png\n-rw-r--r-- 1 root root 218442 Jan 12 17:02 00848.png\n-rw-r--r-- 1 root root 216681 Jan 12 17:02 00849.png\n-rw-r--r-- 1 root root 217423 Jan 12 17:02 00850.png\n-rw-r--r-- 1 root root 219029 Jan 12 17:02 00851.png\n-rw-r--r-- 1 root root 217870 Jan 12 17:02 00852.png\n-rw-r--r-- 1 root root 218432 Jan 12 17:02 00853.png\n-rw-r--r-- 1 root root 219722 Jan 12 17:02 00854.png\n-rw-r--r-- 1 root root 219233 Jan 12 17:02 00855.png\n-rw-r--r-- 1 root root 221005 Jan 12 17:02 00856.png\n-rw-r--r-- 1 root root 221249 Jan 12 17:02 00857.png\n-rw-r--r-- 1 root root 220156 Jan 12 17:02 00858.png\n-rw-r--r-- 1 root root 221088 Jan 12 17:02 00859.png\n-rw-r--r-- 1 root root 220097 Jan 12 17:02 00860.png\n-rw-r--r-- 1 root root 221348 Jan 12 17:02 00861.png\n-rw-r--r-- 1 root root 221866 Jan 12 17:02 00862.png\n-rw-r--r-- 1 root root 221579 Jan 12 17:02 00863.png\n-rw-r--r-- 1 root root 221798 Jan 12 17:02 00864.png\n-rw-r--r-- 1 root root 221888 Jan 12 17:02 00865.png\n-rw-r--r-- 1 root root 222539 Jan 12 17:02 00866.png\n-rw-r--r-- 1 root root 222188 Jan 12 17:02 00867.png\n-rw-r--r-- 1 root root 221676 Jan 12 17:02 00868.png\n-rw-r--r-- 1 root root 222172 Jan 12 17:02 00869.png\n-rw-r--r-- 1 root root 222036 Jan 12 17:02 00870.png\n-rw-r--r-- 1 root root 222006 Jan 12 17:02 00871.png\n-rw-r--r-- 1 root root 222327 Jan 12 17:02 00872.png\n-rw-r--r-- 1 root root 222522 Jan 12 17:02 00873.png\n-rw-r--r-- 1 root root 222578 Jan 12 17:02 00874.png\n-rw-r--r-- 1 root root 222344 Jan 12 17:02 00875.png\n-rw-r--r-- 1 root root 223141 Jan 12 17:02 00876.png\n-rw-r--r-- 1 root root 223156 Jan 12 17:02 00877.png\n-rw-r--r-- 1 root root 223008 Jan 12 17:02 00878.png\n-rw-r--r-- 1 root root 223003 Jan 12 17:02 00879.png\n-rw-r--r-- 1 root root 223516 Jan 12 17:02 00880.png\n-rw-r--r-- 1 root root 223257 Jan 12 17:02 00881.png\n-rw-r--r-- 1 root root 223657 Jan 12 17:02 00882.png\n-rw-r--r-- 1 root root 222867 Jan 12 17:02 00883.png\n-rw-r--r-- 1 root root 223521 Jan 12 17:02 00884.png\n-rw-r--r-- 1 root root 222747 Jan 12 17:02 00885.png\n-rw-r--r-- 1 root root 223399 Jan 12 17:02 00886.png\n-rw-r--r-- 1 root root 222954 Jan 12 17:02 00887.png\n-rw-r--r-- 1 root root 222732 Jan 12 17:02 00888.png\n-rw-r--r-- 1 root root 222803 Jan 12 17:02 00889.png\n-rw-r--r-- 1 root root 222813 Jan 12 17:02 00890.png\n-rw-r--r-- 1 root root 223492 Jan 12 17:02 00891.png\n-rw-r--r-- 1 root root 223236 Jan 12 17:02 00892.png\n-rw-r--r-- 1 root root 223236 Jan 12 17:02 00893.png\n-rw-r--r-- 1 root root 223135 Jan 12 17:02 00894.png\n-rw-r--r-- 1 root root 223523 Jan 12 17:02 00895.png\n-rw-r--r-- 1 root root 223452 Jan 12 17:02 00896.png\n-rw-r--r-- 1 root root 223678 Jan 12 17:02 00897.png\n-rw-r--r-- 1 root root 223315 Jan 12 17:02 00898.png\n-rw-r--r-- 1 root root 223553 Jan 12 17:02 00899.png\n-rw-r--r-- 1 root root 223251 Jan 12 17:02 00900.png\n-rw-r--r-- 1 root root 223241 Jan 12 17:02 00901.png\n-rw-r--r-- 1 root root 223919 Jan 12 17:02 00902.png\n-rw-r--r-- 1 root root 222847 Jan 12 17:02 00903.png\n-rw-r--r-- 1 root root 223253 Jan 12 17:02 00904.png\n-rw-r--r-- 1 root root 222965 Jan 12 17:02 00905.png\n-rw-r--r-- 1 root root 221595 Jan 12 17:02 00906.png\n-rw-r--r-- 1 root root 220546 Jan 12 17:02 00907.png\n-rw-r--r-- 1 root root 221554 Jan 12 17:02 00908.png\n-rw-r--r-- 1 root root 223267 Jan 12 17:02 00909.png\n-rw-r--r-- 1 root root 223409 Jan 12 17:02 00910.png\n-rw-r--r-- 1 root root 223294 Jan 12 17:02 00911.png\n-rw-r--r-- 1 root root 223496 Jan 12 17:03 00912.png\n-rw-r--r-- 1 root root 223613 Jan 12 17:03 00913.png\n-rw-r--r-- 1 root root 223928 Jan 12 17:03 00914.png\n-rw-r--r-- 1 root root 224027 Jan 12 17:03 00915.png\n-rw-r--r-- 1 root root 222927 Jan 12 17:03 00916.png\n-rw-r--r-- 1 root root 222701 Jan 12 17:03 00917.png\n-rw-r--r-- 1 root root 222500 Jan 12 17:03 00918.png\n-rw-r--r-- 1 root root 222653 Jan 12 17:03 00919.png\n-rw-r--r-- 1 root root 221848 Jan 12 17:03 00920.png\n-rw-r--r-- 1 root root 222627 Jan 12 17:03 00921.png\n-rw-r--r-- 1 root root 221927 Jan 12 17:03 00922.png\n-rw-r--r-- 1 root root 222724 Jan 12 17:03 00923.png\n-rw-r--r-- 1 root root 223251 Jan 12 17:03 00924.png\n-rw-r--r-- 1 root root 223419 Jan 12 17:03 00925.png\n-rw-r--r-- 1 root root 223309 Jan 12 17:03 00926.png\n-rw-r--r-- 1 root root 225434 Jan 12 17:03 00927.png\n-rw-r--r-- 1 root root 224783 Jan 12 17:03 00928.png\n-rw-r--r-- 1 root root 225481 Jan 12 17:03 00929.png\n-rw-r--r-- 1 root root 225234 Jan 12 17:03 00930.png\n-rw-r--r-- 1 root root 225420 Jan 12 17:03 00931.png\n-rw-r--r-- 1 root root 225406 Jan 12 17:03 00932.png\n-rw-r--r-- 1 root root 224335 Jan 12 17:03 00933.png\n-rw-r--r-- 1 root root 224667 Jan 12 17:03 00934.png\nffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers\nbuilt with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1)\nconfiguration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\nlibavutil 56. 31.100 / 56. 31.100\nlibavcodec 58. 54.100 / 58. 54.100\nlibavformat 58. 29.100 / 58. 29.100\nlibavdevice 58. 8.100 / 58. 8.100\nlibavfilter 7. 57.100 / 7. 57.100\nlibavresample 4. 0. 0 / 4. 0. 0\nlibswscale 5. 5.100 / 5. 5.100\nlibswresample 3. 5.100 / 3. 5.100\nlibpostproc 55. 5.100 / 55. 5.100\n[image2 @ 0x55800bb6c6c0] Pattern type 'glob_sequence' is deprecated: use pattern_type 'glob' instead\nInput #0, image2, from './outputs/%*.png':\nDuration: 00:00:37.40, start: 0.000000, bitrate: N/A\nStream #0:0: Video: png, rgb24(pc), 384x512, 25 fps, 25 tbr, 25 tbn, 25 tbc\nGuessed Channel Layout for Input Stream #1.0 : stereo\nInput #1, aiff, from '/tmp/tmpdifwcsb9ushuaia.aif':\nDuration: 00:01:02.29, start: 0.000000, bitrate: 1411 kb/s\nStream #1:0: Audio: pcm_s16be, 44100 Hz, stereo, s16, 1411 kb/s\nStream mapping:\nStream #0:0 -> #0:0 (png (native) -> h264 (libx264))\nStream #1:0 -> #0:1 (pcm_s16be (native) -> aac (native))\nPress [q] to stop, [?] for help\n[image2 @ 0x55800bb6c6c0] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8)\n[libx264 @ 0x55800bbc1200] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x55800bbc1200] profile High, level 2.1\n[libx264 @ 0x55800bbc1200] 264 - core 155 r2917 0a84d98 - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=15 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\nOutput #0, mp4, to '/tmp/z_interpollation.mp4':\nMetadata:\nencoder : Lavf58.29.100\nStream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p(progressive), 384x512, q=-1--1, 15 fps, 15360 tbn, 15 tbc\nMetadata:\nencoder : Lavc58.54.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1\nStream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s\nMetadata:\nencoder : Lavc58.54.100 aac\nframe= 118 fps=0.0 q=24.0 size= 256kB time=00:00:03.00 bitrate= 699.2kbits/s speed=5.94x\nframe= 208 fps=207 q=24.0 size= 512kB time=00:00:09.00 bitrate= 466.1kbits/s speed=8.95x\nframe= 304 fps=202 q=24.0 size= 1024kB time=00:00:15.44 bitrate= 543.3kbits/s speed=10.3x\nframe= 426 fps=212 q=24.0 size= 1280kB time=00:00:23.56 bitrate= 444.9kbits/s speed=11.7x\nframe= 536 fps=214 q=24.0 size= 1792kB time=00:00:30.86 bitrate= 475.6kbits/s speed=12.3x\nframe= 639 fps=213 q=24.0 size= 2048kB time=00:00:37.77 bitrate= 444.1kbits/s speed=12.6x\nframe= 746 fps=212 q=24.0 size= 2560kB time=00:00:44.86 bitrate= 467.4kbits/s speed=12.8x\nframe= 846 fps=211 q=24.0 size= 2816kB time=00:00:51.53 bitrate= 447.7kbits/s speed=12.8x\n[mp4 @ 0x55800bbbfd40] Starting second pass: moving the moov atom to the beginning of the file\nframe= 935 fps=199 q=-1.0 Lsize= 3457kB time=00:01:02.29 bitrate= 454.6kbits/s speed=13.2x\nvideo:2441kB audio:984kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.955053%\n[libx264 @ 0x55800bbc1200] frame I:4 Avg QP:18.01 size: 13405\n[libx264 @ 0x55800bbc1200] frame P:248 Avg QP:20.39 size: 4380\n[libx264 @ 0x55800bbc1200] frame B:683 Avg QP:23.34 size: 1989\n[libx264 @ 0x55800bbc1200] consecutive B-frames: 0.7% 2.6% 9.0% 87.7%\n[libx264 @ 0x55800bbc1200] mb I I16..4: 29.1% 47.4% 23.5%\n[libx264 @ 0x55800bbc1200] mb P I16..4: 3.7% 3.7% 0.8% P16..4: 53.6% 17.0% 9.3% 0.0% 0.0% skip:11.8%\n[libx264 @ 0x55800bbc1200] mb B I16..4: 1.4% 1.1% 0.3% B16..8: 42.2% 10.2% 1.9% direct: 4.7% skip:38.2% L0:51.4% L1:41.2% BI: 7.4%\n[libx264 @ 0x55800bbc1200] 8x8 transform intra:42.7% inter:65.5%\n[libx264 @ 0x55800bbc1200] direct mvs spatial:98.8% temporal:1.2%\n[libx264 @ 0x55800bbc1200] coded y,uvDC,uvAC intra: 31.3% 65.0% 31.2% inter: 12.1% 34.2% 3.8%\n[libx264 @ 0x55800bbc1200] i16 v,h,dc,p: 11% 38% 4% 47%\n[libx264 @ 0x55800bbc1200] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 24% 19% 6% 10% 6% 13% 6% 7%\n[libx264 @ 0x55800bbc1200] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 19% 24% 17% 5% 10% 7% 9% 4% 5%\n[libx264 @ 0x55800bbc1200] i8c dc,h,v,p: 30% 42% 14% 14%\n[libx264 @ 0x55800bbc1200] Weighted P-Frames: Y:1.6% UV:1.6%\n[libx264 @ 0x55800bbc1200] ref P L0: 34.3% 4.5% 20.4% 27.2% 13.0% 0.6%\n[libx264 @ 0x55800bbc1200] ref B L0: 55.1% 21.8% 12.4% 10.7%\n[libx264 @ 0x55800bbc1200] ref B L1: 89.1% 10.9%\n[libx264 @ 0x55800bbc1200] kb/s:320.68\n[aac @ 0x55800bbc2900] Qavg: 180.066\nThu Jan 12 17:03:08 2023\n+-----------------------------------------------------------------------------+\n| NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 |\n|-------------------------------+----------------------+----------------------+\n| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n| | | MIG M. |\n|===============================+======================+======================|\n| 0 NVIDIA A100-SXM... Off | 00000000:00:04.0 Off | 0 |\n| N/A 40C P0 54W / 400W | 40372MiB / 40960MiB | 0% Default |\n| | | Disabled |\n+-------------------------------+----------------------+----------------------+\n+-----------------------------------------------------------------------------+\n| Processes: |\n| GPU GI CI PID Type Process name GPU Memory |\n| ID ID Usage |\n|=============================================================================|\n| 0 N/A N/A 196073 C 40369MiB |\n+-----------------------------------------------------------------------------+\ntotal time 371.6371490955353", "metrics": { "predict_time": 378.096842, "total_time": 514.280045 }, "output": "https://replicate.delivery/pbxt/wOXLDowaoko2BJOnEDYaUqlnkYpj2K02Wy7pOWW4dBLTv3EE/z_interpollation.mp4", "started_at": "2023-01-12T16:56:50.962665Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bl33ma7qx5bgxb5zohdqbboq2m", "cancel": "https://api.replicate.com/v1/predictions/bl33ma7qx5bgxb5zohdqbboq2m/cancel" }, "version": "bb2e761c9b723f0ba6911e6ad87d2e14ac205e21af80ea614813b4b62bfb7893" }
Generated intranslated prompts ['Robot with headphones listening to music, lowbrow, hd', 'Android with headphones listening to music, lowbrow, hd'] using audio file /tmp/tmpdifwcsb9ushuaia.aif hop length 1470 audio length 1373497 audio sr 22050 length of audio intensities 935 num frames per prompt 935 embedding prompts Global seed set to 13 prompt 0 shape torch.Size([1, 77, 768]) len smoothed_audio_intensities 935 len interpolated_prompts 935 interp prompts 0 shape torch.Size([1, 77, 768]) start_codes 0 shape torch.Size([1, 4, 64, 48]) data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:05<00:46, 5.21s/it] 20%|██ | 2/10 [00:05<00:19, 2.41s/it] 30%|███ | 3/10 [00:06<00:11, 1.59s/it] 40%|████ | 4/10 [00:06<00:07, 1.21s/it] 50%|█████ | 5/10 [00:07<00:04, 1.01it/s] 60%|██████ | 6/10 [00:08<00:03, 1.16it/s] 70%|███████ | 7/10 [00:08<00:02, 1.28it/s] 80%|████████ | 8/10 [00:09<00:01, 1.37it/s] 90%|█████████ | 9/10 [00:09<00:00, 1.44it/s] 100%|██████████| 10/10 [00:10<00:00, 1.49it/s] 100%|██████████| 10/10 [00:10<00:00, 1.06s/it] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00000.png Saved ./outputs/00001.png Saved ./outputs/00002.png Saved ./outputs/00003.png Saved ./outputs/00004.png Saved ./outputs/00005.png Saved ./outputs/00006.png Saved ./outputs/00007.png Saved ./outputs/00008.png Saved ./outputs/00009.png Saved ./outputs/00010.png Saved ./outputs/00011.png Saved ./outputs/00012.png Saved ./outputs/00013.png Saved ./outputs/00014.png Saved ./outputs/00015.png Saved ./outputs/00016.png Saved ./outputs/00017.png Saved ./outputs/00018.png Saved ./outputs/00019.png Saved ./outputs/00020.png Saved ./outputs/00021.png Saved ./outputs/00022.png Saved ./outputs/00023.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.89it/s] 20%|██ | 2/10 [00:00<00:03, 2.14it/s] 30%|███ | 3/10 [00:01<00:03, 1.87it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00024.png Saved ./outputs/00025.png Saved ./outputs/00026.png Saved ./outputs/00027.png Saved ./outputs/00028.png Saved ./outputs/00029.png Saved ./outputs/00030.png Saved ./outputs/00031.png Saved ./outputs/00032.png Saved ./outputs/00033.png Saved ./outputs/00034.png Saved ./outputs/00035.png Saved ./outputs/00036.png Saved ./outputs/00037.png Saved ./outputs/00038.png Saved ./outputs/00039.png Saved ./outputs/00040.png Saved ./outputs/00041.png Saved ./outputs/00042.png Saved ./outputs/00043.png Saved ./outputs/00044.png Saved ./outputs/00045.png Saved ./outputs/00046.png Saved ./outputs/00047.png data_batch torch.Size([24, 77, 768]) start_code_batchtorch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.90it/s] 20%|██ | 2/10 [00:00<00:03, 2.14it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00048.png Saved ./outputs/00049.png Saved ./outputs/00050.png Saved ./outputs/00051.png Saved ./outputs/00052.png Saved ./outputs/00053.png Saved ./outputs/00054.png Saved ./outputs/00055.png Saved ./outputs/00056.png Saved ./outputs/00057.png Saved ./outputs/00058.png Saved ./outputs/00059.png Saved ./outputs/00060.png Saved ./outputs/00061.png Saved ./outputs/00062.png Saved ./outputs/00063.png Saved ./outputs/00064.png Saved ./outputs/00065.png Saved ./outputs/00066.png Saved ./outputs/00067.png Saved ./outputs/00068.png Saved ./outputs/00069.png Saved ./outputs/00070.png Saved ./outputs/00071.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.75it/s] 20%|██ | 2/10 [00:00<00:03, 2.12it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00072.png Saved ./outputs/00073.png Saved ./outputs/00074.png Saved ./outputs/00075.png Saved ./outputs/00076.png Saved ./outputs/00077.png Saved ./outputs/00078.png Saved ./outputs/00079.png Saved ./outputs/00080.png Saved ./outputs/00081.png Saved ./outputs/00082.png Saved ./outputs/00083.png Saved ./outputs/00084.png Saved ./outputs/00085.png Saved ./outputs/00086.png Saved ./outputs/00087.png Saved ./outputs/00088.png Saved ./outputs/00089.png Saved ./outputs/00090.png Saved ./outputs/00091.png Saved ./outputs/00092.png Saved ./outputs/00093.png Saved ./outputs/00094.png Saved ./outputs/00095.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.88it/s] 20%|██ | 2/10 [00:00<00:03, 2.12it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00096.png Saved ./outputs/00097.png Saved ./outputs/00098.png Saved ./outputs/00099.png Saved ./outputs/00100.png Saved ./outputs/00101.png Saved ./outputs/00102.png Saved ./outputs/00103.png Saved ./outputs/00104.png Saved ./outputs/00105.png Saved ./outputs/00106.png Saved ./outputs/00107.png Saved ./outputs/00108.png Saved ./outputs/00109.png Saved ./outputs/00110.png Saved ./outputs/00111.png Saved ./outputs/00112.png Saved ./outputs/00113.png Saved ./outputs/00114.png Saved ./outputs/00115.png Saved ./outputs/00116.png Saved ./outputs/00117.png Saved ./outputs/00118.png Saved ./outputs/00119.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.83it/s] 20%|██ | 2/10 [00:00<00:03, 2.13it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00120.png Saved ./outputs/00121.png Saved ./outputs/00122.png Saved ./outputs/00123.png Saved ./outputs/00124.png Saved ./outputs/00125.png Saved ./outputs/00126.png Saved ./outputs/00127.png Saved ./outputs/00128.png Saved ./outputs/00129.png Saved ./outputs/00130.png Saved ./outputs/00131.png Saved ./outputs/00132.png Saved ./outputs/00133.png Saved ./outputs/00134.png Saved ./outputs/00135.png Saved ./outputs/00136.png Saved ./outputs/00137.png Saved ./outputs/00138.png Saved ./outputs/00139.png Saved ./outputs/00140.png Saved ./outputs/00141.png Saved ./outputs/00142.png Saved ./outputs/00143.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.68it/s] 20%|██ | 2/10 [00:00<00:03, 2.11it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00144.png Saved ./outputs/00145.png Saved ./outputs/00146.png Saved ./outputs/00147.png Saved ./outputs/00148.png Saved ./outputs/00149.png Saved ./outputs/00150.png Saved ./outputs/00151.png Saved ./outputs/00152.png Saved ./outputs/00153.png Saved ./outputs/00154.png Saved ./outputs/00155.png Saved ./outputs/00156.png Saved ./outputs/00157.png Saved ./outputs/00158.png Saved ./outputs/00159.png Saved ./outputs/00160.png Saved ./outputs/00161.png Saved ./outputs/00162.png Saved ./outputs/00163.png Saved ./outputs/00164.png Saved ./outputs/00165.png Saved ./outputs/00166.png Saved ./outputs/00167.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.94it/s] 20%|██ | 2/10 [00:00<00:03, 2.14it/s] 30%|███ | 3/10 [00:01<00:03, 1.87it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00168.png Saved ./outputs/00169.png Saved ./outputs/00170.png Saved ./outputs/00171.png Saved ./outputs/00172.png Saved ./outputs/00173.png Saved ./outputs/00174.png Saved ./outputs/00175.png Saved ./outputs/00176.png Saved ./outputs/00177.png Saved ./outputs/00178.png Saved ./outputs/00179.png Saved ./outputs/00180.png Saved ./outputs/00181.png Saved ./outputs/00182.png Saved ./outputs/00183.png Saved ./outputs/00184.png Saved ./outputs/00185.png Saved ./outputs/00186.png Saved ./outputs/00187.png Saved ./outputs/00188.png Saved ./outputs/00189.png Saved ./outputs/00190.png Saved ./outputs/00191.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.71it/s] 20%|██ | 2/10 [00:00<00:03, 2.11it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00192.png Saved ./outputs/00193.png Saved ./outputs/00194.png Saved ./outputs/00195.png Saved ./outputs/00196.png Saved ./outputs/00197.png Saved ./outputs/00198.png Saved ./outputs/00199.png Saved ./outputs/00200.png Saved ./outputs/00201.png Saved ./outputs/00202.png Saved ./outputs/00203.png Saved ./outputs/00204.png Saved ./outputs/00205.png Saved ./outputs/00206.png Saved ./outputs/00207.png Saved ./outputs/00208.png Saved ./outputs/00209.png Saved ./outputs/00210.png Saved ./outputs/00211.png Saved ./outputs/00212.png Saved ./outputs/00213.png Saved ./outputs/00214.png Saved ./outputs/00215.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.81it/s] 20%|██ | 2/10 [00:00<00:03, 2.12it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00216.png Saved ./outputs/00217.png Saved ./outputs/00218.png Saved ./outputs/00219.png Saved ./outputs/00220.png Saved ./outputs/00221.png Saved ./outputs/00222.png Saved ./outputs/00223.png Saved ./outputs/00224.png Saved ./outputs/00225.png Saved ./outputs/00226.png Saved ./outputs/00227.png Saved ./outputs/00228.png Saved ./outputs/00229.png Saved ./outputs/00230.png Saved ./outputs/00231.png Saved ./outputs/00232.png Saved ./outputs/00233.png Saved ./outputs/00234.png Saved ./outputs/00235.png Saved ./outputs/00236.png Saved ./outputs/00237.png Saved ./outputs/00238.png Saved ./outputs/00239.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.93it/s] 20%|██ | 2/10 [00:00<00:03, 2.14it/s] 30%|███ | 3/10 [00:01<00:03, 1.87it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00240.png Saved ./outputs/00241.png Saved ./outputs/00242.png Saved ./outputs/00243.png Saved ./outputs/00244.png Saved ./outputs/00245.png Saved ./outputs/00246.png Saved ./outputs/00247.png Saved ./outputs/00248.png Saved ./outputs/00249.png Saved ./outputs/00250.png Saved ./outputs/00251.png Saved ./outputs/00252.png Saved ./outputs/00253.png Saved ./outputs/00254.png Saved ./outputs/00255.png Saved ./outputs/00256.png Saved ./outputs/00257.png Saved ./outputs/00258.png Saved ./outputs/00259.png Saved ./outputs/00260.png Saved ./outputs/00261.png Saved ./outputs/00262.png Saved ./outputs/00263.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.69it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.65it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.71it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00264.png Saved ./outputs/00265.png Saved ./outputs/00266.png Saved ./outputs/00267.png Saved ./outputs/00268.png Saved ./outputs/00269.png Saved ./outputs/00270.png Saved ./outputs/00271.png Saved ./outputs/00272.png Saved ./outputs/00273.png Saved ./outputs/00274.png Saved ./outputs/00275.png Saved ./outputs/00276.png Saved ./outputs/00277.png Saved ./outputs/00278.png Saved ./outputs/00279.png Saved ./outputs/00280.png Saved ./outputs/00281.png Saved ./outputs/00282.png Saved ./outputs/00283.png Saved ./outputs/00284.png Saved ./outputs/00285.png Saved ./outputs/00286.png Saved ./outputs/00287.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.65it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.65it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.71it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00288.png Saved ./outputs/00289.png Saved ./outputs/00290.png Saved ./outputs/00291.png Saved ./outputs/00292.png Saved ./outputs/00293.png Saved ./outputs/00294.png Saved ./outputs/00295.png Saved ./outputs/00296.png Saved ./outputs/00297.png Saved ./outputs/00298.png Saved ./outputs/00299.png Saved ./outputs/00300.png Saved ./outputs/00301.png Saved ./outputs/00302.png Saved ./outputs/00303.png Saved ./outputs/00304.png Saved ./outputs/00305.png Saved ./outputs/00306.png Saved ./outputs/00307.png Saved ./outputs/00308.png Saved ./outputs/00309.png Saved ./outputs/00310.png Saved ./outputs/00311.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.63it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.65it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.71it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00312.png Saved ./outputs/00313.png Saved ./outputs/00314.png Saved ./outputs/00315.png Saved ./outputs/00316.png Saved ./outputs/00317.png Saved ./outputs/00318.png Saved ./outputs/00319.png Saved ./outputs/00320.png Saved ./outputs/00321.png Saved ./outputs/00322.png Saved ./outputs/00323.png Saved ./outputs/00324.png Saved ./outputs/00325.png Saved ./outputs/00326.png Saved ./outputs/00327.png Saved ./outputs/00328.png Saved ./outputs/00329.png Saved ./outputs/00330.png Saved ./outputs/00331.png Saved ./outputs/00332.png Saved ./outputs/00333.png Saved ./outputs/00334.png Saved ./outputs/00335.png data_batch torch.Size([24, 77, 768]) start_code_batchtorch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.77it/s] 20%|██ | 2/10 [00:00<00:03, 2.12it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00336.png Saved ./outputs/00337.png Saved ./outputs/00338.png Saved ./outputs/00339.png Saved ./outputs/00340.png Saved ./outputs/00341.png Saved ./outputs/00342.png Saved ./outputs/00343.png Saved ./outputs/00344.png Saved ./outputs/00345.png Saved ./outputs/00346.png Saved ./outputs/00347.png Saved ./outputs/00348.png Saved ./outputs/00349.png Saved ./outputs/00350.png Saved ./outputs/00351.png Saved ./outputs/00352.png Saved ./outputs/00353.png Saved ./outputs/00354.png Saved ./outputs/00355.png Saved ./outputs/00356.png Saved ./outputs/00357.png Saved ./outputs/00358.png Saved ./outputs/00359.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.95it/s] 20%|██ | 2/10 [00:00<00:03, 2.14it/s] 30%|███ | 3/10 [00:01<00:03, 1.87it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00360.png Saved ./outputs/00361.png Saved ./outputs/00362.png Saved ./outputs/00363.png Saved ./outputs/00364.png Saved ./outputs/00365.png Saved ./outputs/00366.png Saved ./outputs/00367.png Saved ./outputs/00368.png Saved ./outputs/00369.png Saved ./outputs/00370.png Saved ./outputs/00371.png Saved ./outputs/00372.png Saved ./outputs/00373.png Saved ./outputs/00374.png Saved ./outputs/00375.png Saved ./outputs/00376.png Saved ./outputs/00377.png Saved ./outputs/00378.png Saved ./outputs/00379.png Saved ./outputs/00380.png Saved ./outputs/00381.png Saved ./outputs/00382.png Saved ./outputs/00383.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.80it/s] 20%|██ | 2/10 [00:00<00:03, 2.12it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00384.png Saved ./outputs/00385.png Saved ./outputs/00386.png Saved ./outputs/00387.png Saved ./outputs/00388.png Saved ./outputs/00389.png Saved ./outputs/00390.png Saved ./outputs/00391.png Saved ./outputs/00392.png Saved ./outputs/00393.png Saved ./outputs/00394.png Saved ./outputs/00395.png Saved ./outputs/00396.png Saved ./outputs/00397.png Saved ./outputs/00398.png Saved ./outputs/00399.png Saved ./outputs/00400.png Saved ./outputs/00401.png Saved ./outputs/00402.png Saved ./outputs/00403.png Saved ./outputs/00404.png Saved ./outputs/00405.png Saved ./outputs/00406.png Saved ./outputs/00407.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.70it/s] 20%|██ | 2/10 [00:00<00:03, 2.11it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00408.png Saved ./outputs/00409.png Saved ./outputs/00410.png Saved ./outputs/00411.png Saved ./outputs/00412.png Saved ./outputs/00413.png Saved ./outputs/00414.png Saved ./outputs/00415.png Saved ./outputs/00416.png Saved ./outputs/00417.png Saved ./outputs/00418.png Saved ./outputs/00419.png Saved ./outputs/00420.png Saved ./outputs/00421.png Saved ./outputs/00422.png Saved ./outputs/00423.png Saved ./outputs/00424.png Saved ./outputs/00425.png Saved ./outputs/00426.png Saved ./outputs/00427.png Saved ./outputs/00428.png Saved ./outputs/00429.png Saved ./outputs/00430.png Saved ./outputs/00431.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.66it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.65it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.71it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00432.png Saved ./outputs/00433.png Saved ./outputs/00434.png Saved ./outputs/00435.png Saved ./outputs/00436.png Saved ./outputs/00437.png Saved ./outputs/00438.png Saved ./outputs/00439.png Saved ./outputs/00440.png Saved ./outputs/00441.png Saved ./outputs/00442.png Saved ./outputs/00443.png Saved ./outputs/00444.png Saved ./outputs/00445.png Saved ./outputs/00446.png Saved ./outputs/00447.png Saved ./outputs/00448.png Saved ./outputs/00449.png Saved ./outputs/00450.png Saved ./outputs/00451.png Saved ./outputs/00452.png Saved ./outputs/00453.png Saved ./outputs/00454.png Saved ./outputs/00455.png data_batch torch.Size([24, 77, 768])start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.74it/s] 20%|██ | 2/10 [00:00<00:03, 2.11it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00456.png Saved ./outputs/00457.png Saved ./outputs/00458.png Saved ./outputs/00459.png Saved ./outputs/00460.png Saved ./outputs/00461.png Saved ./outputs/00462.png Saved ./outputs/00463.png Saved ./outputs/00464.png Saved ./outputs/00465.png Saved ./outputs/00466.png Saved ./outputs/00467.png Saved ./outputs/00468.png Saved ./outputs/00469.png Saved ./outputs/00470.png Saved ./outputs/00471.png Saved ./outputs/00472.png Saved ./outputs/00473.png Saved ./outputs/00474.png Saved ./outputs/00475.png Saved ./outputs/00476.png Saved ./outputs/00477.png Saved ./outputs/00478.png Saved ./outputs/00479.png data_batch torch.Size([24, 77, 768]) start_code_batchtorch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.74it/s] 20%|██ | 2/10 [00:00<00:03, 2.13it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00480.png Saved ./outputs/00481.png Saved ./outputs/00482.png Saved ./outputs/00483.png Saved ./outputs/00484.png Saved ./outputs/00485.png Saved ./outputs/00486.png Saved ./outputs/00487.png Saved ./outputs/00488.png Saved ./outputs/00489.png Saved ./outputs/00490.png Saved ./outputs/00491.png Saved ./outputs/00492.png Saved ./outputs/00493.png Saved ./outputs/00494.png Saved ./outputs/00495.png Saved ./outputs/00496.png Saved ./outputs/00497.png Saved ./outputs/00498.png Saved ./outputs/00499.png Saved ./outputs/00500.png Saved ./outputs/00501.png Saved ./outputs/00502.png Saved ./outputs/00503.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.63it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.65it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.71it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00504.png Saved ./outputs/00505.png Saved ./outputs/00506.png Saved ./outputs/00507.png Saved ./outputs/00508.png Saved ./outputs/00509.png Saved ./outputs/00510.png Saved ./outputs/00511.png Saved ./outputs/00512.png Saved ./outputs/00513.png Saved ./outputs/00514.png Saved ./outputs/00515.png Saved ./outputs/00516.png Saved ./outputs/00517.png Saved ./outputs/00518.png Saved ./outputs/00519.png Saved ./outputs/00520.png Saved ./outputs/00521.png Saved ./outputs/00522.png Saved ./outputs/00523.png Saved ./outputs/00524.png Saved ./outputs/00525.png Saved ./outputs/00526.png Saved ./outputs/00527.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.90it/s] 20%|██ | 2/10 [00:00<00:03, 2.14it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00528.png Saved ./outputs/00529.png Saved ./outputs/00530.png Saved ./outputs/00531.png Saved ./outputs/00532.png Saved ./outputs/00533.png Saved ./outputs/00534.png Saved ./outputs/00535.png Saved ./outputs/00536.png Saved ./outputs/00537.png Saved ./outputs/00538.png Saved ./outputs/00539.png Saved ./outputs/00540.png Saved ./outputs/00541.png Saved ./outputs/00542.png Saved ./outputs/00543.png Saved ./outputs/00544.png Saved ./outputs/00545.png Saved ./outputs/00546.png Saved ./outputs/00547.png Saved ./outputs/00548.png Saved ./outputs/00549.png Saved ./outputs/00550.png Saved ./outputs/00551.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.79it/s] 20%|██ | 2/10 [00:00<00:03, 2.12it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00552.png Saved ./outputs/00553.png Saved ./outputs/00554.png Saved ./outputs/00555.png Saved ./outputs/00556.png Saved ./outputs/00557.png Saved ./outputs/00558.png Saved ./outputs/00559.png Saved ./outputs/00560.png Saved ./outputs/00561.png Saved ./outputs/00562.png Saved ./outputs/00563.png Saved ./outputs/00564.png Saved ./outputs/00565.png Saved ./outputs/00566.png Saved ./outputs/00567.png Saved ./outputs/00568.png Saved ./outputs/00569.png Saved ./outputs/00570.png Saved ./outputs/00571.png Saved ./outputs/00572.png Saved ./outputs/00573.png Saved ./outputs/00574.png Saved ./outputs/00575.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.82it/s] 20%|██ | 2/10 [00:00<00:03, 2.13it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00576.png Saved ./outputs/00577.png Saved ./outputs/00578.png Saved ./outputs/00579.png Saved ./outputs/00580.png Saved ./outputs/00581.png Saved ./outputs/00582.png Saved ./outputs/00583.png Saved ./outputs/00584.png Saved ./outputs/00585.png Saved ./outputs/00586.png Saved ./outputs/00587.png Saved ./outputs/00588.png Saved ./outputs/00589.png Saved ./outputs/00590.png Saved ./outputs/00591.png Saved ./outputs/00592.png Saved ./outputs/00593.png Saved ./outputs/00594.png Saved ./outputs/00595.png Saved ./outputs/00596.png Saved ./outputs/00597.png Saved ./outputs/00598.png Saved ./outputs/00599.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.94it/s] 20%|██ | 2/10 [00:00<00:03, 2.14it/s] 30%|███ | 3/10 [00:01<00:03, 1.87it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.65it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00600.png Saved ./outputs/00601.png Saved ./outputs/00602.png Saved ./outputs/00603.png Saved ./outputs/00604.png Saved ./outputs/00605.png Saved ./outputs/00606.png Saved ./outputs/00607.png Saved ./outputs/00608.png Saved ./outputs/00609.png Saved ./outputs/00610.png Saved ./outputs/00611.png Saved ./outputs/00612.png Saved ./outputs/00613.png Saved ./outputs/00614.png Saved ./outputs/00615.png Saved ./outputs/00616.png Saved ./outputs/00617.png Saved ./outputs/00618.png Saved ./outputs/00619.png Saved ./outputs/00620.png Saved ./outputs/00621.png Saved ./outputs/00622.png Saved ./outputs/00623.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.65it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00624.png Saved ./outputs/00625.png Saved ./outputs/00626.png Saved ./outputs/00627.png Saved ./outputs/00628.png Saved ./outputs/00629.png Saved ./outputs/00630.png Saved ./outputs/00631.png Saved ./outputs/00632.png Saved ./outputs/00633.png Saved ./outputs/00634.png Saved ./outputs/00635.png Saved ./outputs/00636.png Saved ./outputs/00637.png Saved ./outputs/00638.png Saved ./outputs/00639.png Saved ./outputs/00640.png Saved ./outputs/00641.png Saved ./outputs/00642.png Saved ./outputs/00643.png Saved ./outputs/00644.png Saved ./outputs/00645.png Saved ./outputs/00646.png Saved ./outputs/00647.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.83it/s] 20%|██ | 2/10 [00:00<00:03, 2.13it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00648.png Saved ./outputs/00649.png Saved ./outputs/00650.png Saved ./outputs/00651.png Saved ./outputs/00652.png Saved ./outputs/00653.png Saved ./outputs/00654.png Saved ./outputs/00655.png Saved ./outputs/00656.png Saved ./outputs/00657.png Saved ./outputs/00658.png Saved ./outputs/00659.png Saved ./outputs/00660.png Saved ./outputs/00661.png Saved ./outputs/00662.png Saved ./outputs/00663.png Saved ./outputs/00664.png Saved ./outputs/00665.png Saved ./outputs/00666.png Saved ./outputs/00667.png Saved ./outputs/00668.png Saved ./outputs/00669.png Saved ./outputs/00670.png Saved ./outputs/00671.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.86it/s] 20%|██ | 2/10 [00:00<00:03, 2.11it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00672.png Saved ./outputs/00673.png Saved ./outputs/00674.png Saved ./outputs/00675.png Saved ./outputs/00676.png Saved ./outputs/00677.png Saved ./outputs/00678.png Saved ./outputs/00679.png Saved ./outputs/00680.png Saved ./outputs/00681.png Saved ./outputs/00682.png Saved ./outputs/00683.png Saved ./outputs/00684.png Saved ./outputs/00685.png Saved ./outputs/00686.png Saved ./outputs/00687.png Saved ./outputs/00688.png Saved ./outputs/00689.png Saved ./outputs/00690.png Saved ./outputs/00691.png Saved ./outputs/00692.png Saved ./outputs/00693.png Saved ./outputs/00694.png Saved ./outputs/00695.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.78it/s] 20%|██ | 2/10 [00:00<00:03, 2.12it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00696.png Saved ./outputs/00697.png Saved ./outputs/00698.png Saved ./outputs/00699.png Saved ./outputs/00700.png Saved ./outputs/00701.png Saved ./outputs/00702.png Saved ./outputs/00703.png Saved ./outputs/00704.png Saved ./outputs/00705.png Saved ./outputs/00706.png Saved ./outputs/00707.png Saved ./outputs/00708.png Saved ./outputs/00709.png Saved ./outputs/00710.png Saved ./outputs/00711.png Saved ./outputs/00712.png Saved ./outputs/00713.png Saved ./outputs/00714.png Saved ./outputs/00715.png Saved ./outputs/00716.png Saved ./outputs/00717.png Saved ./outputs/00718.png Saved ./outputs/00719.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.68it/s] 20%|██ | 2/10 [00:00<00:03, 2.11it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.65it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00720.png Saved ./outputs/00721.png Saved ./outputs/00722.png Saved ./outputs/00723.png Saved ./outputs/00724.png Saved ./outputs/00725.png Saved ./outputs/00726.png Saved ./outputs/00727.png Saved ./outputs/00728.png Saved ./outputs/00729.png Saved ./outputs/00730.png Saved ./outputs/00731.png Saved ./outputs/00732.png Saved ./outputs/00733.png Saved ./outputs/00734.png Saved ./outputs/00735.png Saved ./outputs/00736.png Saved ./outputs/00737.png Saved ./outputs/00738.png Saved ./outputs/00739.png Saved ./outputs/00740.png Saved ./outputs/00741.png Saved ./outputs/00742.png Saved ./outputs/00743.png data_batch torch.Size([24, 77, 768]) start_code_batchtorch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.75it/s] 20%|██ | 2/10 [00:00<00:03, 2.12it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00744.png Saved ./outputs/00745.png Saved ./outputs/00746.png Saved ./outputs/00747.png Saved ./outputs/00748.png Saved ./outputs/00749.png Saved ./outputs/00750.png Saved ./outputs/00751.png Saved ./outputs/00752.png Saved ./outputs/00753.png Saved ./outputs/00754.png Saved ./outputs/00755.png Saved ./outputs/00756.png Saved ./outputs/00757.png Saved ./outputs/00758.png Saved ./outputs/00759.png Saved ./outputs/00760.png Saved ./outputs/00761.png Saved ./outputs/00762.png Saved ./outputs/00763.png Saved ./outputs/00764.png Saved ./outputs/00765.png Saved ./outputs/00766.png Saved ./outputs/00767.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.90it/s] 20%|██ | 2/10 [00:00<00:03, 2.13it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00768.png Saved ./outputs/00769.png Saved ./outputs/00770.png Saved ./outputs/00771.png Saved ./outputs/00772.png Saved ./outputs/00773.png Saved ./outputs/00774.png Saved ./outputs/00775.png Saved ./outputs/00776.png Saved ./outputs/00777.png Saved ./outputs/00778.png Saved ./outputs/00779.png Saved ./outputs/00780.png Saved ./outputs/00781.png Saved ./outputs/00782.png Saved ./outputs/00783.png Saved ./outputs/00784.png Saved ./outputs/00785.png Saved ./outputs/00786.png Saved ./outputs/00787.png Saved ./outputs/00788.png Saved ./outputs/00789.png Saved ./outputs/00790.png Saved ./outputs/00791.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.67it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00792.png Saved ./outputs/00793.png Saved ./outputs/00794.png Saved ./outputs/00795.png Saved ./outputs/00796.png Saved ./outputs/00797.png Saved ./outputs/00798.png Saved ./outputs/00799.png Saved ./outputs/00800.png Saved ./outputs/00801.png Saved ./outputs/00802.png Saved ./outputs/00803.png Saved ./outputs/00804.png Saved ./outputs/00805.png Saved ./outputs/00806.png Saved ./outputs/00807.png Saved ./outputs/00808.png Saved ./outputs/00809.png Saved ./outputs/00810.png Saved ./outputs/00811.png Saved ./outputs/00812.png Saved ./outputs/00813.png Saved ./outputs/00814.png Saved ./outputs/00815.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.89it/s] 20%|██ | 2/10 [00:00<00:03, 2.14it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.68it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00816.png Saved ./outputs/00817.png Saved ./outputs/00818.png Saved ./outputs/00819.png Saved ./outputs/00820.png Saved ./outputs/00821.png Saved ./outputs/00822.png Saved ./outputs/00823.png Saved ./outputs/00824.png Saved ./outputs/00825.png Saved ./outputs/00826.png Saved ./outputs/00827.png Saved ./outputs/00828.png Saved ./outputs/00829.png Saved ./outputs/00830.png Saved ./outputs/00831.png Saved ./outputs/00832.png Saved ./outputs/00833.png Saved ./outputs/00834.png Saved ./outputs/00835.png Saved ./outputs/00836.png Saved ./outputs/00837.png Saved ./outputs/00838.png Saved ./outputs/00839.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.67it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00840.png Saved ./outputs/00841.png Saved ./outputs/00842.png Saved ./outputs/00843.png Saved ./outputs/00844.png Saved ./outputs/00845.png Saved ./outputs/00846.png Saved ./outputs/00847.png Saved ./outputs/00848.png Saved ./outputs/00849.png Saved ./outputs/00850.png Saved ./outputs/00851.png Saved ./outputs/00852.png Saved ./outputs/00853.png Saved ./outputs/00854.png Saved ./outputs/00855.png Saved ./outputs/00856.png Saved ./outputs/00857.png Saved ./outputs/00858.png Saved ./outputs/00859.png Saved ./outputs/00860.png Saved ./outputs/00861.png Saved ./outputs/00862.png Saved ./outputs/00863.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.85it/s] 20%|██ | 2/10 [00:00<00:03, 2.13it/s] 30%|███ | 3/10 [00:01<00:03, 1.86it/s] 40%|████ | 4/10 [00:02<00:03, 1.76it/s] 50%|█████ | 5/10 [00:02<00:02, 1.71it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00864.png Saved ./outputs/00865.png Saved ./outputs/00866.png Saved ./outputs/00867.png Saved ./outputs/00868.png Saved ./outputs/00869.png Saved ./outputs/00870.png Saved ./outputs/00871.png Saved ./outputs/00872.png Saved ./outputs/00873.png Saved ./outputs/00874.png Saved ./outputs/00875.png Saved ./outputs/00876.png Saved ./outputs/00877.png Saved ./outputs/00878.png Saved ./outputs/00879.png Saved ./outputs/00880.png Saved ./outputs/00881.png Saved ./outputs/00882.png Saved ./outputs/00883.png Saved ./outputs/00884.png Saved ./outputs/00885.png Saved ./outputs/00886.png Saved ./outputs/00887.png data_batch torch.Size([24, 77, 768]) start_code_batch torch.Size([24, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.63it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 1.85it/s] 40%|████ | 4/10 [00:02<00:03, 1.75it/s] 50%|█████ | 5/10 [00:02<00:02, 1.70it/s] 60%|██████ | 6/10 [00:03<00:02, 1.67it/s] 70%|███████ | 7/10 [00:03<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.64it/s] 100%|██████████| 10/10 [00:05<00:00, 1.63it/s] 100%|██████████| 10/10 [00:05<00:00, 1.71it/s] samples_ddim torch.Size([24, 4, 64, 48]) Saved ./outputs/00888.png Saved ./outputs/00889.png Saved ./outputs/00890.png Saved ./outputs/00891.png Saved ./outputs/00892.png Saved ./outputs/00893.png Saved ./outputs/00894.png Saved ./outputs/00895.png Saved ./outputs/00896.png Saved ./outputs/00897.png Saved ./outputs/00898.png Saved ./outputs/00899.png Saved ./outputs/00900.png Saved ./outputs/00901.png Saved ./outputs/00902.png Saved ./outputs/00903.png Saved ./outputs/00904.png Saved ./outputs/00905.png Saved ./outputs/00906.png Saved ./outputs/00907.png Saved ./outputs/00908.png Saved ./outputs/00909.png Saved ./outputs/00910.png Saved ./outputs/00911.png data_batch torch.Size([23, 77, 768]) start_code_batchtorch.Size([23, 4, 64, 48]) sigmas tensor([14.6094, 7.8398, 4.6094, 2.9180, 1.9502, 1.3447, 0.9321, 0.6250, 0.3687, 0.0312, 0.0000], device='cuda:0') 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.91it/s] 20%|██ | 2/10 [00:00<00:03, 2.20it/s] 30%|███ | 3/10 [00:01<00:03, 1.93it/s] 40%|████ | 4/10 [00:02<00:03, 1.82it/s] 50%|█████ | 5/10 [00:02<00:02, 1.77it/s] 60%|██████ | 6/10 [00:03<00:02, 1.74it/s] 70%|███████ | 7/10 [00:03<00:01, 1.72it/s] 80%|████████ | 8/10 [00:04<00:01, 1.71it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.70it/s] 100%|██████████| 10/10 [00:05<00:00, 1.69it/s] 100%|██████████| 10/10 [00:05<00:00, 1.78it/s] samples_ddim torch.Size([23, 4, 64, 48]) Saved ./outputs/00912.png Saved ./outputs/00913.png Saved ./outputs/00914.png Saved ./outputs/00915.png Saved ./outputs/00916.png Saved ./outputs/00917.png Saved ./outputs/00918.png Saved ./outputs/00919.png Saved ./outputs/00920.png Saved ./outputs/00921.png Saved ./outputs/00922.png Saved ./outputs/00923.png Saved ./outputs/00924.png Saved ./outputs/00925.png Saved ./outputs/00926.png Saved ./outputs/00927.png Saved ./outputs/00928.png Saved ./outputs/00929.png Saved ./outputs/00930.png Saved ./outputs/00931.png Saved ./outputs/00932.png Saved ./outputs/00933.png Saved ./outputs/00934.png Your samples have been saved to: ./outputs Enjoy. total 179076 -rw-r--r-- 1 root root 185088 Jan 12 16:57 00000.png -rw-r--r-- 1 root root 186828 Jan 12 16:57 00001.png -rw-r--r-- 1 root root 186326 Jan 12 16:57 00002.png -rw-r--r-- 1 root root 183243 Jan 12 16:57 00003.png -rw-r--r-- 1 root root 183141 Jan 12 16:57 00004.png -rw-r--r-- 1 root root 180218 Jan 12 16:57 00005.png -rw-r--r-- 1 root root 182244 Jan 12 16:57 00006.png -rw-r--r-- 1 root root 182754 Jan 12 16:57 00007.png -rw-r--r-- 1 root root 185773 Jan 12 16:57 00008.png -rw-r--r-- 1 root root 185271 Jan 12 16:57 00009.png -rw-r--r-- 1 root root 185376 Jan 12 16:57 00010.png -rw-r--r-- 1 root root 184640 Jan 12 16:57 00011.png -rw-r--r-- 1 root root 185506 Jan 12 16:57 00012.png -rw-r--r-- 1 root root 208303 Jan 12 16:57 00013.png -rw-r--r-- 1 root root 201698 Jan 12 16:57 00014.png -rw-r--r-- 1 root root 210046 Jan 12 16:57 00015.png -rw-r--r-- 1 root root 210337 Jan 12 16:57 00016.png -rw-r--r-- 1 root root 203029 Jan 12 16:57 00017.png -rw-r--r-- 1 root root 196041 Jan 12 16:57 00018.png -rw-r--r-- 1 root root 192675 Jan 12 16:57 00019.png -rw-r--r-- 1 root root 203915 Jan 12 16:57 00020.png -rw-r--r-- 1 root root 199739 Jan 12 16:57 00021.png -rw-r--r-- 1 root root 199145 Jan 12 16:57 00022.png -rw-r--r-- 1 root root 201992 Jan 12 16:57 00023.png -rw-r--r-- 1 root root 207943 Jan 12 16:57 00024.png -rw-r--r-- 1 root root 198736 Jan 12 16:57 00025.png -rw-r--r-- 1 root root 191197 Jan 12 16:57 00026.png -rw-r--r-- 1 root root 191706 Jan 12 16:57 00027.png -rw-r--r-- 1 root root 205870 Jan 12 16:57 00028.png -rw-r--r-- 1 root root 200403 Jan 12 16:57 00029.png -rw-r--r-- 1 root root 202548 Jan 12 16:57 00030.png -rw-r--r-- 1 root root 203743 Jan 12 16:57 00031.png -rw-r--r-- 1 root root 203656 Jan 12 16:57 00032.png -rw-r--r-- 1 root root 192977 Jan 12 16:57 00033.png -rw-r--r-- 1 root root 190692 Jan 12 16:57 00034.png -rw-r--r-- 1 root root 204403 Jan 12 16:57 00035.png -rw-r--r-- 1 root root 198681 Jan 12 16:57 00036.png -rw-r--r-- 1 root root 198996 Jan 12 16:57 00037.png -rw-r--r-- 1 root root 204755 Jan 12 16:57 00038.png -rw-r--r-- 1 root root 203634 Jan 12 16:57 00039.png -rw-r--r-- 1 root root 195945 Jan 12 16:57 00040.png -rw-r--r-- 1 root root 192114 Jan 12 16:57 00041.png -rw-r--r-- 1 root root 191690 Jan 12 16:57 00042.png -rw-r--r-- 1 root root 200769 Jan 12 16:57 00043.png -rw-r--r-- 1 root root 200551 Jan 12 16:57 00044.png -rw-r--r-- 1 root root 204716 Jan 12 16:57 00045.png -rw-r--r-- 1 root root 203320 Jan 12 16:57 00046.png -rw-r--r-- 1 root root 195471 Jan 12 16:57 00047.png -rw-r--r-- 1 root root 187913 Jan 12 16:57 00048.png -rw-r--r-- 1 root root 186085 Jan 12 16:57 00049.png -rw-r--r-- 1 root root 196865 Jan 12 16:57 00050.png -rw-r--r-- 1 root root 201177 Jan 12 16:57 00051.png -rw-r--r-- 1 root root 200247 Jan 12 16:57 00052.png -rw-r--r-- 1 root root 203553 Jan 12 16:57 00053.png -rw-r--r-- 1 root root 201446 Jan 12 16:57 00054.png -rw-r--r-- 1 root root 189330 Jan 12 16:57 00055.png -rw-r--r-- 1 root root 185805 Jan 12 16:57 00056.png -rw-r--r-- 1 root root 186199 Jan 12 16:57 00057.png -rw-r--r-- 1 root root 201489 Jan 12 16:57 00058.png -rw-r--r-- 1 root root 200041 Jan 12 16:57 00059.png -rw-r--r-- 1 root root 199924 Jan 12 16:57 00060.png -rw-r--r-- 1 root root 195990 Jan 12 16:57 00061.png -rw-r--r-- 1 root root 191327 Jan 12 16:57 00062.png -rw-r--r-- 1 root root 185472 Jan 12 16:57 00063.png -rw-r--r-- 1 root root 181648 Jan 12 16:57 00064.png -rw-r--r-- 1 root root 190352 Jan 12 16:57 00065.png -rw-r--r-- 1 root root 202099 Jan 12 16:57 00066.png -rw-r--r-- 1 root root 202031 Jan 12 16:57 00067.png -rw-r--r-- 1 root root 195160 Jan 12 16:57 00068.png -rw-r--r-- 1 root root 188203 Jan 12 16:57 00069.png -rw-r--r-- 1 root root 188978 Jan 12 16:57 00070.png -rw-r--r-- 1 root root 182502 Jan 12 16:57 00071.png -rw-r--r-- 1 root root 183380 Jan 12 16:57 00072.png -rw-r--r-- 1 root root 193179 Jan 12 16:57 00073.png -rw-r--r-- 1 root root 203110 Jan 12 16:57 00074.png -rw-r--r-- 1 root root 196041 Jan 12 16:57 00075.png -rw-r--r-- 1 root root 188397 Jan 12 16:57 00076.png -rw-r--r-- 1 root root 188751 Jan 12 16:57 00077.png -rw-r--r-- 1 root root 183699 Jan 12 16:57 00078.png -rw-r--r-- 1 root root 180260 Jan 12 16:57 00079.png -rw-r--r-- 1 root root 187873 Jan 12 16:57 00080.png -rw-r--r-- 1 root root 205272 Jan 12 16:57 00081.png -rw-r--r-- 1 root root 200445 Jan 12 16:57 00082.png -rw-r--r-- 1 root root 190726 Jan 12 16:57 00083.png -rw-r--r-- 1 root root 183516 Jan 12 16:57 00084.png -rw-r--r-- 1 root root 185460 Jan 12 16:57 00085.png -rw-r--r-- 1 root root 183474 Jan 12 16:57 00086.png -rw-r--r-- 1 root root 182837 Jan 12 16:57 00087.png -rw-r--r-- 1 root root 195915 Jan 12 16:57 00088.png -rw-r--r-- 1 root root 204703 Jan 12 16:57 00089.png -rw-r--r-- 1 root root 195435 Jan 12 16:57 00090.png -rw-r--r-- 1 root root 185277 Jan 12 16:57 00091.png -rw-r--r-- 1 root root 184542 Jan 12 16:57 00092.png -rw-r--r-- 1 root root 178991 Jan 12 16:57 00093.png -rw-r--r-- 1 root root 176485 Jan 12 16:57 00094.png -rw-r--r-- 1 root root 185722 Jan 12 16:57 00095.png -rw-r--r-- 1 root root 202347 Jan 12 16:57 00096.png -rw-r--r-- 1 root root 195422 Jan 12 16:57 00097.png -rw-r--r-- 1 root root 190961 Jan 12 16:57 00098.png -rw-r--r-- 1 root root 183652 Jan 12 16:57 00099.png -rw-r--r-- 1 root root 184138 Jan 12 16:57 00100.png -rw-r--r-- 1 root root 181302 Jan 12 16:57 00101.png -rw-r--r-- 1 root root 181677 Jan 12 16:57 00102.png -rw-r--r-- 1 root root 191337 Jan 12 16:57 00103.png -rw-r--r-- 1 root root 203416 Jan 12 16:57 00104.png -rw-r--r-- 1 root root 190248 Jan 12 16:57 00105.png -rw-r--r-- 1 root root 184597 Jan 12 16:57 00106.png -rw-r--r-- 1 root root 183814 Jan 12 16:57 00107.png -rw-r--r-- 1 root root 179562 Jan 12 16:57 00108.png -rw-r--r-- 1 root root 177361 Jan 12 16:57 00109.png -rw-r--r-- 1 root root 182182 Jan 12 16:57 00110.png -rw-r--r-- 1 root root 198855 Jan 12 16:57 00111.png -rw-r--r-- 1 root root 192655 Jan 12 16:57 00112.png -rw-r--r-- 1 root root 184710 Jan 12 16:57 00113.png -rw-r--r-- 1 root root 181919 Jan 12 16:57 00114.png -rw-r--r-- 1 root root 181513 Jan 12 16:57 00115.png -rw-r--r-- 1 root root 177504 Jan 12 16:57 00116.png -rw-r--r-- 1 root root 177865 Jan 12 16:57 00117.png -rw-r--r-- 1 root root 181348 Jan 12 16:57 00118.png -rw-r--r-- 1 root root 193509 Jan 12 16:57 00119.png -rw-r--r-- 1 root root 182366 Jan 12 16:57 00120.png -rw-r--r-- 1 root root 181148 Jan 12 16:57 00121.png -rw-r--r-- 1 root root 179772 Jan 12 16:57 00122.png -rw-r--r-- 1 root root 177079 Jan 12 16:57 00123.png -rw-r--r-- 1 root root 174719 Jan 12 16:57 00124.png -rw-r--r-- 1 root root 180105 Jan 12 16:57 00125.png -rw-r--r-- 1 root root 198086 Jan 12 16:57 00126.png -rw-r--r-- 1 root root 192817 Jan 12 16:57 00127.png -rw-r--r-- 1 root root 182503 Jan 12 16:57 00128.png -rw-r--r-- 1 root root 180866 Jan 12 16:57 00129.png -rw-r--r-- 1 root root 180465 Jan 12 16:57 00130.png -rw-r--r-- 1 root root 178076 Jan 12 16:57 00131.png -rw-r--r-- 1 root root 176203 Jan 12 16:57 00132.png -rw-r--r-- 1 root root 182862 Jan 12 16:57 00133.png -rw-r--r-- 1 root root 191518 Jan 12 16:57 00134.png -rw-r--r-- 1 root root 181735 Jan 12 16:57 00135.png -rw-r--r-- 1 root root 182163 Jan 12 16:57 00136.png -rw-r--r-- 1 root root 180561 Jan 12 16:57 00137.png -rw-r--r-- 1 root root 177075 Jan 12 16:57 00138.png -rw-r--r-- 1 root root 173760 Jan 12 16:57 00139.png -rw-r--r-- 1 root root 182514 Jan 12 16:57 00140.png -rw-r--r-- 1 root root 192451 Jan 12 16:57 00141.png -rw-r--r-- 1 root root 185076 Jan 12 16:57 00142.png -rw-r--r-- 1 root root 182180 Jan 12 16:57 00143.png -rw-r--r-- 1 root root 184114 Jan 12 16:58 00144.png -rw-r--r-- 1 root root 180387 Jan 12 16:58 00145.png -rw-r--r-- 1 root root 174963 Jan 12 16:58 00146.png -rw-r--r-- 1 root root 175434 Jan 12 16:58 00147.png -rw-r--r-- 1 root root 183784 Jan 12 16:58 00148.png -rw-r--r-- 1 root root 187622 Jan 12 16:58 00149.png -rw-r--r-- 1 root root 182956 Jan 12 16:58 00150.png -rw-r--r-- 1 root root 183940 Jan 12 16:58 00151.png -rw-r--r-- 1 root root 182866 Jan 12 16:58 00152.png -rw-r--r-- 1 root root 179366 Jan 12 16:58 00153.png -rw-r--r-- 1 root root 178741 Jan 12 16:58 00154.png -rw-r--r-- 1 root root 185051 Jan 12 16:58 00155.png -rw-r--r-- 1 root root 190973 Jan 12 16:58 00156.png -rw-r--r-- 1 root root 184219 Jan 12 16:58 00157.png -rw-r--r-- 1 root root 183424 Jan 12 16:58 00158.png -rw-r--r-- 1 root root 185201 Jan 12 16:58 00159.png -rw-r--r-- 1 root root 183997 Jan 12 16:58 00160.png -rw-r--r-- 1 root root 180954 Jan 12 16:58 00161.png -rw-r--r-- 1 root root 181147 Jan 12 16:58 00162.png -rw-r--r-- 1 root root 184625 Jan 12 16:58 00163.png -rw-r--r-- 1 root root 192061 Jan 12 16:58 00164.png -rw-r--r-- 1 root root 183807 Jan 12 16:58 00165.png -rw-r--r-- 1 root root 184984 Jan 12 16:58 00166.png -rw-r--r-- 1 root root 182949 Jan 12 16:58 00167.png -rw-r--r-- 1 root root 180673 Jan 12 16:58 00168.png -rw-r--r-- 1 root root 180353 Jan 12 16:58 00169.png -rw-r--r-- 1 root root 184112 Jan 12 16:58 00170.png -rw-r--r-- 1 root root 188973 Jan 12 16:58 00171.png -rw-r--r-- 1 root root 185331 Jan 12 16:58 00172.png -rw-r--r-- 1 root root 187067 Jan 12 16:58 00173.png -rw-r--r-- 1 root root 187100 Jan 12 16:58 00174.png -rw-r--r-- 1 root root 180304 Jan 12 16:58 00175.png -rw-r--r-- 1 root root 178041 Jan 12 16:58 00176.png -rw-r--r-- 1 root root 179533 Jan 12 16:58 00177.png -rw-r--r-- 1 root root 187594 Jan 12 16:58 00178.png -rw-r--r-- 1 root root 188904 Jan 12 16:58 00179.png -rw-r--r-- 1 root root 188418 Jan 12 16:58 00180.png -rw-r--r-- 1 root root 187736 Jan 12 16:58 00181.png -rw-r--r-- 1 root root 182457 Jan 12 16:58 00182.png -rw-r--r-- 1 root root 181702 Jan 12 16:58 00183.png -rw-r--r-- 1 root root 179079 Jan 12 16:58 00184.png -rw-r--r-- 1 root root 178213 Jan 12 16:58 00185.png -rw-r--r-- 1 root root 177200 Jan 12 16:58 00186.png -rw-r--r-- 1 root root 177098 Jan 12 16:58 00187.png -rw-r--r-- 1 root root 175265 Jan 12 16:58 00188.png -rw-r--r-- 1 root root 176553 Jan 12 16:58 00189.png -rw-r--r-- 1 root root 175991 Jan 12 16:58 00190.png -rw-r--r-- 1 root root 177555 Jan 12 16:58 00191.png -rw-r--r-- 1 root root 173681 Jan 12 16:58 00192.png -rw-r--r-- 1 root root 174293 Jan 12 16:58 00193.png -rw-r--r-- 1 root root 174209 Jan 12 16:58 00194.png -rw-r--r-- 1 root root 170445 Jan 12 16:58 00195.png -rw-r--r-- 1 root root 173587 Jan 12 16:58 00196.png -rw-r--r-- 1 root root 169621 Jan 12 16:58 00197.png -rw-r--r-- 1 root root 171907 Jan 12 16:58 00198.png -rw-r--r-- 1 root root 170515 Jan 12 16:58 00199.png -rw-r--r-- 1 root root 170957 Jan 12 16:58 00200.png -rw-r--r-- 1 root root 170771 Jan 12 16:58 00201.png -rw-r--r-- 1 root root 172257 Jan 12 16:58 00202.png -rw-r--r-- 1 root root 171121 Jan 12 16:58 00203.png -rw-r--r-- 1 root root 171364 Jan 12 16:58 00204.png -rw-r--r-- 1 root root 170270 Jan 12 16:58 00205.png -rw-r--r-- 1 root root 170966 Jan 12 16:58 00206.png -rw-r--r-- 1 root root 172508 Jan 12 16:58 00207.png -rw-r--r-- 1 root root 170293 Jan 12 16:58 00208.png -rw-r--r-- 1 root root 172472 Jan 12 16:58 00209.png -rw-r--r-- 1 root root 172301 Jan 12 16:58 00210.png -rw-r--r-- 1 root root 170662 Jan 12 16:58 00211.png -rw-r--r-- 1 root root 171710 Jan 12 16:58 00212.png -rw-r--r-- 1 root root 171855 Jan 12 16:58 00213.png -rw-r--r-- 1 root root 171918 Jan 12 16:58 00214.png -rw-r--r-- 1 root root 171544 Jan 12 16:58 00215.png -rw-r--r-- 1 root root 171737 Jan 12 16:58 00216.png -rw-r--r-- 1 root root 171852 Jan 12 16:58 00217.png -rw-r--r-- 1 root root 171520 Jan 12 16:58 00218.png -rw-r--r-- 1 root root 171152 Jan 12 16:58 00219.png -rw-r--r-- 1 root root 171442 Jan 12 16:58 00220.png -rw-r--r-- 1 root root 171190 Jan 12 16:58 00221.png -rw-r--r-- 1 root root 170799 Jan 12 16:58 00222.png -rw-r--r-- 1 root root 170511 Jan 12 16:58 00223.png -rw-r--r-- 1 root root 171113 Jan 12 16:58 00224.png -rw-r--r-- 1 root root 171676 Jan 12 16:58 00225.png -rw-r--r-- 1 root root 172078 Jan 12 16:58 00226.png -rw-r--r-- 1 root root 172079 Jan 12 16:58 00227.png -rw-r--r-- 1 root root 172259 Jan 12 16:58 00228.png -rw-r--r-- 1 root root 172198 Jan 12 16:58 00229.png -rw-r--r-- 1 root root 176252 Jan 12 16:58 00230.png -rw-r--r-- 1 root root 176327 Jan 12 16:58 00231.png -rw-r--r-- 1 root root 173108 Jan 12 16:58 00232.png -rw-r--r-- 1 root root 173935 Jan 12 16:58 00233.png -rw-r--r-- 1 root root 172669 Jan 12 16:58 00234.png -rw-r--r-- 1 root root 175226 Jan 12 16:58 00235.png -rw-r--r-- 1 root root 175844 Jan 12 16:58 00236.png -rw-r--r-- 1 root root 174143 Jan 12 16:58 00237.png -rw-r--r-- 1 root root 171618 Jan 12 16:58 00238.png -rw-r--r-- 1 root root 171440 Jan 12 16:58 00239.png -rw-r--r-- 1 root root 173628 Jan 12 16:58 00240.png -rw-r--r-- 1 root root 170325 Jan 12 16:58 00241.png -rw-r--r-- 1 root root 173663 Jan 12 16:58 00242.png -rw-r--r-- 1 root root 171651 Jan 12 16:58 00243.png -rw-r--r-- 1 root root 170489 Jan 12 16:58 00244.png -rw-r--r-- 1 root root 171827 Jan 12 16:58 00245.png -rw-r--r-- 1 root root 170746 Jan 12 16:58 00246.png -rw-r--r-- 1 root root 170340 Jan 12 16:58 00247.png -rw-r--r-- 1 root root 171529 Jan 12 16:58 00248.png -rw-r--r-- 1 root root 172342 Jan 12 16:58 00249.png -rw-r--r-- 1 root root 171109 Jan 12 16:58 00250.png -rw-r--r-- 1 root root 170854 Jan 12 16:58 00251.png -rw-r--r-- 1 root root 170780 Jan 12 16:58 00252.png -rw-r--r-- 1 root root 171273 Jan 12 16:58 00253.png -rw-r--r-- 1 root root 170363 Jan 12 16:58 00254.png -rw-r--r-- 1 root root 169230 Jan 12 16:58 00255.png -rw-r--r-- 1 root root 170333 Jan 12 16:58 00256.png -rw-r--r-- 1 root root 170451 Jan 12 16:58 00257.png -rw-r--r-- 1 root root 170346 Jan 12 16:58 00258.png -rw-r--r-- 1 root root 169481 Jan 12 16:58 00259.png -rw-r--r-- 1 root root 170558 Jan 12 16:58 00260.png -rw-r--r-- 1 root root 169550 Jan 12 16:58 00261.png -rw-r--r-- 1 root root 168112 Jan 12 16:58 00262.png -rw-r--r-- 1 root root 167662 Jan 12 16:58 00263.png -rw-r--r-- 1 root root 168514 Jan 12 16:58 00264.png -rw-r--r-- 1 root root 170241 Jan 12 16:58 00265.png -rw-r--r-- 1 root root 170978 Jan 12 16:58 00266.png -rw-r--r-- 1 root root 169811 Jan 12 16:58 00267.png -rw-r--r-- 1 root root 172259 Jan 12 16:58 00268.png -rw-r--r-- 1 root root 171443 Jan 12 16:58 00269.png -rw-r--r-- 1 root root 171040 Jan 12 16:58 00270.png -rw-r--r-- 1 root root 172685 Jan 12 16:58 00271.png -rw-r--r-- 1 root root 169414 Jan 12 16:58 00272.png -rw-r--r-- 1 root root 171523 Jan 12 16:58 00273.png -rw-r--r-- 1 root root 172148 Jan 12 16:58 00274.png -rw-r--r-- 1 root root 169933 Jan 12 16:58 00275.png -rw-r--r-- 1 root root 169879 Jan 12 16:58 00276.png -rw-r--r-- 1 root root 167724 Jan 12 16:58 00277.png -rw-r--r-- 1 root root 168579 Jan 12 16:58 00278.png -rw-r--r-- 1 root root 168676 Jan 12 16:58 00279.png -rw-r--r-- 1 root root 172219 Jan 12 16:58 00280.png -rw-r--r-- 1 root root 168701 Jan 12 16:58 00281.png -rw-r--r-- 1 root root 169075 Jan 12 16:58 00282.png -rw-r--r-- 1 root root 170142 Jan 12 16:58 00283.png -rw-r--r-- 1 root root 168824 Jan 12 16:58 00284.png -rw-r--r-- 1 root root 168656 Jan 12 16:58 00285.png -rw-r--r-- 1 root root 171097 Jan 12 16:58 00286.png -rw-r--r-- 1 root root 168048 Jan 12 16:58 00287.png -rw-r--r-- 1 root root 167429 Jan 12 16:58 00288.png -rw-r--r-- 1 root root 170482 Jan 12 16:58 00289.png -rw-r--r-- 1 root root 170596 Jan 12 16:58 00290.png -rw-r--r-- 1 root root 170620 Jan 12 16:58 00291.png -rw-r--r-- 1 root root 170901 Jan 12 16:58 00292.png -rw-r--r-- 1 root root 170021 Jan 12 16:58 00293.png -rw-r--r-- 1 root root 169465 Jan 12 16:58 00294.png -rw-r--r-- 1 root root 170746 Jan 12 16:58 00295.png -rw-r--r-- 1 root root 169082 Jan 12 16:58 00296.png -rw-r--r-- 1 root root 169423 Jan 12 16:58 00297.png -rw-r--r-- 1 root root 169764 Jan 12 16:59 00298.png -rw-r--r-- 1 root root 167027 Jan 12 16:59 00299.png -rw-r--r-- 1 root root 166352 Jan 12 16:59 00300.png -rw-r--r-- 1 root root 168577 Jan 12 16:59 00301.png -rw-r--r-- 1 root root 170442 Jan 12 16:59 00302.png -rw-r--r-- 1 root root 166182 Jan 12 16:59 00303.png -rw-r--r-- 1 root root 167703 Jan 12 16:59 00304.png -rw-r--r-- 1 root root 169320 Jan 12 16:59 00305.png -rw-r--r-- 1 root root 170344 Jan 12 16:59 00306.png -rw-r--r-- 1 root root 167059 Jan 12 16:59 00307.png -rw-r--r-- 1 root root 169742 Jan 12 16:59 00308.png -rw-r--r-- 1 root root 171146 Jan 12 16:59 00309.png -rw-r--r-- 1 root root 169368 Jan 12 16:59 00310.png -rw-r--r-- 1 root root 169408 Jan 12 16:59 00311.png -rw-r--r-- 1 root root 169055 Jan 12 16:59 00312.png -rw-r--r-- 1 root root 170641 Jan 12 16:59 00313.png -rw-r--r-- 1 root root 170590 Jan 12 16:59 00314.png -rw-r--r-- 1 root root 169335 Jan 12 16:59 00315.png -rw-r--r-- 1 root root 170186 Jan 12 16:59 00316.png -rw-r--r-- 1 root root 170879 Jan 12 16:59 00317.png -rw-r--r-- 1 root root 167626 Jan 12 16:59 00318.png -rw-r--r-- 1 root root 168644 Jan 12 16:59 00319.png -rw-r--r-- 1 root root 169507 Jan 12 16:59 00320.png -rw-r--r-- 1 root root 170267 Jan 12 16:59 00321.png -rw-r--r-- 1 root root 167284 Jan 12 16:59 00322.png -rw-r--r-- 1 root root 169260 Jan 12 16:59 00323.png -rw-r--r-- 1 root root 169217 Jan 12 16:59 00324.png -rw-r--r-- 1 root root 170657 Jan 12 16:59 00325.png -rw-r--r-- 1 root root 169384 Jan 12 16:59 00326.png -rw-r--r-- 1 root root 168649 Jan 12 16:59 00327.png -rw-r--r-- 1 root root 166871 Jan 12 16:59 00328.png -rw-r--r-- 1 root root 170916 Jan 12 16:59 00329.png -rw-r--r-- 1 root root 171901 Jan 12 16:59 00330.png -rw-r--r-- 1 root root 171626 Jan 12 16:59 00331.png -rw-r--r-- 1 root root 167135 Jan 12 16:59 00332.png -rw-r--r-- 1 root root 171225 Jan 12 16:59 00333.png -rw-r--r-- 1 root root 170055 Jan 12 16:59 00334.png -rw-r--r-- 1 root root 170839 Jan 12 16:59 00335.png -rw-r--r-- 1 root root 169113 Jan 12 16:59 00336.png -rw-r--r-- 1 root root 169081 Jan 12 16:59 00337.png -rw-r--r-- 1 root root 171789 Jan 12 16:59 00338.png -rw-r--r-- 1 root root 171914 Jan 12 16:59 00339.png -rw-r--r-- 1 root root 171855 Jan 12 16:59 00340.png -rw-r--r-- 1 root root 172150 Jan 12 16:59 00341.png -rw-r--r-- 1 root root 172181 Jan 12 16:59 00342.png -rw-r--r-- 1 root root 171780 Jan 12 16:59 00343.png -rw-r--r-- 1 root root 172325 Jan 12 16:59 00344.png -rw-r--r-- 1 root root 173723 Jan 12 16:59 00345.png -rw-r--r-- 1 root root 171922 Jan 12 16:59 00346.png -rw-r--r-- 1 root root 171009 Jan 12 16:59 00347.png -rw-r--r-- 1 root root 170648 Jan 12 16:59 00348.png -rw-r--r-- 1 root root 171743 Jan 12 16:59 00349.png -rw-r--r-- 1 root root 170975 Jan 12 16:59 00350.png -rw-r--r-- 1 root root 164843 Jan 12 16:59 00351.png -rw-r--r-- 1 root root 166116 Jan 12 16:59 00352.png -rw-r--r-- 1 root root 164770 Jan 12 16:59 00353.png -rw-r--r-- 1 root root 168779 Jan 12 16:59 00354.png -rw-r--r-- 1 root root 167458 Jan 12 16:59 00355.png -rw-r--r-- 1 root root 164694 Jan 12 16:59 00356.png -rw-r--r-- 1 root root 164391 Jan 12 16:59 00357.png -rw-r--r-- 1 root root 164947 Jan 12 16:59 00358.png -rw-r--r-- 1 root root 172173 Jan 12 16:59 00359.png -rw-r--r-- 1 root root 165576 Jan 12 16:59 00360.png -rw-r--r-- 1 root root 163333 Jan 12 16:59 00361.png -rw-r--r-- 1 root root 164031 Jan 12 16:59 00362.png -rw-r--r-- 1 root root 163325 Jan 12 16:59 00363.png -rw-r--r-- 1 root root 163154 Jan 12 16:59 00364.png -rw-r--r-- 1 root root 164292 Jan 12 16:59 00365.png -rw-r--r-- 1 root root 165715 Jan 12 16:59 00366.png -rw-r--r-- 1 root root 166102 Jan 12 16:59 00367.png -rw-r--r-- 1 root root 164499 Jan 12 16:59 00368.png -rw-r--r-- 1 root root 164922 Jan 12 16:59 00369.png -rw-r--r-- 1 root root 164299 Jan 12 16:59 00370.png -rw-r--r-- 1 root root 165286 Jan 12 16:59 00371.png -rw-r--r-- 1 root root 164795 Jan 12 16:59 00372.png -rw-r--r-- 1 root root 164820 Jan 12 16:59 00373.png -rw-r--r-- 1 root root 164907 Jan 12 16:59 00374.png -rw-r--r-- 1 root root 168903 Jan 12 16:59 00375.png -rw-r--r-- 1 root root 164713 Jan 12 16:59 00376.png -rw-r--r-- 1 root root 165440 Jan 12 16:59 00377.png -rw-r--r-- 1 root root 164367 Jan 12 16:59 00378.png -rw-r--r-- 1 root root 165003 Jan 12 16:59 00379.png -rw-r--r-- 1 root root 169089 Jan 12 16:59 00380.png -rw-r--r-- 1 root root 170181 Jan 12 16:59 00381.png -rw-r--r-- 1 root root 170186 Jan 12 16:59 00382.png -rw-r--r-- 1 root root 169299 Jan 12 16:59 00383.png -rw-r--r-- 1 root root 170297 Jan 12 16:59 00384.png -rw-r--r-- 1 root root 171756 Jan 12 16:59 00385.png -rw-r--r-- 1 root root 171119 Jan 12 16:59 00386.png -rw-r--r-- 1 root root 169187 Jan 12 16:59 00387.png -rw-r--r-- 1 root root 168946 Jan 12 16:59 00388.png -rw-r--r-- 1 root root 168974 Jan 12 16:59 00389.png -rw-r--r-- 1 root root 171305 Jan 12 16:59 00390.png -rw-r--r-- 1 root root 170952 Jan 12 16:59 00391.png -rw-r--r-- 1 root root 170760 Jan 12 16:59 00392.png -rw-r--r-- 1 root root 172032 Jan 12 16:59 00393.png -rw-r--r-- 1 root root 170290 Jan 12 16:59 00394.png -rw-r--r-- 1 root root 170045 Jan 12 16:59 00395.png -rw-r--r-- 1 root root 171992 Jan 12 16:59 00396.png -rw-r--r-- 1 root root 171768 Jan 12 16:59 00397.png -rw-r--r-- 1 root root 169640 Jan 12 16:59 00398.png -rw-r--r-- 1 root root 171749 Jan 12 16:59 00399.png -rw-r--r-- 1 root root 171214 Jan 12 16:59 00400.png -rw-r--r-- 1 root root 170706 Jan 12 16:59 00401.png -rw-r--r-- 1 root root 171787 Jan 12 16:59 00402.png -rw-r--r-- 1 root root 170924 Jan 12 16:59 00403.png -rw-r--r-- 1 root root 169842 Jan 12 16:59 00404.png -rw-r--r-- 1 root root 172043 Jan 12 16:59 00405.png -rw-r--r-- 1 root root 172717 Jan 12 16:59 00406.png -rw-r--r-- 1 root root 171932 Jan 12 16:59 00407.png -rw-r--r-- 1 root root 171932 Jan 12 16:59 00408.png -rw-r--r-- 1 root root 172768 Jan 12 16:59 00409.png -rw-r--r-- 1 root root 172926 Jan 12 16:59 00410.png -rw-r--r-- 1 root root 173415 Jan 12 16:59 00411.png -rw-r--r-- 1 root root 175151 Jan 12 16:59 00412.png -rw-r--r-- 1 root root 174352 Jan 12 16:59 00413.png -rw-r--r-- 1 root root 174846 Jan 12 16:59 00414.png -rw-r--r-- 1 root root 171746 Jan 12 16:59 00415.png -rw-r--r-- 1 root root 173953 Jan 12 16:59 00416.png -rw-r--r-- 1 root root 175288 Jan 12 16:59 00417.png -rw-r--r-- 1 root root 173447 Jan 12 16:59 00418.png -rw-r--r-- 1 root root 170444 Jan 12 16:59 00419.png -rw-r--r-- 1 root root 170146 Jan 12 16:59 00420.png -rw-r--r-- 1 root root 171640 Jan 12 16:59 00421.png -rw-r--r-- 1 root root 171091 Jan 12 16:59 00422.png -rw-r--r-- 1 root root 174671 Jan 12 16:59 00423.png -rw-r--r-- 1 root root 174277 Jan 12 16:59 00424.png -rw-r--r-- 1 root root 177102 Jan 12 16:59 00425.png -rw-r--r-- 1 root root 171761 Jan 12 16:59 00426.png -rw-r--r-- 1 root root 174048 Jan 12 16:59 00427.png -rw-r--r-- 1 root root 174261 Jan 12 16:59 00428.png -rw-r--r-- 1 root root 176511 Jan 12 16:59 00429.png -rw-r--r-- 1 root root 176944 Jan 12 16:59 00430.png -rw-r--r-- 1 root root 177138 Jan 12 16:59 00431.png -rw-r--r-- 1 root root 178120 Jan 12 16:59 00432.png -rw-r--r-- 1 root root 176118 Jan 12 16:59 00433.png -rw-r--r-- 1 root root 173072 Jan 12 16:59 00434.png -rw-r--r-- 1 root root 176131 Jan 12 16:59 00435.png -rw-r--r-- 1 root root 176919 Jan 12 16:59 00436.png -rw-r--r-- 1 root root 179100 Jan 12 16:59 00437.png -rw-r--r-- 1 root root 178179 Jan 12 16:59 00438.png -rw-r--r-- 1 root root 176997 Jan 12 16:59 00439.png -rw-r--r-- 1 root root 177584 Jan 12 16:59 00440.png -rw-r--r-- 1 root root 172982 Jan 12 16:59 00441.png -rw-r--r-- 1 root root 175042 Jan 12 16:59 00442.png -rw-r--r-- 1 root root 177867 Jan 12 16:59 00443.png -rw-r--r-- 1 root root 178275 Jan 12 16:59 00444.png -rw-r--r-- 1 root root 179222 Jan 12 16:59 00445.png -rw-r--r-- 1 root root 179354 Jan 12 16:59 00446.png -rw-r--r-- 1 root root 179310 Jan 12 16:59 00447.png -rw-r--r-- 1 root root 177486 Jan 12 16:59 00448.png -rw-r--r-- 1 root root 174211 Jan 12 16:59 00449.png -rw-r--r-- 1 root root 178324 Jan 12 16:59 00450.png -rw-r--r-- 1 root root 179339 Jan 12 16:59 00451.png -rw-r--r-- 1 root root 181744 Jan 12 16:59 00452.png -rw-r--r-- 1 root root 178176 Jan 12 16:59 00453.png -rw-r--r-- 1 root root 176221 Jan 12 16:59 00454.png -rw-r--r-- 1 root root 183696 Jan 12 16:59 00455.png -rw-r--r-- 1 root root 177971 Jan 12 17:00 00456.png -rw-r--r-- 1 root root 179529 Jan 12 17:00 00457.png -rw-r--r-- 1 root root 179906 Jan 12 17:00 00458.png -rw-r--r-- 1 root root 180551 Jan 12 17:00 00459.png -rw-r--r-- 1 root root 182035 Jan 12 17:00 00460.png -rw-r--r-- 1 root root 180134 Jan 12 17:00 00461.png -rw-r--r-- 1 root root 181336 Jan 12 17:00 00462.png -rw-r--r-- 1 root root 179561 Jan 12 17:00 00463.png -rw-r--r-- 1 root root 174981 Jan 12 17:00 00464.png -rw-r--r-- 1 root root 179896 Jan 12 17:00 00465.png -rw-r--r-- 1 root root 181686 Jan 12 17:00 00466.png -rw-r--r-- 1 root root 183037 Jan 12 17:00 00467.png -rw-r--r-- 1 root root 179913 Jan 12 17:00 00468.png -rw-r--r-- 1 root root 175176 Jan 12 17:00 00469.png -rw-r--r-- 1 root root 185218 Jan 12 17:00 00470.png -rw-r--r-- 1 root root 181032 Jan 12 17:00 00471.png -rw-r--r-- 1 root root 183530 Jan 12 17:00 00472.png -rw-r--r-- 1 root root 183251 Jan 12 17:00 00473.png -rw-r--r-- 1 root root 186964 Jan 12 17:00 00474.png -rw-r--r-- 1 root root 183618 Jan 12 17:00 00475.png -rw-r--r-- 1 root root 179971 Jan 12 17:00 00476.png -rw-r--r-- 1 root root 179522 Jan 12 17:00 00477.png -rw-r--r-- 1 root root 184577 Jan 12 17:00 00478.png -rw-r--r-- 1 root root 183241 Jan 12 17:00 00479.png -rw-r--r-- 1 root root 185001 Jan 12 17:00 00480.png -rw-r--r-- 1 root root 188392 Jan 12 17:00 00481.png -rw-r--r-- 1 root root 186432 Jan 12 17:00 00482.png -rw-r--r-- 1 root root 181526 Jan 12 17:00 00483.png -rw-r--r-- 1 root root 177585 Jan 12 17:00 00484.png -rw-r--r-- 1 root root 187831 Jan 12 17:00 00485.png -rw-r--r-- 1 root root 187235 Jan 12 17:00 00486.png -rw-r--r-- 1 root root 186301 Jan 12 17:00 00487.png -rw-r--r-- 1 root root 188345 Jan 12 17:00 00488.png -rw-r--r-- 1 root root 189346 Jan 12 17:00 00489.png -rw-r--r-- 1 root root 187724 Jan 12 17:00 00490.png -rw-r--r-- 1 root root 181502 Jan 12 17:00 00491.png -rw-r--r-- 1 root root 182609 Jan 12 17:00 00492.png -rw-r--r-- 1 root root 188409 Jan 12 17:00 00493.png -rw-r--r-- 1 root root 190171 Jan 12 17:00 00494.png -rw-r--r-- 1 root root 190361 Jan 12 17:00 00495.png -rw-r--r-- 1 root root 190666 Jan 12 17:00 00496.png -rw-r--r-- 1 root root 188725 Jan 12 17:00 00497.png -rw-r--r-- 1 root root 186970 Jan 12 17:00 00498.png -rw-r--r-- 1 root root 181878 Jan 12 17:00 00499.png -rw-r--r-- 1 root root 189315 Jan 12 17:00 00500.png -rw-r--r-- 1 root root 190417 Jan 12 17:00 00501.png -rw-r--r-- 1 root root 191542 Jan 12 17:00 00502.png -rw-r--r-- 1 root root 190851 Jan 12 17:00 00503.png -rw-r--r-- 1 root root 188653 Jan 12 17:00 00504.png -rw-r--r-- 1 root root 188299 Jan 12 17:00 00505.png -rw-r--r-- 1 root root 183830 Jan 12 17:00 00506.png -rw-r--r-- 1 root root 185037 Jan 12 17:00 00507.png -rw-r--r-- 1 root root 193018 Jan 12 17:00 00508.png -rw-r--r-- 1 root root 192895 Jan 12 17:00 00509.png -rw-r--r-- 1 root root 194269 Jan 12 17:00 00510.png -rw-r--r-- 1 root root 193830 Jan 12 17:00 00511.png -rw-r--r-- 1 root root 188760 Jan 12 17:00 00512.png -rw-r--r-- 1 root root 186000 Jan 12 17:00 00513.png -rw-r--r-- 1 root root 185978 Jan 12 17:00 00514.png -rw-r--r-- 1 root root 188585 Jan 12 17:00 00515.png -rw-r--r-- 1 root root 195411 Jan 12 17:00 00516.png -rw-r--r-- 1 root root 193903 Jan 12 17:00 00517.png -rw-r--r-- 1 root root 190994 Jan 12 17:00 00518.png -rw-r--r-- 1 root root 187250 Jan 12 17:00 00519.png -rw-r--r-- 1 root root 187675 Jan 12 17:00 00520.png -rw-r--r-- 1 root root 188435 Jan 12 17:00 00521.png -rw-r--r-- 1 root root 188577 Jan 12 17:00 00522.png -rw-r--r-- 1 root root 192021 Jan 12 17:00 00523.png -rw-r--r-- 1 root root 197447 Jan 12 17:00 00524.png -rw-r--r-- 1 root root 190851 Jan 12 17:00 00525.png -rw-r--r-- 1 root root 190906 Jan 12 17:00 00526.png -rw-r--r-- 1 root root 189632 Jan 12 17:00 00527.png -rw-r--r-- 1 root root 189591 Jan 12 17:00 00528.png -rw-r--r-- 1 root root 190276 Jan 12 17:00 00529.png -rw-r--r-- 1 root root 191421 Jan 12 17:00 00530.png -rw-r--r-- 1 root root 198381 Jan 12 17:00 00531.png -rw-r--r-- 1 root root 194948 Jan 12 17:00 00532.png -rw-r--r-- 1 root root 193132 Jan 12 17:00 00533.png -rw-r--r-- 1 root root 192273 Jan 12 17:00 00534.png -rw-r--r-- 1 root root 190501 Jan 12 17:00 00535.png -rw-r--r-- 1 root root 190904 Jan 12 17:00 00536.png -rw-r--r-- 1 root root 188440 Jan 12 17:00 00537.png -rw-r--r-- 1 root root 194587 Jan 12 17:00 00538.png -rw-r--r-- 1 root root 199926 Jan 12 17:00 00539.png -rw-r--r-- 1 root root 194583 Jan 12 17:00 00540.png -rw-r--r-- 1 root root 193120 Jan 12 17:00 00541.png -rw-r--r-- 1 root root 192529 Jan 12 17:00 00542.png -rw-r--r-- 1 root root 191280 Jan 12 17:00 00543.png -rw-r--r-- 1 root root 189255 Jan 12 17:00 00544.png -rw-r--r-- 1 root root 192300 Jan 12 17:00 00545.png -rw-r--r-- 1 root root 200965 Jan 12 17:00 00546.png -rw-r--r-- 1 root root 198651 Jan 12 17:00 00547.png -rw-r--r-- 1 root root 194944 Jan 12 17:00 00548.png -rw-r--r-- 1 root root 194310 Jan 12 17:00 00549.png -rw-r--r-- 1 root root 195691 Jan 12 17:00 00550.png -rw-r--r-- 1 root root 193654 Jan 12 17:00 00551.png -rw-r--r-- 1 root root 194954 Jan 12 17:00 00552.png -rw-r--r-- 1 root root 198778 Jan 12 17:00 00553.png -rw-r--r-- 1 root root 201774 Jan 12 17:00 00554.png -rw-r--r-- 1 root root 199150 Jan 12 17:00 00555.png -rw-r--r-- 1 root root 197640 Jan 12 17:00 00556.png -rw-r--r-- 1 root root 198418 Jan 12 17:00 00557.png -rw-r--r-- 1 root root 196810 Jan 12 17:00 00558.png -rw-r--r-- 1 root root 196679 Jan 12 17:00 00559.png -rw-r--r-- 1 root root 198311 Jan 12 17:00 00560.png -rw-r--r-- 1 root root 201768 Jan 12 17:00 00561.png -rw-r--r-- 1 root root 200886 Jan 12 17:00 00562.png -rw-r--r-- 1 root root 200183 Jan 12 17:00 00563.png -rw-r--r-- 1 root root 199090 Jan 12 17:00 00564.png -rw-r--r-- 1 root root 198538 Jan 12 17:00 00565.png -rw-r--r-- 1 root root 198268 Jan 12 17:00 00566.png -rw-r--r-- 1 root root 198592 Jan 12 17:00 00567.png -rw-r--r-- 1 root root 201364 Jan 12 17:00 00568.png -rw-r--r-- 1 root root 203613 Jan 12 17:00 00569.png -rw-r--r-- 1 root root 201511 Jan 12 17:00 00570.png -rw-r--r-- 1 root root 199791 Jan 12 17:00 00571.png -rw-r--r-- 1 root root 199829 Jan 12 17:00 00572.png -rw-r--r-- 1 root root 199887 Jan 12 17:00 00573.png -rw-r--r-- 1 root root 200135 Jan 12 17:00 00574.png -rw-r--r-- 1 root root 200884 Jan 12 17:00 00575.png -rw-r--r-- 1 root root 203799 Jan 12 17:00 00576.png -rw-r--r-- 1 root root 202319 Jan 12 17:00 00577.png -rw-r--r-- 1 root root 202027 Jan 12 17:00 00578.png -rw-r--r-- 1 root root 201528 Jan 12 17:00 00579.png -rw-r--r-- 1 root root 200843 Jan 12 17:00 00580.png -rw-r--r-- 1 root root 200640 Jan 12 17:00 00581.png -rw-r--r-- 1 root root 202329 Jan 12 17:00 00582.png -rw-r--r-- 1 root root 206183 Jan 12 17:00 00583.png -rw-r--r-- 1 root root 206545 Jan 12 17:00 00584.png -rw-r--r-- 1 root root 206376 Jan 12 17:00 00585.png -rw-r--r-- 1 root root 205761 Jan 12 17:00 00586.png -rw-r--r-- 1 root root 203543 Jan 12 17:00 00587.png -rw-r--r-- 1 root root 202988 Jan 12 17:00 00588.png -rw-r--r-- 1 root root 202990 Jan 12 17:00 00589.png -rw-r--r-- 1 root root 204780 Jan 12 17:00 00590.png -rw-r--r-- 1 root root 206892 Jan 12 17:00 00591.png -rw-r--r-- 1 root root 207471 Jan 12 17:00 00592.png -rw-r--r-- 1 root root 206661 Jan 12 17:00 00593.png -rw-r--r-- 1 root root 203208 Jan 12 17:00 00594.png -rw-r--r-- 1 root root 202656 Jan 12 17:00 00595.png -rw-r--r-- 1 root root 204122 Jan 12 17:00 00596.png -rw-r--r-- 1 root root 203923 Jan 12 17:00 00597.png -rw-r--r-- 1 root root 204540 Jan 12 17:00 00598.png -rw-r--r-- 1 root root 204587 Jan 12 17:00 00599.png -rw-r--r-- 1 root root 204021 Jan 12 17:00 00600.png -rw-r--r-- 1 root root 205065 Jan 12 17:00 00601.png -rw-r--r-- 1 root root 203691 Jan 12 17:00 00602.png -rw-r--r-- 1 root root 204237 Jan 12 17:00 00603.png -rw-r--r-- 1 root root 204684 Jan 12 17:00 00604.png -rw-r--r-- 1 root root 204640 Jan 12 17:00 00605.png -rw-r--r-- 1 root root 207110 Jan 12 17:00 00606.png -rw-r--r-- 1 root root 205664 Jan 12 17:00 00607.png -rw-r--r-- 1 root root 206200 Jan 12 17:00 00608.png -rw-r--r-- 1 root root 204691 Jan 12 17:00 00609.png -rw-r--r-- 1 root root 204908 Jan 12 17:00 00610.png -rw-r--r-- 1 root root 205339 Jan 12 17:00 00611.png -rw-r--r-- 1 root root 203837 Jan 12 17:00 00612.png -rw-r--r-- 1 root root 205973 Jan 12 17:00 00613.png -rw-r--r-- 1 root root 205814 Jan 12 17:00 00614.png -rw-r--r-- 1 root root 206395 Jan 12 17:00 00615.png -rw-r--r-- 1 root root 206021 Jan 12 17:00 00616.png -rw-r--r-- 1 root root 204020 Jan 12 17:00 00617.png -rw-r--r-- 1 root root 203947 Jan 12 17:00 00618.png -rw-r--r-- 1 root root 205645 Jan 12 17:00 00619.png -rw-r--r-- 1 root root 204548 Jan 12 17:00 00620.png -rw-r--r-- 1 root root 206864 Jan 12 17:00 00621.png -rw-r--r-- 1 root root 206036 Jan 12 17:00 00622.png -rw-r--r-- 1 root root 205738 Jan 12 17:00 00623.png -rw-r--r-- 1 root root 205431 Jan 12 17:01 00624.png -rw-r--r-- 1 root root 204468 Jan 12 17:01 00625.png -rw-r--r-- 1 root root 205521 Jan 12 17:01 00626.png -rw-r--r-- 1 root root 205546 Jan 12 17:01 00627.png -rw-r--r-- 1 root root 205612 Jan 12 17:01 00628.png -rw-r--r-- 1 root root 208239 Jan 12 17:01 00629.png -rw-r--r-- 1 root root 206105 Jan 12 17:01 00630.png -rw-r--r-- 1 root root 206027 Jan 12 17:01 00631.png -rw-r--r-- 1 root root 205235 Jan 12 17:01 00632.png -rw-r--r-- 1 root root 205838 Jan 12 17:01 00633.png -rw-r--r-- 1 root root 206022 Jan 12 17:01 00634.png -rw-r--r-- 1 root root 204510 Jan 12 17:01 00635.png -rw-r--r-- 1 root root 209178 Jan 12 17:01 00636.png -rw-r--r-- 1 root root 207516 Jan 12 17:01 00637.png -rw-r--r-- 1 root root 206617 Jan 12 17:01 00638.png -rw-r--r-- 1 root root 205312 Jan 12 17:01 00639.png -rw-r--r-- 1 root root 205886 Jan 12 17:01 00640.png -rw-r--r-- 1 root root 206401 Jan 12 17:01 00641.png -rw-r--r-- 1 root root 206430 Jan 12 17:01 00642.png -rw-r--r-- 1 root root 208082 Jan 12 17:01 00643.png -rw-r--r-- 1 root root 210871 Jan 12 17:01 00644.png -rw-r--r-- 1 root root 207732 Jan 12 17:01 00645.png -rw-r--r-- 1 root root 206744 Jan 12 17:01 00646.png -rw-r--r-- 1 root root 207085 Jan 12 17:01 00647.png -rw-r--r-- 1 root root 206843 Jan 12 17:01 00648.png -rw-r--r-- 1 root root 207232 Jan 12 17:01 00649.png -rw-r--r-- 1 root root 207249 Jan 12 17:01 00650.png -rw-r--r-- 1 root root 208700 Jan 12 17:01 00651.png -rw-r--r-- 1 root root 208552 Jan 12 17:01 00652.png -rw-r--r-- 1 root root 207709 Jan 12 17:01 00653.png -rw-r--r-- 1 root root 207694 Jan 12 17:01 00654.png -rw-r--r-- 1 root root 207503 Jan 12 17:01 00655.png -rw-r--r-- 1 root root 208692 Jan 12 17:01 00656.png -rw-r--r-- 1 root root 208037 Jan 12 17:01 00657.png -rw-r--r-- 1 root root 208711 Jan 12 17:01 00658.png -rw-r--r-- 1 root root 209898 Jan 12 17:01 00659.png -rw-r--r-- 1 root root 208311 Jan 12 17:01 00660.png -rw-r--r-- 1 root root 208289 Jan 12 17:01 00661.png -rw-r--r-- 1 root root 208496 Jan 12 17:01 00662.png -rw-r--r-- 1 root root 209928 Jan 12 17:01 00663.png -rw-r--r-- 1 root root 209084 Jan 12 17:01 00664.png -rw-r--r-- 1 root root 208740 Jan 12 17:01 00665.png -rw-r--r-- 1 root root 209803 Jan 12 17:01 00666.png -rw-r--r-- 1 root root 210107 Jan 12 17:01 00667.png -rw-r--r-- 1 root root 209151 Jan 12 17:01 00668.png -rw-r--r-- 1 root root 209238 Jan 12 17:01 00669.png -rw-r--r-- 1 root root 211096 Jan 12 17:01 00670.png -rw-r--r-- 1 root root 211083 Jan 12 17:01 00671.png -rw-r--r-- 1 root root 212218 Jan 12 17:01 00672.png -rw-r--r-- 1 root root 210018 Jan 12 17:01 00673.png -rw-r--r-- 1 root root 210843 Jan 12 17:01 00674.png -rw-r--r-- 1 root root 210634 Jan 12 17:01 00675.png -rw-r--r-- 1 root root 210242 Jan 12 17:01 00676.png -rw-r--r-- 1 root root 212128 Jan 12 17:01 00677.png -rw-r--r-- 1 root root 211765 Jan 12 17:01 00678.png -rw-r--r-- 1 root root 211685 Jan 12 17:01 00679.png -rw-r--r-- 1 root root 212253 Jan 12 17:01 00680.png -rw-r--r-- 1 root root 212596 Jan 12 17:01 00681.png -rw-r--r-- 1 root root 212381 Jan 12 17:01 00682.png -rw-r--r-- 1 root root 212291 Jan 12 17:01 00683.png -rw-r--r-- 1 root root 213689 Jan 12 17:01 00684.png -rw-r--r-- 1 root root 212914 Jan 12 17:01 00685.png -rw-r--r-- 1 root root 212489 Jan 12 17:01 00686.png -rw-r--r-- 1 root root 212544 Jan 12 17:01 00687.png -rw-r--r-- 1 root root 214048 Jan 12 17:01 00688.png -rw-r--r-- 1 root root 213278 Jan 12 17:01 00689.png -rw-r--r-- 1 root root 213856 Jan 12 17:01 00690.png -rw-r--r-- 1 root root 214254 Jan 12 17:01 00691.png -rw-r--r-- 1 root root 213821 Jan 12 17:01 00692.png -rw-r--r-- 1 root root 214042 Jan 12 17:01 00693.png -rw-r--r-- 1 root root 214782 Jan 12 17:01 00694.png -rw-r--r-- 1 root root 214133 Jan 12 17:01 00695.png -rw-r--r-- 1 root root 215069 Jan 12 17:01 00696.png -rw-r--r-- 1 root root 215416 Jan 12 17:01 00697.png -rw-r--r-- 1 root root 215376 Jan 12 17:01 00698.png -rw-r--r-- 1 root root 214377 Jan 12 17:01 00699.png -rw-r--r-- 1 root root 214541 Jan 12 17:01 00700.png -rw-r--r-- 1 root root 215474 Jan 12 17:01 00701.png -rw-r--r-- 1 root root 215174 Jan 12 17:01 00702.png -rw-r--r-- 1 root root 217095 Jan 12 17:01 00703.png -rw-r--r-- 1 root root 214512 Jan 12 17:01 00704.png -rw-r--r-- 1 root root 214526 Jan 12 17:01 00705.png -rw-r--r-- 1 root root 216179 Jan 12 17:01 00706.png -rw-r--r-- 1 root root 215758 Jan 12 17:01 00707.png -rw-r--r-- 1 root root 215632 Jan 12 17:01 00708.png -rw-r--r-- 1 root root 215512 Jan 12 17:01 00709.png -rw-r--r-- 1 root root 216290 Jan 12 17:01 00710.png -rw-r--r-- 1 root root 213977 Jan 12 17:01 00711.png -rw-r--r-- 1 root root 214020 Jan 12 17:01 00712.png -rw-r--r-- 1 root root 216598 Jan 12 17:01 00713.png -rw-r--r-- 1 root root 215712 Jan 12 17:01 00714.png -rw-r--r-- 1 root root 215659 Jan 12 17:01 00715.png -rw-r--r-- 1 root root 215989 Jan 12 17:01 00716.png -rw-r--r-- 1 root root 216405 Jan 12 17:01 00717.png -rw-r--r-- 1 root root 217232 Jan 12 17:01 00718.png -rw-r--r-- 1 root root 214649 Jan 12 17:01 00719.png -rw-r--r-- 1 root root 216969 Jan 12 17:01 00720.png -rw-r--r-- 1 root root 216218 Jan 12 17:01 00721.png -rw-r--r-- 1 root root 216881 Jan 12 17:01 00722.png -rw-r--r-- 1 root root 217131 Jan 12 17:01 00723.png -rw-r--r-- 1 root root 216702 Jan 12 17:01 00724.png -rw-r--r-- 1 root root 216475 Jan 12 17:01 00725.png -rw-r--r-- 1 root root 214140 Jan 12 17:01 00726.png -rw-r--r-- 1 root root 216837 Jan 12 17:01 00727.png -rw-r--r-- 1 root root 217073 Jan 12 17:01 00728.png -rw-r--r-- 1 root root 216089 Jan 12 17:01 00729.png -rw-r--r-- 1 root root 217884 Jan 12 17:01 00730.png -rw-r--r-- 1 root root 218363 Jan 12 17:01 00731.png -rw-r--r-- 1 root root 218569 Jan 12 17:01 00732.png -rw-r--r-- 1 root root 217299 Jan 12 17:01 00733.png -rw-r--r-- 1 root root 214650 Jan 12 17:01 00734.png -rw-r--r-- 1 root root 217661 Jan 12 17:01 00735.png -rw-r--r-- 1 root root 216709 Jan 12 17:01 00736.png -rw-r--r-- 1 root root 217694 Jan 12 17:01 00737.png -rw-r--r-- 1 root root 218806 Jan 12 17:01 00738.png -rw-r--r-- 1 root root 219078 Jan 12 17:01 00739.png -rw-r--r-- 1 root root 218478 Jan 12 17:01 00740.png -rw-r--r-- 1 root root 218458 Jan 12 17:01 00741.png -rw-r--r-- 1 root root 217872 Jan 12 17:01 00742.png -rw-r--r-- 1 root root 217331 Jan 12 17:01 00743.png -rw-r--r-- 1 root root 217954 Jan 12 17:01 00744.png -rw-r--r-- 1 root root 218943 Jan 12 17:01 00745.png -rw-r--r-- 1 root root 219725 Jan 12 17:01 00746.png -rw-r--r-- 1 root root 219598 Jan 12 17:01 00747.png -rw-r--r-- 1 root root 217803 Jan 12 17:01 00748.png -rw-r--r-- 1 root root 216781 Jan 12 17:01 00749.png -rw-r--r-- 1 root root 217799 Jan 12 17:01 00750.png -rw-r--r-- 1 root root 217918 Jan 12 17:01 00751.png -rw-r--r-- 1 root root 219270 Jan 12 17:01 00752.png -rw-r--r-- 1 root root 220206 Jan 12 17:01 00753.png -rw-r--r-- 1 root root 220629 Jan 12 17:01 00754.png -rw-r--r-- 1 root root 219359 Jan 12 17:01 00755.png -rw-r--r-- 1 root root 217590 Jan 12 17:01 00756.png -rw-r--r-- 1 root root 218127 Jan 12 17:01 00757.png -rw-r--r-- 1 root root 218987 Jan 12 17:01 00758.png -rw-r--r-- 1 root root 219033 Jan 12 17:01 00759.png -rw-r--r-- 1 root root 219923 Jan 12 17:01 00760.png -rw-r--r-- 1 root root 221039 Jan 12 17:01 00761.png -rw-r--r-- 1 root root 221106 Jan 12 17:01 00762.png -rw-r--r-- 1 root root 219336 Jan 12 17:01 00763.png -rw-r--r-- 1 root root 217894 Jan 12 17:01 00764.png -rw-r--r-- 1 root root 219219 Jan 12 17:01 00765.png -rw-r--r-- 1 root root 219522 Jan 12 17:01 00766.png -rw-r--r-- 1 root root 220777 Jan 12 17:01 00767.png -rw-r--r-- 1 root root 221235 Jan 12 17:02 00768.png -rw-r--r-- 1 root root 222141 Jan 12 17:02 00769.png -rw-r--r-- 1 root root 220525 Jan 12 17:02 00770.png -rw-r--r-- 1 root root 218671 Jan 12 17:02 00771.png -rw-r--r-- 1 root root 219610 Jan 12 17:02 00772.png -rw-r--r-- 1 root root 219670 Jan 12 17:02 00773.png -rw-r--r-- 1 root root 220218 Jan 12 17:02 00774.png -rw-r--r-- 1 root root 222322 Jan 12 17:02 00775.png -rw-r--r-- 1 root root 222836 Jan 12 17:02 00776.png -rw-r--r-- 1 root root 222526 Jan 12 17:02 00777.png -rw-r--r-- 1 root root 220049 Jan 12 17:02 00778.png -rw-r--r-- 1 root root 219191 Jan 12 17:02 00779.png -rw-r--r-- 1 root root 219881 Jan 12 17:02 00780.png -rw-r--r-- 1 root root 220959 Jan 12 17:02 00781.png -rw-r--r-- 1 root root 221556 Jan 12 17:02 00782.png -rw-r--r-- 1 root root 222237 Jan 12 17:02 00783.png -rw-r--r-- 1 root root 221140 Jan 12 17:02 00784.png -rw-r--r-- 1 root root 217934 Jan 12 17:02 00785.png -rw-r--r-- 1 root root 217192 Jan 12 17:02 00786.png -rw-r--r-- 1 root root 216895 Jan 12 17:02 00787.png -rw-r--r-- 1 root root 217183 Jan 12 17:02 00788.png -rw-r--r-- 1 root root 217990 Jan 12 17:02 00789.png -rw-r--r-- 1 root root 216951 Jan 12 17:02 00790.png -rw-r--r-- 1 root root 217388 Jan 12 17:02 00791.png -rw-r--r-- 1 root root 217590 Jan 12 17:02 00792.png -rw-r--r-- 1 root root 216995 Jan 12 17:02 00793.png -rw-r--r-- 1 root root 216931 Jan 12 17:02 00794.png -rw-r--r-- 1 root root 216943 Jan 12 17:02 00795.png -rw-r--r-- 1 root root 217531 Jan 12 17:02 00796.png -rw-r--r-- 1 root root 216573 Jan 12 17:02 00797.png -rw-r--r-- 1 root root 216600 Jan 12 17:02 00798.png -rw-r--r-- 1 root root 217233 Jan 12 17:02 00799.png -rw-r--r-- 1 root root 217507 Jan 12 17:02 00800.png -rw-r--r-- 1 root root 217611 Jan 12 17:02 00801.png -rw-r--r-- 1 root root 217423 Jan 12 17:02 00802.png -rw-r--r-- 1 root root 217427 Jan 12 17:02 00803.png -rw-r--r-- 1 root root 217356 Jan 12 17:02 00804.png -rw-r--r-- 1 root root 217200 Jan 12 17:02 00805.png -rw-r--r-- 1 root root 217936 Jan 12 17:02 00806.png -rw-r--r-- 1 root root 217526 Jan 12 17:02 00807.png -rw-r--r-- 1 root root 217276 Jan 12 17:02 00808.png -rw-r--r-- 1 root root 217362 Jan 12 17:02 00809.png -rw-r--r-- 1 root root 217150 Jan 12 17:02 00810.png -rw-r--r-- 1 root root 217795 Jan 12 17:02 00811.png -rw-r--r-- 1 root root 216794 Jan 12 17:02 00812.png -rw-r--r-- 1 root root 216811 Jan 12 17:02 00813.png -rw-r--r-- 1 root root 217236 Jan 12 17:02 00814.png -rw-r--r-- 1 root root 216614 Jan 12 17:02 00815.png -rw-r--r-- 1 root root 217153 Jan 12 17:02 00816.png -rw-r--r-- 1 root root 217524 Jan 12 17:02 00817.png -rw-r--r-- 1 root root 216945 Jan 12 17:02 00818.png -rw-r--r-- 1 root root 216136 Jan 12 17:02 00819.png -rw-r--r-- 1 root root 216186 Jan 12 17:02 00820.png -rw-r--r-- 1 root root 217293 Jan 12 17:02 00821.png -rw-r--r-- 1 root root 216483 Jan 12 17:02 00822.png -rw-r--r-- 1 root root 216033 Jan 12 17:02 00823.png -rw-r--r-- 1 root root 216703 Jan 12 17:02 00824.png -rw-r--r-- 1 root root 216396 Jan 12 17:02 00825.png -rw-r--r-- 1 root root 216615 Jan 12 17:02 00826.png -rw-r--r-- 1 root root 216289 Jan 12 17:02 00827.png -rw-r--r-- 1 root root 217022 Jan 12 17:02 00828.png -rw-r--r-- 1 root root 216279 Jan 12 17:02 00829.png -rw-r--r-- 1 root root 216261 Jan 12 17:02 00830.png -rw-r--r-- 1 root root 216046 Jan 12 17:02 00831.png -rw-r--r-- 1 root root 216433 Jan 12 17:02 00832.png -rw-r--r-- 1 root root 216938 Jan 12 17:02 00833.png -rw-r--r-- 1 root root 216342 Jan 12 17:02 00834.png -rw-r--r-- 1 root root 216681 Jan 12 17:02 00835.png -rw-r--r-- 1 root root 216452 Jan 12 17:02 00836.png -rw-r--r-- 1 root root 216655 Jan 12 17:02 00837.png -rw-r--r-- 1 root root 216680 Jan 12 17:02 00838.png -rw-r--r-- 1 root root 216940 Jan 12 17:02 00839.png -rw-r--r-- 1 root root 216852 Jan 12 17:02 00840.png -rw-r--r-- 1 root root 216746 Jan 12 17:02 00841.png -rw-r--r-- 1 root root 216829 Jan 12 17:02 00842.png -rw-r--r-- 1 root root 217249 Jan 12 17:02 00843.png -rw-r--r-- 1 root root 217007 Jan 12 17:02 00844.png -rw-r--r-- 1 root root 215972 Jan 12 17:02 00845.png -rw-r--r-- 1 root root 216597 Jan 12 17:02 00846.png -rw-r--r-- 1 root root 216615 Jan 12 17:02 00847.png -rw-r--r-- 1 root root 218442 Jan 12 17:02 00848.png -rw-r--r-- 1 root root 216681 Jan 12 17:02 00849.png -rw-r--r-- 1 root root 217423 Jan 12 17:02 00850.png -rw-r--r-- 1 root root 219029 Jan 12 17:02 00851.png -rw-r--r-- 1 root root 217870 Jan 12 17:02 00852.png -rw-r--r-- 1 root root 218432 Jan 12 17:02 00853.png -rw-r--r-- 1 root root 219722 Jan 12 17:02 00854.png -rw-r--r-- 1 root root 219233 Jan 12 17:02 00855.png -rw-r--r-- 1 root root 221005 Jan 12 17:02 00856.png -rw-r--r-- 1 root root 221249 Jan 12 17:02 00857.png -rw-r--r-- 1 root root 220156 Jan 12 17:02 00858.png -rw-r--r-- 1 root root 221088 Jan 12 17:02 00859.png -rw-r--r-- 1 root root 220097 Jan 12 17:02 00860.png -rw-r--r-- 1 root root 221348 Jan 12 17:02 00861.png -rw-r--r-- 1 root root 221866 Jan 12 17:02 00862.png -rw-r--r-- 1 root root 221579 Jan 12 17:02 00863.png -rw-r--r-- 1 root root 221798 Jan 12 17:02 00864.png -rw-r--r-- 1 root root 221888 Jan 12 17:02 00865.png -rw-r--r-- 1 root root 222539 Jan 12 17:02 00866.png -rw-r--r-- 1 root root 222188 Jan 12 17:02 00867.png -rw-r--r-- 1 root root 221676 Jan 12 17:02 00868.png -rw-r--r-- 1 root root 222172 Jan 12 17:02 00869.png -rw-r--r-- 1 root root 222036 Jan 12 17:02 00870.png -rw-r--r-- 1 root root 222006 Jan 12 17:02 00871.png -rw-r--r-- 1 root root 222327 Jan 12 17:02 00872.png -rw-r--r-- 1 root root 222522 Jan 12 17:02 00873.png -rw-r--r-- 1 root root 222578 Jan 12 17:02 00874.png -rw-r--r-- 1 root root 222344 Jan 12 17:02 00875.png -rw-r--r-- 1 root root 223141 Jan 12 17:02 00876.png -rw-r--r-- 1 root root 223156 Jan 12 17:02 00877.png -rw-r--r-- 1 root root 223008 Jan 12 17:02 00878.png -rw-r--r-- 1 root root 223003 Jan 12 17:02 00879.png -rw-r--r-- 1 root root 223516 Jan 12 17:02 00880.png -rw-r--r-- 1 root root 223257 Jan 12 17:02 00881.png -rw-r--r-- 1 root root 223657 Jan 12 17:02 00882.png -rw-r--r-- 1 root root 222867 Jan 12 17:02 00883.png -rw-r--r-- 1 root root 223521 Jan 12 17:02 00884.png -rw-r--r-- 1 root root 222747 Jan 12 17:02 00885.png -rw-r--r-- 1 root root 223399 Jan 12 17:02 00886.png -rw-r--r-- 1 root root 222954 Jan 12 17:02 00887.png -rw-r--r-- 1 root root 222732 Jan 12 17:02 00888.png -rw-r--r-- 1 root root 222803 Jan 12 17:02 00889.png -rw-r--r-- 1 root root 222813 Jan 12 17:02 00890.png -rw-r--r-- 1 root root 223492 Jan 12 17:02 00891.png -rw-r--r-- 1 root root 223236 Jan 12 17:02 00892.png -rw-r--r-- 1 root root 223236 Jan 12 17:02 00893.png -rw-r--r-- 1 root root 223135 Jan 12 17:02 00894.png -rw-r--r-- 1 root root 223523 Jan 12 17:02 00895.png -rw-r--r-- 1 root root 223452 Jan 12 17:02 00896.png -rw-r--r-- 1 root root 223678 Jan 12 17:02 00897.png -rw-r--r-- 1 root root 223315 Jan 12 17:02 00898.png -rw-r--r-- 1 root root 223553 Jan 12 17:02 00899.png -rw-r--r-- 1 root root 223251 Jan 12 17:02 00900.png -rw-r--r-- 1 root root 223241 Jan 12 17:02 00901.png -rw-r--r-- 1 root root 223919 Jan 12 17:02 00902.png -rw-r--r-- 1 root root 222847 Jan 12 17:02 00903.png -rw-r--r-- 1 root root 223253 Jan 12 17:02 00904.png -rw-r--r-- 1 root root 222965 Jan 12 17:02 00905.png -rw-r--r-- 1 root root 221595 Jan 12 17:02 00906.png -rw-r--r-- 1 root root 220546 Jan 12 17:02 00907.png -rw-r--r-- 1 root root 221554 Jan 12 17:02 00908.png -rw-r--r-- 1 root root 223267 Jan 12 17:02 00909.png -rw-r--r-- 1 root root 223409 Jan 12 17:02 00910.png -rw-r--r-- 1 root root 223294 Jan 12 17:02 00911.png -rw-r--r-- 1 root root 223496 Jan 12 17:03 00912.png -rw-r--r-- 1 root root 223613 Jan 12 17:03 00913.png -rw-r--r-- 1 root root 223928 Jan 12 17:03 00914.png -rw-r--r-- 1 root root 224027 Jan 12 17:03 00915.png -rw-r--r-- 1 root root 222927 Jan 12 17:03 00916.png -rw-r--r-- 1 root root 222701 Jan 12 17:03 00917.png -rw-r--r-- 1 root root 222500 Jan 12 17:03 00918.png -rw-r--r-- 1 root root 222653 Jan 12 17:03 00919.png -rw-r--r-- 1 root root 221848 Jan 12 17:03 00920.png -rw-r--r-- 1 root root 222627 Jan 12 17:03 00921.png -rw-r--r-- 1 root root 221927 Jan 12 17:03 00922.png -rw-r--r-- 1 root root 222724 Jan 12 17:03 00923.png -rw-r--r-- 1 root root 223251 Jan 12 17:03 00924.png -rw-r--r-- 1 root root 223419 Jan 12 17:03 00925.png -rw-r--r-- 1 root root 223309 Jan 12 17:03 00926.png -rw-r--r-- 1 root root 225434 Jan 12 17:03 00927.png -rw-r--r-- 1 root root 224783 Jan 12 17:03 00928.png -rw-r--r-- 1 root root 225481 Jan 12 17:03 00929.png -rw-r--r-- 1 root root 225234 Jan 12 17:03 00930.png -rw-r--r-- 1 root root 225420 Jan 12 17:03 00931.png -rw-r--r-- 1 root root 225406 Jan 12 17:03 00932.png -rw-r--r-- 1 root root 224335 Jan 12 17:03 00933.png -rw-r--r-- 1 root root 224667 Jan 12 17:03 00934.png ffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1) configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared libavutil 56. 31.100 / 56. 31.100 libavcodec 58. 54.100 / 58. 54.100 libavformat 58. 29.100 / 58. 29.100 libavdevice 58. 8.100 / 58. 8.100 libavfilter 7. 57.100 / 7. 57.100 libavresample 4. 0. 0 / 4. 0. 0 libswscale 5. 5.100 / 5. 5.100 libswresample 3. 5.100 / 3. 5.100 libpostproc 55. 5.100 / 55. 5.100 [image2 @ 0x55800bb6c6c0] Pattern type 'glob_sequence' is deprecated: use pattern_type 'glob' instead Input #0, image2, from './outputs/%*.png': Duration: 00:00:37.40, start: 0.000000, bitrate: N/A Stream #0:0: Video: png, rgb24(pc), 384x512, 25 fps, 25 tbr, 25 tbn, 25 tbc Guessed Channel Layout for Input Stream #1.0 : stereo Input #1, aiff, from '/tmp/tmpdifwcsb9ushuaia.aif': Duration: 00:01:02.29, start: 0.000000, bitrate: 1411 kb/s Stream #1:0: Audio: pcm_s16be, 44100 Hz, stereo, s16, 1411 kb/s Stream mapping: Stream #0:0 -> #0:0 (png (native) -> h264 (libx264)) Stream #1:0 -> #0:1 (pcm_s16be (native) -> aac (native)) Press [q] to stop, [?] for help [image2 @ 0x55800bb6c6c0] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8) [libx264 @ 0x55800bbc1200] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512 [libx264 @ 0x55800bbc1200] profile High, level 2.1 [libx264 @ 0x55800bbc1200] 264 - core 155 r2917 0a84d98 - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=15 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mp4, to '/tmp/z_interpollation.mp4': Metadata: encoder : Lavf58.29.100 Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p(progressive), 384x512, q=-1--1, 15 fps, 15360 tbn, 15 tbc Metadata: encoder : Lavc58.54.100 libx264 Side data: cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1 Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s Metadata: encoder : Lavc58.54.100 aac frame= 118 fps=0.0 q=24.0 size= 256kB time=00:00:03.00 bitrate= 699.2kbits/s speed=5.94x frame= 208 fps=207 q=24.0 size= 512kB time=00:00:09.00 bitrate= 466.1kbits/s speed=8.95x frame= 304 fps=202 q=24.0 size= 1024kB time=00:00:15.44 bitrate= 543.3kbits/s speed=10.3x frame= 426 fps=212 q=24.0 size= 1280kB time=00:00:23.56 bitrate= 444.9kbits/s speed=11.7x frame= 536 fps=214 q=24.0 size= 1792kB time=00:00:30.86 bitrate= 475.6kbits/s speed=12.3x frame= 639 fps=213 q=24.0 size= 2048kB time=00:00:37.77 bitrate= 444.1kbits/s speed=12.6x frame= 746 fps=212 q=24.0 size= 2560kB time=00:00:44.86 bitrate= 467.4kbits/s speed=12.8x frame= 846 fps=211 q=24.0 size= 2816kB time=00:00:51.53 bitrate= 447.7kbits/s speed=12.8x [mp4 @ 0x55800bbbfd40] Starting second pass: moving the moov atom to the beginning of the file frame= 935 fps=199 q=-1.0 Lsize= 3457kB time=00:01:02.29 bitrate= 454.6kbits/s speed=13.2x video:2441kB audio:984kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.955053% [libx264 @ 0x55800bbc1200] frame I:4 Avg QP:18.01 size: 13405 [libx264 @ 0x55800bbc1200] frame P:248 Avg QP:20.39 size: 4380 [libx264 @ 0x55800bbc1200] frame B:683 Avg QP:23.34 size: 1989 [libx264 @ 0x55800bbc1200] consecutive B-frames: 0.7% 2.6% 9.0% 87.7% [libx264 @ 0x55800bbc1200] mb I I16..4: 29.1% 47.4% 23.5% [libx264 @ 0x55800bbc1200] mb P I16..4: 3.7% 3.7% 0.8% P16..4: 53.6% 17.0% 9.3% 0.0% 0.0% skip:11.8% [libx264 @ 0x55800bbc1200] mb B I16..4: 1.4% 1.1% 0.3% B16..8: 42.2% 10.2% 1.9% direct: 4.7% skip:38.2% L0:51.4% L1:41.2% BI: 7.4% [libx264 @ 0x55800bbc1200] 8x8 transform intra:42.7% inter:65.5% [libx264 @ 0x55800bbc1200] direct mvs spatial:98.8% temporal:1.2% [libx264 @ 0x55800bbc1200] coded y,uvDC,uvAC intra: 31.3% 65.0% 31.2% inter: 12.1% 34.2% 3.8% [libx264 @ 0x55800bbc1200] i16 v,h,dc,p: 11% 38% 4% 47% [libx264 @ 0x55800bbc1200] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 24% 19% 6% 10% 6% 13% 6% 7% [libx264 @ 0x55800bbc1200] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 19% 24% 17% 5% 10% 7% 9% 4% 5% [libx264 @ 0x55800bbc1200] i8c dc,h,v,p: 30% 42% 14% 14% [libx264 @ 0x55800bbc1200] Weighted P-Frames: Y:1.6% UV:1.6% [libx264 @ 0x55800bbc1200] ref P L0: 34.3% 4.5% 20.4% 27.2% 13.0% 0.6% [libx264 @ 0x55800bbc1200] ref B L0: 55.1% 21.8% 12.4% 10.7% [libx264 @ 0x55800bbc1200] ref B L1: 89.1% 10.9% [libx264 @ 0x55800bbc1200] kb/s:320.68 [aac @ 0x55800bbc2900] Qavg: 180.066 Thu Jan 12 17:03:08 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 NVIDIA A100-SXM... Off | 00000000:00:04.0 Off | 0 | | N/A 40C P0 54W / 400W | 40372MiB / 40960MiB | 0% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 196073 C 40369MiB | +-----------------------------------------------------------------------------+ total time 371.6371490955353
Prediction
pollinations/stable-diffusion-dance:dfb636aaInput
- width
- 512
- height
- 512
- prompts
- A painting of a moth A painting of a killer dragonfly Two fishes talking to each other in deep sea A painting of a moth
- audio_file
- Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%Stream Type LIVERemaining Time -00:00:0001x
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
- batch_size
- 20
- frame_rate
- 16
- random_seed
- 13
- prompt_scale
- 15
- style_suffix
- by paul klee, intricate detail
- audio_smoothing
- 0.85
- diffusion_steps
- 15
- audio_noise_scale
- 0.3
- audio_loudness_type
- peak
- frame_interpolation
{ "width": 512, "height": 512, "prompts": "A painting of a moth\nA painting of a killer dragonfly\nTwo fishes talking to each other in deep sea\nA painting of a moth", "audio_file": "https://replicate.delivery/pbxt/IEUhQkLT4CaUs08buoPAyXgVlvf0157xNiHcyukEfDDfWxB5/ganze_boot.mp3", "batch_size": 20, "frame_rate": 16, "random_seed": 13, "prompt_scale": 15, "style_suffix": "by paul klee, intricate detail", "audio_smoothing": 0.85, "diffusion_steps": 15, "audio_noise_scale": 0.3, "audio_loudness_type": "peak", "frame_interpolation": true }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "pollinations/stable-diffusion-dance:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", { input: { width: 512, height: 512, prompts: "A painting of a moth\nA painting of a killer dragonfly\nTwo fishes talking to each other in deep sea\nA painting of a moth", audio_file: "https://replicate.delivery/pbxt/IEUhQkLT4CaUs08buoPAyXgVlvf0157xNiHcyukEfDDfWxB5/ganze_boot.mp3", batch_size: 20, frame_rate: 16, random_seed: 13, prompt_scale: 15, style_suffix: "by paul klee, intricate detail", audio_smoothing: 0.85, diffusion_steps: 15, audio_noise_scale: 0.3, audio_loudness_type: "peak", frame_interpolation: true } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "pollinations/stable-diffusion-dance:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", input={ "width": 512, "height": 512, "prompts": "A painting of a moth\nA painting of a killer dragonfly\nTwo fishes talking to each other in deep sea\nA painting of a moth", "audio_file": "https://replicate.delivery/pbxt/IEUhQkLT4CaUs08buoPAyXgVlvf0157xNiHcyukEfDDfWxB5/ganze_boot.mp3", "batch_size": 20, "frame_rate": 16, "random_seed": 13, "prompt_scale": 15, "style_suffix": "by paul klee, intricate detail", "audio_smoothing": 0.85, "diffusion_steps": 15, "audio_noise_scale": 0.3, "audio_loudness_type": "peak", "frame_interpolation": True } ) # The pollinations/stable-diffusion-dance model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/pollinations/stable-diffusion-dance/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", "input": { "width": 512, "height": 512, "prompts": "A painting of a moth\\nA painting of a killer dragonfly\\nTwo fishes talking to each other in deep sea\\nA painting of a moth", "audio_file": "https://replicate.delivery/pbxt/IEUhQkLT4CaUs08buoPAyXgVlvf0157xNiHcyukEfDDfWxB5/ganze_boot.mp3", "batch_size": 20, "frame_rate": 16, "random_seed": 13, "prompt_scale": 15, "style_suffix": "by paul klee, intricate detail", "audio_smoothing": 0.85, "diffusion_steps": 15, "audio_noise_scale": 0.3, "audio_loudness_type": "peak", "frame_interpolation": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-02-02T20:36:31.701526Z", "created_at": "2023-02-02T20:27:51.715890Z", "data_removed": false, "error": null, "id": "quzpn5vsizfwvpgxx27o25lpey", "input": { "width": 512, "height": 512, "prompts": "A painting of a moth\nA painting of a killer dragonfly\nTwo fishes talking to each other in deep sea\nA painting of a moth", "audio_file": "https://replicate.delivery/pbxt/IEUhQkLT4CaUs08buoPAyXgVlvf0157xNiHcyukEfDDfWxB5/ganze_boot.mp3", "batch_size": 20, "frame_rate": 16, "random_seed": 13, "prompt_scale": 15, "style_suffix": "by paul klee, intricate detail", "audio_smoothing": 0.85, "diffusion_steps": 15, "audio_noise_scale": 0.3, "audio_loudness_type": "peak", "frame_interpolation": true }, "logs": "translated prompts ['A painting of a moth.by paul klee, intricate detail', 'A painting of a moth.by paul klee, intricate detail', 'A painting of a killer dragonfly.by paul klee, intricate detail', 'Two fishes talking to each other in deep sea.by paul klee, intricate detail', 'A painting of a moth.by paul klee, intricate detail']\n/root/.pyenv/versions/3.7.16/lib/python3.7/site-packages/librosa/util/decorators.py:88: UserWarning: PySoundFile failed. Trying audioread instead.\nreturn f(*args, **kwargs)\nusing audio file /tmp/tmpn1p348f2ganze_boot.mp3\nhop length 1378 audio length 529344 audio sr 22050\nlength of audio intensities 385\nnum frames per prompt 96\nembedding prompts\nGlobal seed set to 13\nprompt 0 shape torch.Size([1, 77, 768])\nlen smoothed_audio_intensities 385 len interpolated_prompts 384\ninterp prompts 0 shape torch.Size([1, 77, 768]) start_codes 0 shapetorch.Size([1, 4, 64, 64])\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:01<00:14, 1.03s/it]\n 13%|█▎ | 2/15 [00:01<00:09, 1.30it/s]\n 20%|██ | 3/15 [00:02<00:08, 1.44it/s]\n 27%|██▋ | 4/15 [00:02<00:07, 1.52it/s]\n 33%|███▎ | 5/15 [00:03<00:06, 1.57it/s]\n 40%|████ | 6/15 [00:04<00:05, 1.60it/s]\n 47%|████▋ | 7/15 [00:04<00:04, 1.62it/s]\n 53%|█████▎ | 8/15 [00:05<00:04, 1.63it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.64it/s]\n 67%|██████▋ | 10/15 [00:06<00:03, 1.64it/s]\n 73%|███████▎ | 11/15 [00:07<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:07<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:08<00:01, 1.65it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:09<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:09<00:00, 1.59it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00000.png\nSaved ./outputs/00001.png\nSaved ./outputs/00002.png\nSaved ./outputs/00003.png\nSaved ./outputs/00004.png\nSaved ./outputs/00005.png\nSaved ./outputs/00006.png\nSaved ./outputs/00007.png\nSaved ./outputs/00008.png\nSaved ./outputs/00009.png\nSaved ./outputs/00010.png\nSaved ./outputs/00011.png\nSaved ./outputs/00012.png\nSaved ./outputs/00013.png\nSaved ./outputs/00014.png\nSaved ./outputs/00015.png\nSaved ./outputs/00016.png\nSaved ./outputs/00017.png\nSaved ./outputs/00018.png\nSaved ./outputs/00019.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.30it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.69it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.68it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.67it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00020.png\nSaved ./outputs/00021.png\nSaved ./outputs/00022.png\nSaved ./outputs/00023.png\nSaved ./outputs/00024.png\nSaved ./outputs/00025.png\nSaved ./outputs/00026.png\nSaved ./outputs/00027.png\nSaved ./outputs/00028.png\nSaved ./outputs/00029.png\nSaved ./outputs/00030.png\nSaved ./outputs/00031.png\nSaved ./outputs/00032.png\nSaved ./outputs/00033.png\nSaved ./outputs/00034.png\nSaved ./outputs/00035.png\nSaved ./outputs/00036.png\nSaved ./outputs/00037.png\nSaved ./outputs/00038.png\nSaved ./outputs/00039.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.30it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.68it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.67it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00040.png\nSaved ./outputs/00041.png\nSaved ./outputs/00042.png\nSaved ./outputs/00043.png\nSaved ./outputs/00044.png\nSaved ./outputs/00045.png\nSaved ./outputs/00046.png\nSaved ./outputs/00047.png\nSaved ./outputs/00048.png\nSaved ./outputs/00049.png\nSaved ./outputs/00050.png\nSaved ./outputs/00051.png\nSaved ./outputs/00052.png\nSaved ./outputs/00053.png\nSaved ./outputs/00054.png\nSaved ./outputs/00055.png\nSaved ./outputs/00056.png\nSaved ./outputs/00057.png\nSaved ./outputs/00058.png\nSaved ./outputs/00059.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.29it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.67it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00060.png\nSaved ./outputs/00061.png\nSaved ./outputs/00062.png\nSaved ./outputs/00063.png\nSaved ./outputs/00064.png\nSaved ./outputs/00065.png\nSaved ./outputs/00066.png\nSaved ./outputs/00067.png\nSaved ./outputs/00068.png\nSaved ./outputs/00069.png\nSaved ./outputs/00070.png\nSaved ./outputs/00071.png\nSaved ./outputs/00072.png\nSaved ./outputs/00073.png\nSaved ./outputs/00074.png\nSaved ./outputs/00075.png\nSaved ./outputs/00076.png\nSaved ./outputs/00077.png\nSaved ./outputs/00078.png\nSaved ./outputs/00079.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.29it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00080.png\nSaved ./outputs/00081.png\nSaved ./outputs/00082.png\nSaved ./outputs/00083.png\nSaved ./outputs/00084.png\nSaved ./outputs/00085.png\nSaved ./outputs/00086.png\nSaved ./outputs/00087.png\nSaved ./outputs/00088.png\nSaved ./outputs/00089.png\nSaved ./outputs/00090.png\nSaved ./outputs/00091.png\nSaved ./outputs/00092.png\nSaved ./outputs/00093.png\nSaved ./outputs/00094.png\nSaved ./outputs/00095.png\nSaved ./outputs/00096.png\nSaved ./outputs/00097.png\nSaved ./outputs/00098.png\nSaved ./outputs/00099.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.30it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.68it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00100.png\nSaved ./outputs/00101.png\nSaved ./outputs/00102.png\nSaved ./outputs/00103.png\nSaved ./outputs/00104.png\nSaved ./outputs/00105.png\nSaved ./outputs/00106.png\nSaved ./outputs/00107.png\nSaved ./outputs/00108.png\nSaved ./outputs/00109.png\nSaved ./outputs/00110.png\nSaved ./outputs/00111.png\nSaved ./outputs/00112.png\nSaved ./outputs/00113.png\nSaved ./outputs/00114.png\nSaved ./outputs/00115.png\nSaved ./outputs/00116.png\nSaved ./outputs/00117.png\nSaved ./outputs/00118.png\nSaved ./outputs/00119.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.27it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00120.png\nSaved ./outputs/00121.png\nSaved ./outputs/00122.png\nSaved ./outputs/00123.png\nSaved ./outputs/00124.png\nSaved ./outputs/00125.png\nSaved ./outputs/00126.png\nSaved ./outputs/00127.png\nSaved ./outputs/00128.png\nSaved ./outputs/00129.png\nSaved ./outputs/00130.png\nSaved ./outputs/00131.png\nSaved ./outputs/00132.png\nSaved ./outputs/00133.png\nSaved ./outputs/00134.png\nSaved ./outputs/00135.png\nSaved ./outputs/00136.png\nSaved ./outputs/00137.png\nSaved ./outputs/00138.png\nSaved ./outputs/00139.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.30it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00140.png\nSaved ./outputs/00141.png\nSaved ./outputs/00142.png\nSaved ./outputs/00143.png\nSaved ./outputs/00144.png\nSaved ./outputs/00145.png\nSaved ./outputs/00146.png\nSaved ./outputs/00147.png\nSaved ./outputs/00148.png\nSaved ./outputs/00149.png\nSaved ./outputs/00150.png\nSaved ./outputs/00151.png\nSaved ./outputs/00152.png\nSaved ./outputs/00153.png\nSaved ./outputs/00154.png\nSaved ./outputs/00155.png\nSaved ./outputs/00156.png\nSaved ./outputs/00157.png\nSaved ./outputs/00158.png\nSaved ./outputs/00159.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.29it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00160.png\nSaved ./outputs/00161.png\nSaved ./outputs/00162.png\nSaved ./outputs/00163.png\nSaved ./outputs/00164.png\nSaved ./outputs/00165.png\nSaved ./outputs/00166.png\nSaved ./outputs/00167.png\nSaved ./outputs/00168.png\nSaved ./outputs/00169.png\nSaved ./outputs/00170.png\nSaved ./outputs/00171.png\nSaved ./outputs/00172.png\nSaved ./outputs/00173.png\nSaved ./outputs/00174.png\nSaved ./outputs/00175.png\nSaved ./outputs/00176.png\nSaved ./outputs/00177.png\nSaved ./outputs/00178.png\nSaved ./outputs/00179.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.29it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00180.png\nSaved ./outputs/00181.png\nSaved ./outputs/00182.png\nSaved ./outputs/00183.png\nSaved ./outputs/00184.png\nSaved ./outputs/00185.png\nSaved ./outputs/00186.png\nSaved ./outputs/00187.png\nSaved ./outputs/00188.png\nSaved ./outputs/00189.png\nSaved ./outputs/00190.png\nSaved ./outputs/00191.png\nSaved ./outputs/00192.png\nSaved ./outputs/00193.png\nSaved ./outputs/00194.png\nSaved ./outputs/00195.png\nSaved ./outputs/00196.png\nSaved ./outputs/00197.png\nSaved ./outputs/00198.png\nSaved ./outputs/00199.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.28it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.68it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00200.png\nSaved ./outputs/00201.png\nSaved ./outputs/00202.png\nSaved ./outputs/00203.png\nSaved ./outputs/00204.png\nSaved ./outputs/00205.png\nSaved ./outputs/00206.png\nSaved ./outputs/00207.png\nSaved ./outputs/00208.png\nSaved ./outputs/00209.png\nSaved ./outputs/00210.png\nSaved ./outputs/00211.png\nSaved ./outputs/00212.png\nSaved ./outputs/00213.png\nSaved ./outputs/00214.png\nSaved ./outputs/00215.png\nSaved ./outputs/00216.png\nSaved ./outputs/00217.png\nSaved ./outputs/00218.png\nSaved ./outputs/00219.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.30it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00220.png\nSaved ./outputs/00221.png\nSaved ./outputs/00222.png\nSaved ./outputs/00223.png\nSaved ./outputs/00224.png\nSaved ./outputs/00225.png\nSaved ./outputs/00226.png\nSaved ./outputs/00227.png\nSaved ./outputs/00228.png\nSaved ./outputs/00229.png\nSaved ./outputs/00230.png\nSaved ./outputs/00231.png\nSaved ./outputs/00232.png\nSaved ./outputs/00233.png\nSaved ./outputs/00234.png\nSaved ./outputs/00235.png\nSaved ./outputs/00236.png\nSaved ./outputs/00237.png\nSaved ./outputs/00238.png\nSaved ./outputs/00239.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.29it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00240.png\nSaved ./outputs/00241.png\nSaved ./outputs/00242.png\nSaved ./outputs/00243.png\nSaved ./outputs/00244.png\nSaved ./outputs/00245.png\nSaved ./outputs/00246.png\nSaved ./outputs/00247.png\nSaved ./outputs/00248.png\nSaved ./outputs/00249.png\nSaved ./outputs/00250.png\nSaved ./outputs/00251.png\nSaved ./outputs/00252.png\nSaved ./outputs/00253.png\nSaved ./outputs/00254.png\nSaved ./outputs/00255.png\nSaved ./outputs/00256.png\nSaved ./outputs/00257.png\nSaved ./outputs/00258.png\nSaved ./outputs/00259.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.29it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00260.png\nSaved ./outputs/00261.png\nSaved ./outputs/00262.png\nSaved ./outputs/00263.png\nSaved ./outputs/00264.png\nSaved ./outputs/00265.png\nSaved ./outputs/00266.png\nSaved ./outputs/00267.png\nSaved ./outputs/00268.png\nSaved ./outputs/00269.png\nSaved ./outputs/00270.png\nSaved ./outputs/00271.png\nSaved ./outputs/00272.png\nSaved ./outputs/00273.png\nSaved ./outputs/00274.png\nSaved ./outputs/00275.png\nSaved ./outputs/00276.png\nSaved ./outputs/00277.png\nSaved ./outputs/00278.png\nSaved ./outputs/00279.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.29it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00280.png\nSaved ./outputs/00281.png\nSaved ./outputs/00282.png\nSaved ./outputs/00283.png\nSaved ./outputs/00284.png\nSaved ./outputs/00285.png\nSaved ./outputs/00286.png\nSaved ./outputs/00287.png\nSaved ./outputs/00288.png\nSaved ./outputs/00289.png\nSaved ./outputs/00290.png\nSaved ./outputs/00291.png\nSaved ./outputs/00292.png\nSaved ./outputs/00293.png\nSaved ./outputs/00294.png\nSaved ./outputs/00295.png\nSaved ./outputs/00296.png\nSaved ./outputs/00297.png\nSaved ./outputs/00298.png\nSaved ./outputs/00299.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.26it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.17it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.93it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00300.png\nSaved ./outputs/00301.png\nSaved ./outputs/00302.png\nSaved ./outputs/00303.png\nSaved ./outputs/00304.png\nSaved ./outputs/00305.png\nSaved ./outputs/00306.png\nSaved ./outputs/00307.png\nSaved ./outputs/00308.png\nSaved ./outputs/00309.png\nSaved ./outputs/00310.png\nSaved ./outputs/00311.png\nSaved ./outputs/00312.png\nSaved ./outputs/00313.png\nSaved ./outputs/00314.png\nSaved ./outputs/00315.png\nSaved ./outputs/00316.png\nSaved ./outputs/00317.png\nSaved ./outputs/00318.png\nSaved ./outputs/00319.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.84it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.16it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.90it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.80it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.74it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.71it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.72it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00320.png\nSaved ./outputs/00321.png\nSaved ./outputs/00322.png\nSaved ./outputs/00323.png\nSaved ./outputs/00324.png\nSaved ./outputs/00325.png\nSaved ./outputs/00326.png\nSaved ./outputs/00327.png\nSaved ./outputs/00328.png\nSaved ./outputs/00329.png\nSaved ./outputs/00330.png\nSaved ./outputs/00331.png\nSaved ./outputs/00332.png\nSaved ./outputs/00333.png\nSaved ./outputs/00334.png\nSaved ./outputs/00335.png\nSaved ./outputs/00336.png\nSaved ./outputs/00337.png\nSaved ./outputs/00338.png\nSaved ./outputs/00339.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.28it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00340.png\nSaved ./outputs/00341.png\nSaved ./outputs/00342.png\nSaved ./outputs/00343.png\nSaved ./outputs/00344.png\nSaved ./outputs/00345.png\nSaved ./outputs/00346.png\nSaved ./outputs/00347.png\nSaved ./outputs/00348.png\nSaved ./outputs/00349.png\nSaved ./outputs/00350.png\nSaved ./outputs/00351.png\nSaved ./outputs/00352.png\nSaved ./outputs/00353.png\nSaved ./outputs/00354.png\nSaved ./outputs/00355.png\nSaved ./outputs/00356.png\nSaved ./outputs/00357.png\nSaved ./outputs/00358.png\nSaved ./outputs/00359.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.28it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.92it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.72it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.66it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.66it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.73it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00360.png\nSaved ./outputs/00361.png\nSaved ./outputs/00362.png\nSaved ./outputs/00363.png\nSaved ./outputs/00364.png\nSaved ./outputs/00365.png\nSaved ./outputs/00366.png\nSaved ./outputs/00367.png\nSaved ./outputs/00368.png\nSaved ./outputs/00369.png\nSaved ./outputs/00370.png\nSaved ./outputs/00371.png\nSaved ./outputs/00372.png\nSaved ./outputs/00373.png\nSaved ./outputs/00374.png\nSaved ./outputs/00375.png\nSaved ./outputs/00376.png\nSaved ./outputs/00377.png\nSaved ./outputs/00378.png\nSaved ./outputs/00379.png\ndata_batch torch.Size([4, 77, 768]) start_code_batch torch.Size([5, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n0%| | 0/15 [00:00<?, ?it/s]\ndiffuse failed. returning empty list.\nYour samples have been saved to:\n./outputs\nEnjoy.\ntotal 241024\n-rw-r--r-- 1 root root 639167 Feb 2 20:31 00000.png\n-rw-r--r-- 1 root root 641885 Feb 2 20:31 00001.png\n-rw-r--r-- 1 root root 642730 Feb 2 20:31 00002.png\n-rw-r--r-- 1 root root 646533 Feb 2 20:31 00003.png\n-rw-r--r-- 1 root root 653272 Feb 2 20:31 00004.png\n-rw-r--r-- 1 root root 651014 Feb 2 20:31 00005.png\n-rw-r--r-- 1 root root 648349 Feb 2 20:31 00006.png\n-rw-r--r-- 1 root root 648112 Feb 2 20:31 00007.png\n-rw-r--r-- 1 root root 648888 Feb 2 20:31 00008.png\n-rw-r--r-- 1 root root 651812 Feb 2 20:31 00009.png\n-rw-r--r-- 1 root root 648385 Feb 2 20:31 00010.png\n-rw-r--r-- 1 root root 648649 Feb 2 20:31 00011.png\n-rw-r--r-- 1 root root 648155 Feb 2 20:31 00012.png\n-rw-r--r-- 1 root root 650334 Feb 2 20:31 00013.png\n-rw-r--r-- 1 root root 648019 Feb 2 20:31 00014.png\n-rw-r--r-- 1 root root 649154 Feb 2 20:31 00015.png\n-rw-r--r-- 1 root root 647551 Feb 2 20:31 00016.png\n-rw-r--r-- 1 root root 647432 Feb 2 20:31 00017.png\n-rw-r--r-- 1 root root 646679 Feb 2 20:31 00018.png\n-rw-r--r-- 1 root root 651405 Feb 2 20:31 00019.png\n-rw-r--r-- 1 root root 648952 Feb 2 20:31 00020.png\n-rw-r--r-- 1 root root 649400 Feb 2 20:31 00021.png\n-rw-r--r-- 1 root root 647296 Feb 2 20:31 00022.png\n-rw-r--r-- 1 root root 645053 Feb 2 20:31 00023.png\n-rw-r--r-- 1 root root 649228 Feb 2 20:31 00024.png\n-rw-r--r-- 1 root root 648605 Feb 2 20:31 00025.png\n-rw-r--r-- 1 root root 646175 Feb 2 20:31 00026.png\n-rw-r--r-- 1 root root 647667 Feb 2 20:31 00027.png\n-rw-r--r-- 1 root root 641576 Feb 2 20:31 00028.png\n-rw-r--r-- 1 root root 643805 Feb 2 20:31 00029.png\n-rw-r--r-- 1 root root 645224 Feb 2 20:31 00030.png\n-rw-r--r-- 1 root root 654975 Feb 2 20:31 00031.png\n-rw-r--r-- 1 root root 659854 Feb 2 20:31 00032.png\n-rw-r--r-- 1 root root 660218 Feb 2 20:31 00033.png\n-rw-r--r-- 1 root root 662156 Feb 2 20:31 00034.png\n-rw-r--r-- 1 root root 659127 Feb 2 20:31 00035.png\n-rw-r--r-- 1 root root 657428 Feb 2 20:31 00036.png\n-rw-r--r-- 1 root root 661042 Feb 2 20:31 00037.png\n-rw-r--r-- 1 root root 644236 Feb 2 20:31 00038.png\n-rw-r--r-- 1 root root 641917 Feb 2 20:31 00039.png\n-rw-r--r-- 1 root root 646954 Feb 2 20:32 00040.png\n-rw-r--r-- 1 root root 650613 Feb 2 20:32 00041.png\n-rw-r--r-- 1 root root 650080 Feb 2 20:32 00042.png\n-rw-r--r-- 1 root root 647973 Feb 2 20:32 00043.png\n-rw-r--r-- 1 root root 639788 Feb 2 20:32 00044.png\n-rw-r--r-- 1 root root 647626 Feb 2 20:32 00045.png\n-rw-r--r-- 1 root root 651544 Feb 2 20:32 00046.png\n-rw-r--r-- 1 root root 649826 Feb 2 20:32 00047.png\n-rw-r--r-- 1 root root 650314 Feb 2 20:32 00048.png\n-rw-r--r-- 1 root root 650944 Feb 2 20:32 00049.png\n-rw-r--r-- 1 root root 647880 Feb 2 20:32 00050.png\n-rw-r--r-- 1 root root 638860 Feb 2 20:32 00051.png\n-rw-r--r-- 1 root root 650656 Feb 2 20:32 00052.png\n-rw-r--r-- 1 root root 648083 Feb 2 20:32 00053.png\n-rw-r--r-- 1 root root 647151 Feb 2 20:32 00054.png\n-rw-r--r-- 1 root root 649103 Feb 2 20:32 00055.png\n-rw-r--r-- 1 root root 647051 Feb 2 20:32 00056.png\n-rw-r--r-- 1 root root 645256 Feb 2 20:32 00057.png\n-rw-r--r-- 1 root root 646597 Feb 2 20:32 00058.png\n-rw-r--r-- 1 root root 647096 Feb 2 20:32 00059.png\n-rw-r--r-- 1 root root 648074 Feb 2 20:32 00060.png\n-rw-r--r-- 1 root root 649924 Feb 2 20:32 00061.png\n-rw-r--r-- 1 root root 648924 Feb 2 20:32 00062.png\n-rw-r--r-- 1 root root 649700 Feb 2 20:32 00063.png\n-rw-r--r-- 1 root root 646612 Feb 2 20:32 00064.png\n-rw-r--r-- 1 root root 649143 Feb 2 20:32 00065.png\n-rw-r--r-- 1 root root 648701 Feb 2 20:32 00066.png\n-rw-r--r-- 1 root root 644874 Feb 2 20:32 00067.png\n-rw-r--r-- 1 root root 648707 Feb 2 20:32 00068.png\n-rw-r--r-- 1 root root 643026 Feb 2 20:32 00069.png\n-rw-r--r-- 1 root root 642595 Feb 2 20:32 00070.png\n-rw-r--r-- 1 root root 649148 Feb 2 20:32 00071.png\n-rw-r--r-- 1 root root 648783 Feb 2 20:32 00072.png\n-rw-r--r-- 1 root root 649222 Feb 2 20:32 00073.png\n-rw-r--r-- 1 root root 645513 Feb 2 20:32 00074.png\n-rw-r--r-- 1 root root 640803 Feb 2 20:32 00075.png\n-rw-r--r-- 1 root root 640687 Feb 2 20:32 00076.png\n-rw-r--r-- 1 root root 639676 Feb 2 20:32 00077.png\n-rw-r--r-- 1 root root 641639 Feb 2 20:32 00078.png\n-rw-r--r-- 1 root root 643587 Feb 2 20:32 00079.png\n-rw-r--r-- 1 root root 645642 Feb 2 20:32 00080.png\n-rw-r--r-- 1 root root 654226 Feb 2 20:32 00081.png\n-rw-r--r-- 1 root root 655995 Feb 2 20:32 00082.png\n-rw-r--r-- 1 root root 661225 Feb 2 20:32 00083.png\n-rw-r--r-- 1 root root 658393 Feb 2 20:32 00084.png\n-rw-r--r-- 1 root root 658579 Feb 2 20:32 00085.png\n-rw-r--r-- 1 root root 640597 Feb 2 20:32 00086.png\n-rw-r--r-- 1 root root 640370 Feb 2 20:32 00087.png\n-rw-r--r-- 1 root root 646756 Feb 2 20:32 00088.png\n-rw-r--r-- 1 root root 651206 Feb 2 20:32 00089.png\n-rw-r--r-- 1 root root 648874 Feb 2 20:32 00090.png\n-rw-r--r-- 1 root root 640078 Feb 2 20:32 00091.png\n-rw-r--r-- 1 root root 639428 Feb 2 20:32 00092.png\n-rw-r--r-- 1 root root 647015 Feb 2 20:32 00093.png\n-rw-r--r-- 1 root root 650640 Feb 2 20:32 00094.png\n-rw-r--r-- 1 root root 651028 Feb 2 20:32 00095.png\n-rw-r--r-- 1 root root 650584 Feb 2 20:32 00096.png\n-rw-r--r-- 1 root root 643725 Feb 2 20:32 00097.png\n-rw-r--r-- 1 root root 651308 Feb 2 20:32 00098.png\n-rw-r--r-- 1 root root 659000 Feb 2 20:32 00099.png\n-rw-r--r-- 1 root root 654212 Feb 2 20:32 00100.png\n-rw-r--r-- 1 root root 675223 Feb 2 20:32 00101.png\n-rw-r--r-- 1 root root 681184 Feb 2 20:32 00102.png\n-rw-r--r-- 1 root root 670155 Feb 2 20:32 00103.png\n-rw-r--r-- 1 root root 663098 Feb 2 20:32 00104.png\n-rw-r--r-- 1 root root 662783 Feb 2 20:32 00105.png\n-rw-r--r-- 1 root root 643855 Feb 2 20:32 00106.png\n-rw-r--r-- 1 root root 647895 Feb 2 20:32 00107.png\n-rw-r--r-- 1 root root 646160 Feb 2 20:32 00108.png\n-rw-r--r-- 1 root root 648188 Feb 2 20:32 00109.png\n-rw-r--r-- 1 root root 645940 Feb 2 20:32 00110.png\n-rw-r--r-- 1 root root 640335 Feb 2 20:32 00111.png\n-rw-r--r-- 1 root root 644156 Feb 2 20:32 00112.png\n-rw-r--r-- 1 root root 640487 Feb 2 20:32 00113.png\n-rw-r--r-- 1 root root 646710 Feb 2 20:32 00114.png\n-rw-r--r-- 1 root root 639969 Feb 2 20:32 00115.png\n-rw-r--r-- 1 root root 631271 Feb 2 20:32 00116.png\n-rw-r--r-- 1 root root 620819 Feb 2 20:32 00117.png\n-rw-r--r-- 1 root root 614261 Feb 2 20:32 00118.png\n-rw-r--r-- 1 root root 611489 Feb 2 20:32 00119.png\n-rw-r--r-- 1 root root 615540 Feb 2 20:32 00120.png\n-rw-r--r-- 1 root root 612212 Feb 2 20:32 00121.png\n-rw-r--r-- 1 root root 612634 Feb 2 20:32 00122.png\n-rw-r--r-- 1 root root 612219 Feb 2 20:32 00123.png\n-rw-r--r-- 1 root root 612613 Feb 2 20:32 00124.png\n-rw-r--r-- 1 root root 612839 Feb 2 20:32 00125.png\n-rw-r--r-- 1 root root 614184 Feb 2 20:32 00126.png\n-rw-r--r-- 1 root root 614274 Feb 2 20:32 00127.png\n-rw-r--r-- 1 root root 612756 Feb 2 20:32 00128.png\n-rw-r--r-- 1 root root 609624 Feb 2 20:32 00129.png\n-rw-r--r-- 1 root root 608464 Feb 2 20:32 00130.png\n-rw-r--r-- 1 root root 610217 Feb 2 20:32 00131.png\n-rw-r--r-- 1 root root 615515 Feb 2 20:32 00132.png\n-rw-r--r-- 1 root root 619639 Feb 2 20:32 00133.png\n-rw-r--r-- 1 root root 617508 Feb 2 20:32 00134.png\n-rw-r--r-- 1 root root 614544 Feb 2 20:32 00135.png\n-rw-r--r-- 1 root root 612886 Feb 2 20:32 00136.png\n-rw-r--r-- 1 root root 612061 Feb 2 20:32 00137.png\n-rw-r--r-- 1 root root 612686 Feb 2 20:32 00138.png\n-rw-r--r-- 1 root root 613062 Feb 2 20:32 00139.png\n-rw-r--r-- 1 root root 612043 Feb 2 20:33 00140.png\n-rw-r--r-- 1 root root 613261 Feb 2 20:33 00141.png\n-rw-r--r-- 1 root root 611699 Feb 2 20:33 00142.png\n-rw-r--r-- 1 root root 610372 Feb 2 20:33 00143.png\n-rw-r--r-- 1 root root 610400 Feb 2 20:33 00144.png\n-rw-r--r-- 1 root root 612612 Feb 2 20:33 00145.png\n-rw-r--r-- 1 root root 612852 Feb 2 20:33 00146.png\n-rw-r--r-- 1 root root 612792 Feb 2 20:33 00147.png\n-rw-r--r-- 1 root root 613622 Feb 2 20:33 00148.png\n-rw-r--r-- 1 root root 615345 Feb 2 20:33 00149.png\n-rw-r--r-- 1 root root 612091 Feb 2 20:33 00150.png\n-rw-r--r-- 1 root root 611337 Feb 2 20:33 00151.png\n-rw-r--r-- 1 root root 608592 Feb 2 20:33 00152.png\n-rw-r--r-- 1 root root 610719 Feb 2 20:33 00153.png\n-rw-r--r-- 1 root root 606896 Feb 2 20:33 00154.png\n-rw-r--r-- 1 root root 613208 Feb 2 20:33 00155.png\n-rw-r--r-- 1 root root 614346 Feb 2 20:33 00156.png\n-rw-r--r-- 1 root root 614170 Feb 2 20:33 00157.png\n-rw-r--r-- 1 root root 614096 Feb 2 20:33 00158.png\n-rw-r--r-- 1 root root 613237 Feb 2 20:33 00159.png\n-rw-r--r-- 1 root root 613537 Feb 2 20:33 00160.png\n-rw-r--r-- 1 root root 614587 Feb 2 20:33 00161.png\n-rw-r--r-- 1 root root 613937 Feb 2 20:33 00162.png\n-rw-r--r-- 1 root root 613467 Feb 2 20:33 00163.png\n-rw-r--r-- 1 root root 612875 Feb 2 20:33 00164.png\n-rw-r--r-- 1 root root 613257 Feb 2 20:33 00165.png\n-rw-r--r-- 1 root root 614260 Feb 2 20:33 00166.png\n-rw-r--r-- 1 root root 613813 Feb 2 20:33 00167.png\n-rw-r--r-- 1 root root 613781 Feb 2 20:33 00168.png\n-rw-r--r-- 1 root root 613271 Feb 2 20:33 00169.png\n-rw-r--r-- 1 root root 613998 Feb 2 20:33 00170.png\n-rw-r--r-- 1 root root 615013 Feb 2 20:33 00171.png\n-rw-r--r-- 1 root root 614107 Feb 2 20:33 00172.png\n-rw-r--r-- 1 root root 614986 Feb 2 20:33 00173.png\n-rw-r--r-- 1 root root 614970 Feb 2 20:33 00174.png\n-rw-r--r-- 1 root root 613495 Feb 2 20:33 00175.png\n-rw-r--r-- 1 root root 613432 Feb 2 20:33 00176.png\n-rw-r--r-- 1 root root 614059 Feb 2 20:33 00177.png\n-rw-r--r-- 1 root root 615174 Feb 2 20:33 00178.png\n-rw-r--r-- 1 root root 614411 Feb 2 20:33 00179.png\n-rw-r--r-- 1 root root 613236 Feb 2 20:33 00180.png\n-rw-r--r-- 1 root root 615473 Feb 2 20:33 00181.png\n-rw-r--r-- 1 root root 613863 Feb 2 20:33 00182.png\n-rw-r--r-- 1 root root 613733 Feb 2 20:33 00183.png\n-rw-r--r-- 1 root root 613603 Feb 2 20:33 00184.png\n-rw-r--r-- 1 root root 612806 Feb 2 20:33 00185.png\n-rw-r--r-- 1 root root 613993 Feb 2 20:33 00186.png\n-rw-r--r-- 1 root root 613762 Feb 2 20:33 00187.png\n-rw-r--r-- 1 root root 613797 Feb 2 20:33 00188.png\n-rw-r--r-- 1 root root 613614 Feb 2 20:33 00189.png\n-rw-r--r-- 1 root root 613724 Feb 2 20:33 00190.png\n-rw-r--r-- 1 root root 611039 Feb 2 20:33 00191.png\n-rw-r--r-- 1 root root 613563 Feb 2 20:33 00192.png\n-rw-r--r-- 1 root root 620664 Feb 2 20:33 00193.png\n-rw-r--r-- 1 root root 653823 Feb 2 20:33 00194.png\n-rw-r--r-- 1 root root 661086 Feb 2 20:33 00195.png\n-rw-r--r-- 1 root root 663369 Feb 2 20:33 00196.png\n-rw-r--r-- 1 root root 671696 Feb 2 20:33 00197.png\n-rw-r--r-- 1 root root 674575 Feb 2 20:33 00198.png\n-rw-r--r-- 1 root root 672037 Feb 2 20:33 00199.png\n-rw-r--r-- 1 root root 668862 Feb 2 20:33 00200.png\n-rw-r--r-- 1 root root 667469 Feb 2 20:33 00201.png\n-rw-r--r-- 1 root root 669203 Feb 2 20:33 00202.png\n-rw-r--r-- 1 root root 672008 Feb 2 20:33 00203.png\n-rw-r--r-- 1 root root 684236 Feb 2 20:33 00204.png\n-rw-r--r-- 1 root root 682518 Feb 2 20:33 00205.png\n-rw-r--r-- 1 root root 682406 Feb 2 20:33 00206.png\n-rw-r--r-- 1 root root 678760 Feb 2 20:33 00207.png\n-rw-r--r-- 1 root root 678793 Feb 2 20:33 00208.png\n-rw-r--r-- 1 root root 683350 Feb 2 20:33 00209.png\n-rw-r--r-- 1 root root 689985 Feb 2 20:33 00210.png\n-rw-r--r-- 1 root root 692513 Feb 2 20:33 00211.png\n-rw-r--r-- 1 root root 691217 Feb 2 20:33 00212.png\n-rw-r--r-- 1 root root 691331 Feb 2 20:33 00213.png\n-rw-r--r-- 1 root root 690714 Feb 2 20:33 00214.png\n-rw-r--r-- 1 root root 685962 Feb 2 20:33 00215.png\n-rw-r--r-- 1 root root 680953 Feb 2 20:33 00216.png\n-rw-r--r-- 1 root root 666234 Feb 2 20:33 00217.png\n-rw-r--r-- 1 root root 665217 Feb 2 20:33 00218.png\n-rw-r--r-- 1 root root 662154 Feb 2 20:33 00219.png\n-rw-r--r-- 1 root root 663971 Feb 2 20:33 00220.png\n-rw-r--r-- 1 root root 665464 Feb 2 20:33 00221.png\n-rw-r--r-- 1 root root 667735 Feb 2 20:33 00222.png\n-rw-r--r-- 1 root root 667361 Feb 2 20:33 00223.png\n-rw-r--r-- 1 root root 667943 Feb 2 20:33 00224.png\n-rw-r--r-- 1 root root 665434 Feb 2 20:33 00225.png\n-rw-r--r-- 1 root root 667957 Feb 2 20:33 00226.png\n-rw-r--r-- 1 root root 664187 Feb 2 20:33 00227.png\n-rw-r--r-- 1 root root 669834 Feb 2 20:33 00228.png\n-rw-r--r-- 1 root root 668042 Feb 2 20:33 00229.png\n-rw-r--r-- 1 root root 665745 Feb 2 20:33 00230.png\n-rw-r--r-- 1 root root 666966 Feb 2 20:33 00231.png\n-rw-r--r-- 1 root root 670204 Feb 2 20:33 00232.png\n-rw-r--r-- 1 root root 669240 Feb 2 20:33 00233.png\n-rw-r--r-- 1 root root 671930 Feb 2 20:33 00234.png\n-rw-r--r-- 1 root root 670009 Feb 2 20:33 00235.png\n-rw-r--r-- 1 root root 667026 Feb 2 20:33 00236.png\n-rw-r--r-- 1 root root 669460 Feb 2 20:33 00237.png\n-rw-r--r-- 1 root root 661927 Feb 2 20:33 00238.png\n-rw-r--r-- 1 root root 665204 Feb 2 20:33 00239.png\n-rw-r--r-- 1 root root 663219 Feb 2 20:34 00240.png\n-rw-r--r-- 1 root root 667762 Feb 2 20:34 00241.png\n-rw-r--r-- 1 root root 665350 Feb 2 20:34 00242.png\n-rw-r--r-- 1 root root 665090 Feb 2 20:34 00243.png\n-rw-r--r-- 1 root root 664946 Feb 2 20:34 00244.png\n-rw-r--r-- 1 root root 661963 Feb 2 20:34 00245.png\n-rw-r--r-- 1 root root 667487 Feb 2 20:34 00246.png\n-rw-r--r-- 1 root root 663027 Feb 2 20:34 00247.png\n-rw-r--r-- 1 root root 663755 Feb 2 20:34 00248.png\n-rw-r--r-- 1 root root 662729 Feb 2 20:34 00249.png\n-rw-r--r-- 1 root root 666068 Feb 2 20:34 00250.png\n-rw-r--r-- 1 root root 662073 Feb 2 20:34 00251.png\n-rw-r--r-- 1 root root 660872 Feb 2 20:34 00252.png\n-rw-r--r-- 1 root root 663464 Feb 2 20:34 00253.png\n-rw-r--r-- 1 root root 661568 Feb 2 20:34 00254.png\n-rw-r--r-- 1 root root 660852 Feb 2 20:34 00255.png\n-rw-r--r-- 1 root root 659807 Feb 2 20:34 00256.png\n-rw-r--r-- 1 root root 664011 Feb 2 20:34 00257.png\n-rw-r--r-- 1 root root 665511 Feb 2 20:34 00258.png\n-rw-r--r-- 1 root root 665794 Feb 2 20:34 00259.png\n-rw-r--r-- 1 root root 665573 Feb 2 20:34 00260.png\n-rw-r--r-- 1 root root 660227 Feb 2 20:34 00261.png\n-rw-r--r-- 1 root root 663847 Feb 2 20:34 00262.png\n-rw-r--r-- 1 root root 660573 Feb 2 20:34 00263.png\n-rw-r--r-- 1 root root 663378 Feb 2 20:34 00264.png\n-rw-r--r-- 1 root root 663316 Feb 2 20:34 00265.png\n-rw-r--r-- 1 root root 660552 Feb 2 20:34 00266.png\n-rw-r--r-- 1 root root 661309 Feb 2 20:34 00267.png\n-rw-r--r-- 1 root root 658881 Feb 2 20:34 00268.png\n-rw-r--r-- 1 root root 657695 Feb 2 20:34 00269.png\n-rw-r--r-- 1 root root 655590 Feb 2 20:34 00270.png\n-rw-r--r-- 1 root root 659000 Feb 2 20:34 00271.png\n-rw-r--r-- 1 root root 656253 Feb 2 20:34 00272.png\n-rw-r--r-- 1 root root 660211 Feb 2 20:34 00273.png\n-rw-r--r-- 1 root root 661098 Feb 2 20:34 00274.png\n-rw-r--r-- 1 root root 662465 Feb 2 20:34 00275.png\n-rw-r--r-- 1 root root 661132 Feb 2 20:34 00276.png\n-rw-r--r-- 1 root root 663294 Feb 2 20:34 00277.png\n-rw-r--r-- 1 root root 662099 Feb 2 20:34 00278.png\n-rw-r--r-- 1 root root 663242 Feb 2 20:34 00279.png\n-rw-r--r-- 1 root root 662153 Feb 2 20:34 00280.png\n-rw-r--r-- 1 root root 657825 Feb 2 20:34 00281.png\n-rw-r--r-- 1 root root 660180 Feb 2 20:34 00282.png\n-rw-r--r-- 1 root root 658733 Feb 2 20:34 00283.png\n-rw-r--r-- 1 root root 656675 Feb 2 20:34 00284.png\n-rw-r--r-- 1 root root 659790 Feb 2 20:34 00285.png\n-rw-r--r-- 1 root root 660048 Feb 2 20:34 00286.png\n-rw-r--r-- 1 root root 666979 Feb 2 20:34 00287.png\n-rw-r--r-- 1 root root 662433 Feb 2 20:34 00288.png\n-rw-r--r-- 1 root root 666398 Feb 2 20:34 00289.png\n-rw-r--r-- 1 root root 653380 Feb 2 20:34 00290.png\n-rw-r--r-- 1 root root 655505 Feb 2 20:34 00291.png\n-rw-r--r-- 1 root root 655798 Feb 2 20:34 00292.png\n-rw-r--r-- 1 root root 656048 Feb 2 20:34 00293.png\n-rw-r--r-- 1 root root 665758 Feb 2 20:34 00294.png\n-rw-r--r-- 1 root root 670335 Feb 2 20:34 00295.png\n-rw-r--r-- 1 root root 672131 Feb 2 20:34 00296.png\n-rw-r--r-- 1 root root 671598 Feb 2 20:34 00297.png\n-rw-r--r-- 1 root root 672721 Feb 2 20:34 00298.png\n-rw-r--r-- 1 root root 675457 Feb 2 20:34 00299.png\n-rw-r--r-- 1 root root 676792 Feb 2 20:34 00300.png\n-rw-r--r-- 1 root root 675047 Feb 2 20:34 00301.png\n-rw-r--r-- 1 root root 680315 Feb 2 20:34 00302.png\n-rw-r--r-- 1 root root 678821 Feb 2 20:34 00303.png\n-rw-r--r-- 1 root root 669437 Feb 2 20:34 00304.png\n-rw-r--r-- 1 root root 674088 Feb 2 20:34 00305.png\n-rw-r--r-- 1 root root 663070 Feb 2 20:34 00306.png\n-rw-r--r-- 1 root root 675274 Feb 2 20:34 00307.png\n-rw-r--r-- 1 root root 664834 Feb 2 20:34 00308.png\n-rw-r--r-- 1 root root 674997 Feb 2 20:34 00309.png\n-rw-r--r-- 1 root root 666435 Feb 2 20:34 00310.png\n-rw-r--r-- 1 root root 670887 Feb 2 20:34 00311.png\n-rw-r--r-- 1 root root 661987 Feb 2 20:34 00312.png\n-rw-r--r-- 1 root root 649753 Feb 2 20:34 00313.png\n-rw-r--r-- 1 root root 634941 Feb 2 20:34 00314.png\n-rw-r--r-- 1 root root 644085 Feb 2 20:34 00315.png\n-rw-r--r-- 1 root root 643278 Feb 2 20:34 00316.png\n-rw-r--r-- 1 root root 644552 Feb 2 20:34 00317.png\n-rw-r--r-- 1 root root 636453 Feb 2 20:34 00318.png\n-rw-r--r-- 1 root root 652726 Feb 2 20:34 00319.png\n-rw-r--r-- 1 root root 647974 Feb 2 20:34 00320.png\n-rw-r--r-- 1 root root 647812 Feb 2 20:34 00321.png\n-rw-r--r-- 1 root root 648375 Feb 2 20:34 00322.png\n-rw-r--r-- 1 root root 652728 Feb 2 20:34 00323.png\n-rw-r--r-- 1 root root 654976 Feb 2 20:34 00324.png\n-rw-r--r-- 1 root root 643817 Feb 2 20:34 00325.png\n-rw-r--r-- 1 root root 650388 Feb 2 20:34 00326.png\n-rw-r--r-- 1 root root 651330 Feb 2 20:34 00327.png\n-rw-r--r-- 1 root root 650731 Feb 2 20:34 00328.png\n-rw-r--r-- 1 root root 650633 Feb 2 20:34 00329.png\n-rw-r--r-- 1 root root 650859 Feb 2 20:34 00330.png\n-rw-r--r-- 1 root root 649777 Feb 2 20:34 00331.png\n-rw-r--r-- 1 root root 649705 Feb 2 20:34 00332.png\n-rw-r--r-- 1 root root 649751 Feb 2 20:34 00333.png\n-rw-r--r-- 1 root root 651849 Feb 2 20:34 00334.png\n-rw-r--r-- 1 root root 649701 Feb 2 20:34 00335.png\n-rw-r--r-- 1 root root 647628 Feb 2 20:34 00336.png\n-rw-r--r-- 1 root root 654492 Feb 2 20:34 00337.png\n-rw-r--r-- 1 root root 645086 Feb 2 20:34 00338.png\n-rw-r--r-- 1 root root 644994 Feb 2 20:34 00339.png\n-rw-r--r-- 1 root root 646362 Feb 2 20:35 00340.png\n-rw-r--r-- 1 root root 647080 Feb 2 20:35 00341.png\n-rw-r--r-- 1 root root 650897 Feb 2 20:35 00342.png\n-rw-r--r-- 1 root root 651128 Feb 2 20:35 00343.png\n-rw-r--r-- 1 root root 649348 Feb 2 20:35 00344.png\n-rw-r--r-- 1 root root 649993 Feb 2 20:35 00345.png\n-rw-r--r-- 1 root root 648416 Feb 2 20:35 00346.png\n-rw-r--r-- 1 root root 649691 Feb 2 20:35 00347.png\n-rw-r--r-- 1 root root 649342 Feb 2 20:35 00348.png\n-rw-r--r-- 1 root root 644450 Feb 2 20:35 00349.png\n-rw-r--r-- 1 root root 649143 Feb 2 20:35 00350.png\n-rw-r--r-- 1 root root 656673 Feb 2 20:35 00351.png\n-rw-r--r-- 1 root root 656748 Feb 2 20:35 00352.png\n-rw-r--r-- 1 root root 642138 Feb 2 20:35 00353.png\n-rw-r--r-- 1 root root 642966 Feb 2 20:35 00354.png\n-rw-r--r-- 1 root root 648675 Feb 2 20:35 00355.png\n-rw-r--r-- 1 root root 645882 Feb 2 20:35 00356.png\n-rw-r--r-- 1 root root 640150 Feb 2 20:35 00357.png\n-rw-r--r-- 1 root root 648361 Feb 2 20:35 00358.png\n-rw-r--r-- 1 root root 651120 Feb 2 20:35 00359.png\n-rw-r--r-- 1 root root 643583 Feb 2 20:35 00360.png\n-rw-r--r-- 1 root root 648842 Feb 2 20:35 00361.png\n-rw-r--r-- 1 root root 658853 Feb 2 20:35 00362.png\n-rw-r--r-- 1 root root 658380 Feb 2 20:35 00363.png\n-rw-r--r-- 1 root root 657958 Feb 2 20:35 00364.png\n-rw-r--r-- 1 root root 659760 Feb 2 20:35 00365.png\n-rw-r--r-- 1 root root 657500 Feb 2 20:35 00366.png\n-rw-r--r-- 1 root root 649951 Feb 2 20:35 00367.png\n-rw-r--r-- 1 root root 641276 Feb 2 20:35 00368.png\n-rw-r--r-- 1 root root 642538 Feb 2 20:35 00369.png\n-rw-r--r-- 1 root root 644378 Feb 2 20:35 00370.png\n-rw-r--r-- 1 root root 644586 Feb 2 20:35 00371.png\n-rw-r--r-- 1 root root 644430 Feb 2 20:35 00372.png\n-rw-r--r-- 1 root root 661114 Feb 2 20:35 00373.png\n-rw-r--r-- 1 root root 658448 Feb 2 20:35 00374.png\n-rw-r--r-- 1 root root 659953 Feb 2 20:35 00375.png\n-rw-r--r-- 1 root root 658453 Feb 2 20:35 00376.png\n-rw-r--r-- 1 root root 654382 Feb 2 20:35 00377.png\n-rw-r--r-- 1 root root 649018 Feb 2 20:35 00378.png\n-rw-r--r-- 1 root root 645004 Feb 2 20:35 00379.png\nThu Feb 2 20:35:12 2023\n+-----------------------------------------------------------------------------+\n| NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 |\n|-------------------------------+----------------------+----------------------+\n| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n| | | MIG M. |\n|===============================+======================+======================|\n| 0 NVIDIA A100-SXM... Off | 00000000:00:04.0 Off | 0 |\n| N/A 52C P0 159W / 400W | 37478MiB / 40960MiB | 2% Default |\n| | | Disabled |\n+-------------------------------+----------------------+----------------------+\n+-----------------------------------------------------------------------------+\n| Processes: |\n| GPU GI CI PID Type Process name GPU Memory |\n| ID ID Usage |\n|=============================================================================|\n| 0 N/A N/A 104534 C 37475MiB |\n+-----------------------------------------------------------------------------+\ntotal time 220.66894030570984\nffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\nbuilt with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\nconfiguration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\nlibavutil 56. 70.100 / 56. 70.100\nlibavcodec 58.134.100 / 58.134.100\nlibavformat 58. 76.100 / 58. 76.100\nlibavdevice 58. 13.100 / 58. 13.100\nlibavfilter 7.110.100 / 7.110.100\nlibswscale 5. 9.100 / 5. 9.100\nlibswresample 3. 9.100 / 3. 9.100\nlibpostproc 55. 9.100 / 55. 9.100\n[image2 @ 0x55faf0656680] Pattern type 'glob_sequence' is deprecated: use pattern_type 'glob' instead\nInput #0, image2, from './outputs/%*.png':\nDuration: 00:00:15.20, start: 0.000000, bitrate: N/A\nStream #0:0: Video: png, rgb24(pc), 512x512, 25 fps, 25 tbr, 25 tbn, 25 tbc\n[mp3 @ 0x55faf065d680] Estimating duration from bitrate, this may be inaccurate\nInput #1, mp3, from '/tmp/tmpn1p348f2ganze_boot.mp3':\nDuration: 00:00:24.01, start: 0.000000, bitrate: 320 kb/s\nStream #1:0: Audio: mp3, 44100 Hz, stereo, fltp, 320 kb/s\nStream mapping:\nStream #0:0 -> #0:0 (png (native) -> h264 (libx264))\nStream #1:0 -> #0:1 (mp3 (mp3float) -> aac (native))\nPress [q] to stop, [?] for help\n[image2 @ 0x55faf0656680] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8)\n[libx264 @ 0x55faf0664640] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x55faf0664640] profile High, level 2.2, 4:2:0, 8-bit\n[libx264 @ 0x55faf0664640] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=16 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\nOutput #0, mp4, to '/tmp/z_interpollation.mp4':\nMetadata:\nencoder : Lavf58.76.100\nStream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 512x512, q=2-31, 16 fps, 16384 tbn\nMetadata:\nencoder : Lavc58.134.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\nStream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s\nMetadata:\nencoder : Lavc58.134.100 aac\nframe= 1 fps=0.0 q=0.0 size= 0kB time=00:00:00.00 bitrate=N/A speed= 0x\nframe= 73 fps=0.0 q=24.0 size= 0kB time=00:00:00.00 bitrate=6295.1kbits/s speed=0.000113x\nframe= 92 fps= 86 q=24.0 size= 1280kB time=00:00:01.18 bitrate=8830.0kbits/s speed=1.12x\nframe= 115 fps= 73 q=24.0 size= 3072kB time=00:00:02.62 bitrate=9586.9kbits/s speed=1.68x\nframe= 142 fps= 65 q=24.0 size= 4864kB time=00:00:04.31 bitrate=9226.0kbits/s speed=1.99x\nframe= 162 fps= 60 q=24.0 size= 6144kB time=00:00:05.56 bitrate=9048.4kbits/s speed=2.07x\nframe= 183 fps= 58 q=24.0 size= 7936kB time=00:00:06.87 bitrate=9456.2kbits/s speed=2.16x\nframe= 215 fps= 58 q=24.0 size= 8960kB time=00:00:08.87 bitrate=8270.4kbits/s speed= 2.4x\nframe= 257 fps= 61 q=24.0 size= 10240kB time=00:00:11.50 bitrate=7294.4kbits/s speed=2.74x\nframe= 270 fps= 57 q=24.0 size= 10752kB time=00:00:12.31 bitrate=7153.7kbits/s speed=2.62x\nframe= 294 fps= 56 q=24.0 size= 12800kB time=00:00:13.81 bitrate=7591.5kbits/s speed=2.65x\nframe= 318 fps= 55 q=24.0 size= 14336kB time=00:00:15.31 bitrate=7669.6kbits/s speed=2.63x\nframe= 340 fps= 54 q=24.0 size= 15872kB time=00:00:16.68 bitrate=7791.7kbits/s speed=2.64x\nframe= 360 fps= 53 q=24.0 size= 17152kB time=00:00:17.93 bitrate=7833.3kbits/s speed=2.62x\nframe= 379 fps= 52 q=24.0 size= 18688kB time=00:00:19.12 bitrate=8004.8kbits/s speed= 2.6x\n[mp4 @ 0x55faf06633c0] Starting second pass: moving the moov atom to the beginning of the file\nframe= 380 fps= 43 q=-1.0 Lsize= 23972kB time=00:00:23.73 bitrate=8275.3kbits/s speed=2.68x\nvideo:23572kB audio:385kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.064537%\n[libx264 @ 0x55faf0664640] frame I:10 Avg QP:22.52 size:121007\n[libx264 @ 0x55faf0664640] frame P:102 Avg QP:24.21 size: 81138\n[libx264 @ 0x55faf0664640] frame B:268 Avg QP:25.81 size: 54667\n[libx264 @ 0x55faf0664640] consecutive B-frames: 4.7% 2.1% 4.7% 88.4%\n[libx264 @ 0x55faf0664640] mb I I16..4: 0.0% 24.6% 75.4%\n[libx264 @ 0x55faf0664640] mb P I16..4: 0.4% 15.5% 13.1% P16..4: 30.0% 24.2% 16.0% 0.0% 0.0% skip: 0.7%\n[libx264 @ 0x55faf0664640] mb B I16..4: 0.0% 3.4% 2.8% B16..8: 27.7% 19.5% 11.2% direct:26.2% skip: 9.1% L0:38.6% L1:27.0% BI:34.4%\n[libx264 @ 0x55faf0664640] 8x8 transform intra:48.8% inter:29.0%\n[libx264 @ 0x55faf0664640] direct mvs spatial:95.9% temporal:4.1%\n[libx264 @ 0x55faf0664640] coded y,uvDC,uvAC intra: 100.0% 97.3% 85.9% inter: 84.0% 81.3% 25.9%\n[libx264 @ 0x55faf0664640] i16 v,h,dc,p: 0% 4% 70% 26%\n[libx264 @ 0x55faf0664640] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 8% 36% 8% 7% 9% 7% 8% 9%\n[libx264 @ 0x55faf0664640] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 6% 6% 21% 11% 11% 11% 10% 11% 12%\n[libx264 @ 0x55faf0664640] i8c dc,h,v,p: 43% 19% 17% 21%\n[libx264 @ 0x55faf0664640] Weighted P-Frames: Y:46.1% UV:43.1%\n[libx264 @ 0x55faf0664640] ref P L0: 35.5% 16.2% 10.7% 14.8% 15.3% 7.5% 0.0%\n[libx264 @ 0x55faf0664640] ref B L0: 63.8% 22.5% 10.0% 3.7%\n[libx264 @ 0x55faf0664640] ref B L1: 90.6% 9.4%\n[libx264 @ 0x55faf0664640] kb/s:8130.35\n[aac @ 0x55faf0671c80] Qavg: 681.378\nffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\nbuilt with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\nconfiguration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\nlibavutil 56. 70.100 / 56. 70.100\nlibavcodec 58.134.100 / 58.134.100\nlibavformat 58. 76.100 / 58. 76.100\nlibavdevice 58. 13.100 / 58. 13.100\nlibavfilter 7.110.100 / 7.110.100\nlibswscale 5. 9.100 / 5. 9.100\nlibswresample 3. 9.100 / 3. 9.100\nlibpostproc 55. 9.100 / 55. 9.100\nInput #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/z_interpollation.mp4':\nMetadata:\nmajor_brand : isom\nminor_version : 512\ncompatible_brands: isomiso2avc1mp41\nencoder : Lavf58.76.100\nDuration: 00:00:23.76, start: 0.000000, bitrate: 8266 kb/s\nStream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 512x512, 8130 kb/s, 16 fps, 16 tbr, 16384 tbn, 32 tbc (default)\nMetadata:\nhandler_name : VideoHandler\nvendor_id : [0][0][0][0]\nStream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 132 kb/s (default)\nMetadata:\nhandler_name : SoundHandler\nvendor_id : [0][0][0][0]\nStream mapping:\nStream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))\nStream #0:1 -> #0:1 (aac (native) -> aac (native))\nPress [q] to stop, [?] for help\n[libx264 @ 0x561a7cb2a200] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x561a7cb2a200] profile High, level 3.1, 4:2:0, 8-bit\n[libx264 @ 0x561a7cb2a200] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\nOutput #0, mp4, to '/tmp/z_interpollation_40fps.mp4':\nMetadata:\nmajor_brand : isom\nminor_version : 512\ncompatible_brands: isomiso2avc1mp41\nencoder : Lavf58.76.100\nStream #0:0(und): Video: h264 (avc1 / 0x31637661), yuv420p(progressive), 512x512, q=2-31, 40 fps, 10240 tbn (default)\nMetadata:\nhandler_name : VideoHandler\nvendor_id : [0][0][0][0]\nencoder : Lavc58.134.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\nStream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)\nMetadata:\nhandler_name : SoundHandler\nvendor_id : [0][0][0][0]\nencoder : Lavc58.134.100 aac\nframe= 3 fps=0.0 q=0.0 size= 0kB time=00:00:00.81 bitrate= 0.5kbits/s speed= 11x\nframe= 8 fps=0.0 q=0.0 size= 0kB time=00:00:00.97 bitrate= 0.4kbits/s speed=1.53x\nframe= 16 fps= 14 q=0.0 size= 0kB time=00:00:01.16 bitrate= 0.3kbits/s speed=0.986x\nframe= 23 fps= 13 q=0.0 size= 0kB time=00:00:01.34 bitrate= 0.3kbits/s speed=0.77x\nframe= 31 fps= 14 q=0.0 size= 0kB time=00:00:01.53 bitrate= 0.3kbits/s speed=0.668x\nframe= 38 fps= 13 q=0.0 size= 0kB time=00:00:01.71 bitrate= 0.2kbits/s speed=0.605x\nframe= 46 fps= 14 q=0.0 size= 0kB time=00:00:01.90 bitrate= 0.2kbits/s speed=0.561x\nframe= 53 fps= 13 q=0.0 size= 0kB time=00:00:02.08 bitrate= 0.2kbits/s speed=0.531x\nframe= 61 fps= 14 q=30.0 size= 0kB time=00:00:02.27 bitrate= 0.2kbits/s speed=0.507x\nframe= 68 fps= 13 q=30.0 size= 0kB time=00:00:02.46 bitrate= 0.2kbits/s speed=0.488x\nframe= 76 fps= 14 q=30.0 size= 256kB time=00:00:02.64 bitrate= 792.4kbits/s speed=0.474x\nframe= 83 fps= 14 q=30.0 size= 256kB time=00:00:02.83 bitrate= 740.4kbits/s speed=0.462x\nframe= 91 fps= 14 q=30.0 size= 512kB time=00:00:03.01 bitrate=1389.6kbits/s speed=0.453x\nframe= 98 fps= 14 q=30.0 size= 512kB time=00:00:03.20 bitrate=1309.1kbits/s speed=0.444x\nframe= 106 fps= 14 q=30.0 size= 768kB time=00:00:03.41 bitrate=1843.3kbits/s speed=0.439x\nframe= 113 fps= 14 q=30.0 size= 768kB time=00:00:03.59 bitrate=1748.2kbits/s speed=0.432x\nframe= 121 fps= 14 q=30.0 size= 1024kB time=00:00:03.78 bitrate=2216.5kbits/s speed=0.426x\nframe= 128 fps= 14 q=30.0 size= 1280kB time=00:00:03.97 bitrate=2640.9kbits/s speed=0.421x\nframe= 136 fps= 14 q=30.0 size= 1280kB time=00:00:04.15 bitrate=2522.9kbits/s speed=0.417x\nframe= 143 fps= 14 q=30.0 size= 1536kB time=00:00:04.34 bitrate=2898.0kbits/s speed=0.413x\nframe= 151 fps= 14 q=30.0 size= 1536kB time=00:00:04.52 bitrate=2779.1kbits/s speed=0.409x\nframe= 158 fps= 14 q=30.0 size= 1536kB time=00:00:04.71 bitrate=2669.5kbits/s speed=0.406x\nframe= 166 fps= 14 q=30.0 size= 1792kB time=00:00:04.89 bitrate=2996.4kbits/s speed=0.403x\nframe= 173 fps= 14 q=30.0 size= 2048kB time=00:00:05.08 bitrate=3299.3kbits/s speed= 0.4x\nframe= 181 fps= 14 q=30.0 size= 2048kB time=00:00:05.27 bitrate=3183.0kbits/s speed=0.398x\nframe= 188 fps= 14 q=30.0 size= 2304kB time=00:00:05.45 bitrate=3459.0kbits/s speed=0.394x\nframe= 196 fps= 14 q=30.0 size= 2304kB time=00:00:05.64 bitrate=3345.1kbits/s speed=0.392x\nframe= 203 fps= 14 q=30.0 size= 2560kB time=00:00:05.85 bitrate=3584.1kbits/s speed=0.392x\nframe= 211 fps= 14 q=30.0 size= 2816kB time=00:00:06.03 bitrate=3821.2kbits/s speed=0.391x\nframe= 218 fps= 14 q=30.0 size= 2816kB time=00:00:06.22 bitrate=3707.1kbits/s speed=0.389x\nframe= 226 fps= 14 q=30.0 size= 2816kB time=00:00:06.40 bitrate=3599.6kbits/s speed=0.387x\nframe= 233 fps= 14 q=30.0 size= 3072kB time=00:00:06.59 bitrate=3816.3kbits/s speed=0.386x\nframe= 241 fps= 14 q=30.0 size= 3072kB time=00:00:06.78 bitrate=3711.7kbits/s speed=0.384x\nframe= 248 fps= 14 q=30.0 size= 3328kB time=00:00:06.96 bitrate=3913.8kbits/s speed=0.383x\nframe= 256 fps= 14 q=30.0 size= 3584kB time=00:00:07.15 bitrate=4105.4kbits/s speed=0.381x\nframe= 263 fps= 14 q=30.0 size= 3584kB time=00:00:07.33 bitrate=4001.4kbits/s speed=0.38x\nframe= 271 fps= 14 q=30.0 size= 3584kB time=00:00:07.52 bitrate=3902.6kbits/s speed=0.378x\nframe= 278 fps= 14 q=30.0 size= 3840kB time=00:00:07.70 bitrate=4080.6kbits/s speed=0.377x\nframe= 286 fps= 14 q=30.0 size= 4096kB time=00:00:07.89 bitrate=4250.3kbits/s speed=0.376x\nframe= 293 fps= 14 q=30.0 size= 4096kB time=00:00:08.08 bitrate=4152.5kbits/s speed=0.375x\nframe= 301 fps= 14 q=30.0 size= 4352kB time=00:00:08.26 bitrate=4312.9kbits/s speed=0.375x\nframe= 308 fps= 14 q=30.0 size= 4352kB time=00:00:08.47 bitrate=4206.6kbits/s speed=0.375x\nframe= 316 fps= 14 q=30.0 size= 4608kB time=00:00:08.66 bitrate=4358.5kbits/s speed=0.375x\nframe= 323 fps= 14 q=30.0 size= 4864kB time=00:00:08.84 bitrate=4504.0kbits/s speed=0.375x\nframe= 331 fps= 14 q=30.0 size= 4864kB time=00:00:09.03 bitrate=4411.4kbits/s speed=0.374x\nframe= 338 fps= 14 q=30.0 size= 5120kB time=00:00:09.21 bitrate=4550.0kbits/s speed=0.374x\nframe= 346 fps= 14 q=30.0 size= 5120kB time=00:00:09.40 bitrate=4460.1kbits/s speed=0.374x\nframe= 353 fps= 14 q=30.0 size= 5376kB time=00:00:09.58 bitrate=4592.4kbits/s speed=0.373x\nframe= 361 fps= 14 q=30.0 size= 5376kB time=00:00:09.77 bitrate=4505.2kbits/s speed=0.373x\nframe= 368 fps= 14 q=30.0 size= 5376kB time=00:00:09.96 bitrate=4421.1kbits/s speed=0.372x\nframe= 376 fps= 14 q=30.0 size= 5632kB time=00:00:10.14 bitrate=4546.9kbits/s speed=0.372x\nframe= 383 fps= 14 q=30.0 size= 5632kB time=00:00:10.33 bitrate=4465.1kbits/s speed=0.372x\nframe= 391 fps= 14 q=30.0 size= 5632kB time=00:00:10.51 bitrate=4386.3kbits/s speed=0.371x\nframe= 398 fps= 14 q=30.0 size= 5632kB time=00:00:10.70 bitrate=4310.2kbits/s speed=0.371x\nframe= 406 fps= 14 q=30.0 size= 5888kB time=00:00:10.91 bitrate=4419.8kbits/s speed=0.372x\nframe= 413 fps= 14 q=30.0 size= 5888kB time=00:00:11.09 bitrate=4345.8kbits/s speed=0.372x\nframe= 421 fps= 14 q=30.0 size= 5888kB time=00:00:11.28 bitrate=4274.3kbits/s speed=0.371x\nframe= 428 fps= 14 q=30.0 size= 5888kB time=00:00:11.47 bitrate=4205.1kbits/s speed=0.371x\nframe= 436 fps= 14 q=30.0 size= 6144kB time=00:00:11.65 bitrate=4318.0kbits/s speed=0.371x\nframe= 443 fps= 14 q=30.0 size= 6144kB time=00:00:11.84 bitrate=4250.2kbits/s speed=0.371x\nframe= 451 fps= 14 q=30.0 size= 6400kB time=00:00:12.02 bitrate=4359.0kbits/s speed=0.37x\nframe= 458 fps= 14 q=30.0 size= 6400kB time=00:00:12.21 bitrate=4292.7kbits/s speed=0.37x\nframe= 466 fps= 14 q=30.0 size= 6400kB time=00:00:12.39 bitrate=4228.3kbits/s speed=0.37x\nframe= 473 fps= 14 q=30.0 size= 6400kB time=00:00:12.58 bitrate=4165.9kbits/s speed=0.37x\nframe= 481 fps= 14 q=30.0 size= 6400kB time=00:00:12.77 bitrate=4105.3kbits/s speed=0.37x\nframe= 488 fps= 14 q=30.0 size= 6400kB time=00:00:12.95 bitrate=4046.5kbits/s speed=0.369x\nframe= 496 fps= 14 q=30.0 size= 6656kB time=00:00:13.14 bitrate=4148.9kbits/s speed=0.368x\nframe= 503 fps= 14 q=30.0 size= 6656kB time=00:00:13.35 bitrate=4083.9kbits/s speed=0.368x\nframe= 511 fps= 14 q=30.0 size= 6656kB time=00:00:13.53 bitrate=4027.9kbits/s speed=0.368x\nframe= 518 fps= 14 q=30.0 size= 6656kB time=00:00:13.72 bitrate=3973.4kbits/s speed=0.368x\nframe= 526 fps= 14 q=30.0 size= 6656kB time=00:00:13.90 bitrate=3920.3kbits/s speed=0.367x\nframe= 533 fps= 14 q=27.0 size= 6656kB time=00:00:14.09 bitrate=3868.6kbits/s speed=0.367x\nframe= 541 fps= 14 q=30.0 size= 6912kB time=00:00:14.28 bitrate=3965.2kbits/s speed=0.367x\nframe= 548 fps= 14 q=30.0 size= 6912kB time=00:00:14.46 bitrate=3914.2kbits/s speed=0.366x\nframe= 556 fps= 14 q=30.0 size= 7168kB time=00:00:14.65 bitrate=4007.7kbits/s speed=0.366x\nframe= 563 fps= 14 q=30.0 size= 7424kB time=00:00:14.83 bitrate=4098.9kbits/s speed=0.366x\nframe= 571 fps= 14 q=30.0 size= 7424kB time=00:00:15.02 bitrate=4048.2kbits/s speed=0.365x\nframe= 578 fps= 14 q=30.0 size= 7680kB time=00:00:15.20 bitrate=4136.7kbits/s speed=0.365x\nframe= 586 fps= 14 q=30.0 size= 7936kB time=00:00:15.39 bitrate=4223.0kbits/s speed=0.365x\nframe= 593 fps= 14 q=30.0 size= 7936kB time=00:00:15.58 bitrate=4172.6kbits/s speed=0.364x\nframe= 601 fps= 14 q=30.0 size= 8192kB time=00:00:15.76 bitrate=4256.5kbits/s speed=0.364x\nframe= 608 fps= 14 q=30.0 size= 8192kB time=00:00:15.97 bitrate=4200.8kbits/s speed=0.364x\nframe= 616 fps= 14 q=30.0 size= 8448kB time=00:00:16.16 bitrate=4282.3kbits/s speed=0.364x\nframe= 623 fps= 14 q=30.0 size= 8448kB time=00:00:16.34 bitrate=4233.6kbits/s speed=0.364x\nframe= 631 fps= 14 q=30.0 size= 8704kB time=00:00:16.53 bitrate=4312.9kbits/s speed=0.363x\nframe= 638 fps= 14 q=30.0 size= 8704kB time=00:00:16.71 bitrate=4265.0kbits/s speed=0.363x\nframe= 646 fps= 14 q=30.0 size= 8960kB time=00:00:16.90 bitrate=4342.2kbits/s speed=0.363x\nframe= 653 fps= 14 q=30.0 size= 8960kB time=00:00:17.08 bitrate=4295.0kbits/s speed=0.363x\nframe= 661 fps= 14 q=30.0 size= 9216kB time=00:00:17.27 bitrate=4370.2kbits/s speed=0.363x\nframe= 668 fps= 14 q=30.0 size= 9216kB time=00:00:17.46 bitrate=4323.7kbits/s speed=0.362x\nframe= 676 fps= 14 q=30.0 size= 9472kB time=00:00:17.64 bitrate=4397.0kbits/s speed=0.362x\nframe= 683 fps= 14 q=30.0 size= 9472kB time=00:00:17.83 bitrate=4351.2kbits/s speed=0.362x\nframe= 691 fps= 14 q=30.0 size= 9728kB time=00:00:18.01 bitrate=4422.8kbits/s speed=0.362x\nframe= 698 fps= 14 q=30.0 size= 9728kB time=00:00:18.20 bitrate=4377.6kbits/s speed=0.361x\nframe= 706 fps= 14 q=30.0 size= 9984kB time=00:00:18.41 bitrate=4441.8kbits/s speed=0.362x\nframe= 713 fps= 14 q=30.0 size= 9984kB time=00:00:18.59 bitrate=4397.5kbits/s speed=0.362x\nframe= 721 fps= 14 q=30.0 size= 10240kB time=00:00:18.78 bitrate=4465.6kbits/s speed=0.361x\nframe= 728 fps= 14 q=30.0 size= 10496kB time=00:00:18.97 bitrate=4532.4kbits/s speed=0.361x\nframe= 736 fps= 14 q=30.0 size= 10496kB time=00:00:19.15 bitrate=4488.5kbits/s speed=0.361x\nframe= 743 fps= 14 q=30.0 size= 10496kB time=00:00:19.34 bitrate=4445.4kbits/s speed=0.361x\nframe= 751 fps= 14 q=30.0 size= 10752kB time=00:00:19.52 bitrate=4510.5kbits/s speed=0.361x\nframe= 758 fps= 14 q=30.0 size= 10752kB time=00:00:19.71 bitrate=4468.0kbits/s speed=0.361x\nframe= 766 fps= 14 q=30.0 size= 11008kB time=00:00:19.89 bitrate=4531.7kbits/s speed=0.36x\nframe= 773 fps= 14 q=30.0 size= 11008kB time=00:00:20.08 bitrate=4489.8kbits/s speed=0.36x\nframe= 781 fps= 14 q=30.0 size= 11264kB time=00:00:20.27 bitrate=4552.1kbits/s speed=0.36x\nframe= 788 fps= 14 q=30.0 size= 11520kB time=00:00:20.45 bitrate=4613.2kbits/s speed=0.36x\nframe= 796 fps= 14 q=30.0 size= 11520kB time=00:00:20.64 bitrate=4571.7kbits/s speed=0.36x\nframe= 803 fps= 14 q=30.0 size= 11776kB time=00:00:20.85 bitrate=4626.5kbits/s speed=0.36x\nframe= 811 fps= 14 q=30.0 size= 12032kB time=00:00:21.03 bitrate=4685.3kbits/s speed=0.36x\nframe= 818 fps= 14 q=30.0 size= 12032kB time=00:00:21.22 bitrate=4644.3kbits/s speed=0.36x\nframe= 826 fps= 14 q=30.0 size= 12288kB time=00:00:21.40 bitrate=4702.0kbits/s speed=0.359x\nframe= 833 fps= 14 q=30.0 size= 12544kB time=00:00:21.59 bitrate=4758.6kbits/s speed=0.359x\nframe= 841 fps= 14 q=30.0 size= 12544kB time=00:00:21.78 bitrate=4718.1kbits/s speed=0.359x\nframe= 848 fps= 14 q=30.0 size= 12800kB time=00:00:21.96 bitrate=4773.6kbits/s speed=0.359x\nframe= 856 fps= 14 q=30.0 size= 13056kB time=00:00:22.15 bitrate=4828.3kbits/s speed=0.359x\nframe= 863 fps= 14 q=30.0 size= 13056kB time=00:00:22.33 bitrate=4788.1kbits/s speed=0.359x\nframe= 871 fps= 14 q=30.0 size= 13312kB time=00:00:22.52 bitrate=4841.7kbits/s speed=0.358x\nframe= 878 fps= 14 q=30.0 size= 13312kB time=00:00:22.70 bitrate=4802.1kbits/s speed=0.358x\nframe= 886 fps= 14 q=30.0 size= 13568kB time=00:00:22.89 bitrate=4854.8kbits/s speed=0.358x\nframe= 893 fps= 14 q=30.0 size= 13568kB time=00:00:23.08 bitrate=4815.7kbits/s speed=0.358x\nframe= 901 fps= 14 q=30.0 size= 13824kB time=00:00:23.26 bitrate=4867.4kbits/s speed=0.358x\nframe= 908 fps= 14 q=30.0 size= 13824kB time=00:00:23.47 bitrate=4824.1kbits/s speed=0.358x\nframe= 918 fps= 14 q=30.0 size= 14080kB time=00:00:23.68 bitrate=4870.0kbits/s speed=0.358x\nframe= 926 fps= 14 q=30.0 size= 14336kB time=00:00:23.68 bitrate=4958.6kbits/s speed=0.355x\nframe= 933 fps= 14 q=30.0 size= 14336kB time=00:00:23.68 bitrate=4958.6kbits/s speed=0.352x\nframe= 941 fps= 14 q=30.0 size= 14592kB time=00:00:23.68 bitrate=5047.1kbits/s speed=0.35x\nframe= 946 fps= 14 q=30.0 size= 14592kB time=00:00:23.68 bitrate=5047.1kbits/s speed=0.347x\nframe= 946 fps= 14 q=-1.0 Lsize= 15796kB time=00:00:23.73 bitrate=5452.8kbits/s speed=0.346x\nvideo:15388kB audio:384kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.155245%\n[libx264 @ 0x561a7cb2a200] frame I:4 Avg QP:28.16 size: 70756\n[libx264 @ 0x561a7cb2a200] frame P:474 Avg QP:28.02 size: 24375\n[libx264 @ 0x561a7cb2a200] frame B:468 Avg QP:31.38 size: 8375\n[libx264 @ 0x561a7cb2a200] consecutive B-frames: 29.6% 8.9% 13.3% 48.2%\n[libx264 @ 0x561a7cb2a200] mb I I16..4: 7.3% 64.4% 28.3%\n[libx264 @ 0x561a7cb2a200] mb P I16..4: 0.2% 9.0% 3.4% P16..4: 46.0% 12.1% 11.4% 0.0% 0.0% skip:17.8%\n[libx264 @ 0x561a7cb2a200] mb B I16..4: 0.0% 1.1% 0.8% B16..8: 17.5% 3.9% 2.4% direct: 9.3% skip:64.9% L0:35.1% L1:39.4% BI:25.5%\n[libx264 @ 0x561a7cb2a200] 8x8 transform intra:69.2% inter:44.1%\n[libx264 @ 0x561a7cb2a200] coded y,uvDC,uvAC intra: 99.1% 92.0% 67.3% inter: 36.0% 38.3% 4.5%\n[libx264 @ 0x561a7cb2a200] i16 v,h,dc,p: 7% 8% 59% 27%\n[libx264 @ 0x561a7cb2a200] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 10% 9% 40% 7% 5% 7% 6% 8% 8%\n[libx264 @ 0x561a7cb2a200] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 8% 26% 10% 9% 11% 8% 9% 9%\n[libx264 @ 0x561a7cb2a200] i8c dc,h,v,p: 45% 21% 20% 14%\n[libx264 @ 0x561a7cb2a200] Weighted P-Frames: Y:25.1% UV:22.6%\n[libx264 @ 0x561a7cb2a200] ref P L0: 60.4% 26.0% 6.0% 4.3% 3.3%\n[libx264 @ 0x561a7cb2a200] ref B L0: 83.0% 4.4% 12.6%\n[libx264 @ 0x561a7cb2a200] ref B L1: 99.0% 1.0%\n[libx264 @ 0x561a7cb2a200] kb/s:5329.86\n[aac @ 0x561a7cb56d40] Qavg: 638.797", "metrics": { "predict_time": 299.783791, "total_time": 519.985636 }, "output": [ "https://replicate.delivery/pbxt/qeDC7uZ1nwSECK5VFOIOcFRVJgkSRaX6VD3Yye0v4dk0e50gA/00019.png", "https://replicate.delivery/pbxt/5d4ZOzt7QeVDHySdsEcpdDPB6hpBpOftrDMQT19qOVof950gA/00039.png", "https://replicate.delivery/pbxt/WY0fshYZgy25ayF2aPrqv6i0wUSdL3XMpfbR53gQmmoLf50gA/00059.png", "https://replicate.delivery/pbxt/PJsr3r2QdrYaPVA8gUkh0Q7rs4bB70CT9LcuwMzIxxp1PnGE/00079.png", "https://replicate.delivery/pbxt/pDY6eBxcpASsNKhp2bZ2PmcP7x0KLfE6QNpSk0JzmAeCfzpBB/00099.png", "https://replicate.delivery/pbxt/lnfzjIGoc7wqGqUqMOxRFCkHtd9xIz3d2UrkUqM4ip82fcaQA/00119.png", "https://replicate.delivery/pbxt/AB5q3y0cc8KbGNvjcCges0EFrff6eR8RYbYq14O1qt2jfnTDC/00139.png", "https://replicate.delivery/pbxt/KW9uGnxeTnygai4b2X644L5C2jhWMDufzt4XUSjpuBgEAdaQA/00159.png", "https://replicate.delivery/pbxt/kIU0VN0nIpZKDFXlkngyWSaoqSed79X46QDATIZMAX9HgONIA/00179.png", "https://replicate.delivery/pbxt/O5UZpDiDybojC9D7xkRY78UwQFeSfiQ6sUM5AYnbnsvaAdaQA/00199.png", "https://replicate.delivery/pbxt/J89f7SfewGYrtpL6k1b8Ui6jKKxma4UaXS8g8FraZKAKB60gA/00219.png", "https://replicate.delivery/pbxt/FFd7akCGtX4SDxnB0p1vMVGlHfecb5snL4D0z0UWKeaiB60gA/00239.png", "https://replicate.delivery/pbxt/rI0hOIbXRjJ2DhGFBGkawwGNujE9wozsyp7hPnr9ItAPQnGE/00259.png", "https://replicate.delivery/pbxt/hSOCPZUV1JINGhFhACM2AvP89H5bSVWOwN3vseUBZg3jgONIA/00279.png", "https://replicate.delivery/pbxt/7RxWy4Sob6ZAE1qiYolMwFFPgB2ixG8UB5yJ5oBXQP4UQnGE/00299.png", "https://replicate.delivery/pbxt/1lJTDVSAeuX1PSuDt1CKeze1hnvCwoQgelHrfOuBvvq1LoTDC/00319.png", "https://replicate.delivery/pbxt/4oNR2HBnr6LOHlGRj8Bf5PSfLu9eG98X2kdqjZJNtTxSD60gA/00339.png", "https://replicate.delivery/pbxt/D0r2sScCxy5VJ9x8eAgFT0x45W7fAu5JmyAu6cZTBZp1BdaQA/00359.png", "https://replicate.delivery/pbxt/Yfpw31kf0ziQcEFWEpemHOhA3md8V85juZvJnJfKXHaBI0pBB/00379.png", "https://replicate.delivery/pbxt/e6lkfE9PNvkXqUPMtREWSGze3G9xhH2BGQEVQCusYrZTE60gA/z_interpollation.mp4", "https://replicate.delivery/pbxt/LCtOHrPtjhqIBZVJpXkc0aPn2EMePyDXseFQYWoOLsqODdaQA/z_interpollation_40fps.mp4" ], "started_at": "2023-02-02T20:31:31.917735Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/quzpn5vsizfwvpgxx27o25lpey", "cancel": "https://api.replicate.com/v1/predictions/quzpn5vsizfwvpgxx27o25lpey/cancel" }, "version": "dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280" }
Generated intranslated prompts ['A painting of a moth.by paul klee, intricate detail', 'A painting of a moth.by paul klee, intricate detail', 'A painting of a killer dragonfly.by paul klee, intricate detail', 'Two fishes talking to each other in deep sea.by paul klee, intricate detail', 'A painting of a moth.by paul klee, intricate detail'] /root/.pyenv/versions/3.7.16/lib/python3.7/site-packages/librosa/util/decorators.py:88: UserWarning: PySoundFile failed. Trying audioread instead. return f(*args, **kwargs) using audio file /tmp/tmpn1p348f2ganze_boot.mp3 hop length 1378 audio length 529344 audio sr 22050 length of audio intensities 385 num frames per prompt 96 embedding prompts Global seed set to 13 prompt 0 shape torch.Size([1, 77, 768]) len smoothed_audio_intensities 385 len interpolated_prompts 384 interp prompts 0 shape torch.Size([1, 77, 768]) start_codes 0 shapetorch.Size([1, 4, 64, 64]) data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:01<00:14, 1.03s/it] 13%|█▎ | 2/15 [00:01<00:09, 1.30it/s] 20%|██ | 3/15 [00:02<00:08, 1.44it/s] 27%|██▋ | 4/15 [00:02<00:07, 1.52it/s] 33%|███▎ | 5/15 [00:03<00:06, 1.57it/s] 40%|████ | 6/15 [00:04<00:05, 1.60it/s] 47%|████▋ | 7/15 [00:04<00:04, 1.62it/s] 53%|█████▎ | 8/15 [00:05<00:04, 1.63it/s] 60%|██████ | 9/15 [00:05<00:03, 1.64it/s] 67%|██████▋ | 10/15 [00:06<00:03, 1.64it/s] 73%|███████▎ | 11/15 [00:07<00:02, 1.65it/s] 80%|████████ | 12/15 [00:07<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:08<00:01, 1.65it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:09<00:00, 1.66it/s] 100%|██████████| 15/15 [00:09<00:00, 1.59it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00000.png Saved ./outputs/00001.png Saved ./outputs/00002.png Saved ./outputs/00003.png Saved ./outputs/00004.png Saved ./outputs/00005.png Saved ./outputs/00006.png Saved ./outputs/00007.png Saved ./outputs/00008.png Saved ./outputs/00009.png Saved ./outputs/00010.png Saved ./outputs/00011.png Saved ./outputs/00012.png Saved ./outputs/00013.png Saved ./outputs/00014.png Saved ./outputs/00015.png Saved ./outputs/00016.png Saved ./outputs/00017.png Saved ./outputs/00018.png Saved ./outputs/00019.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.30it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.69it/s] 60%|██████ | 9/15 [00:05<00:03, 1.68it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.67it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00020.png Saved ./outputs/00021.png Saved ./outputs/00022.png Saved ./outputs/00023.png Saved ./outputs/00024.png Saved ./outputs/00025.png Saved ./outputs/00026.png Saved ./outputs/00027.png Saved ./outputs/00028.png Saved ./outputs/00029.png Saved ./outputs/00030.png Saved ./outputs/00031.png Saved ./outputs/00032.png Saved ./outputs/00033.png Saved ./outputs/00034.png Saved ./outputs/00035.png Saved ./outputs/00036.png Saved ./outputs/00037.png Saved ./outputs/00038.png Saved ./outputs/00039.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.30it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.68it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.67it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00040.png Saved ./outputs/00041.png Saved ./outputs/00042.png Saved ./outputs/00043.png Saved ./outputs/00044.png Saved ./outputs/00045.png Saved ./outputs/00046.png Saved ./outputs/00047.png Saved ./outputs/00048.png Saved ./outputs/00049.png Saved ./outputs/00050.png Saved ./outputs/00051.png Saved ./outputs/00052.png Saved ./outputs/00053.png Saved ./outputs/00054.png Saved ./outputs/00055.png Saved ./outputs/00056.png Saved ./outputs/00057.png Saved ./outputs/00058.png Saved ./outputs/00059.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.29it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.67it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00060.png Saved ./outputs/00061.png Saved ./outputs/00062.png Saved ./outputs/00063.png Saved ./outputs/00064.png Saved ./outputs/00065.png Saved ./outputs/00066.png Saved ./outputs/00067.png Saved ./outputs/00068.png Saved ./outputs/00069.png Saved ./outputs/00070.png Saved ./outputs/00071.png Saved ./outputs/00072.png Saved ./outputs/00073.png Saved ./outputs/00074.png Saved ./outputs/00075.png Saved ./outputs/00076.png Saved ./outputs/00077.png Saved ./outputs/00078.png Saved ./outputs/00079.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.29it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00080.png Saved ./outputs/00081.png Saved ./outputs/00082.png Saved ./outputs/00083.png Saved ./outputs/00084.png Saved ./outputs/00085.png Saved ./outputs/00086.png Saved ./outputs/00087.png Saved ./outputs/00088.png Saved ./outputs/00089.png Saved ./outputs/00090.png Saved ./outputs/00091.png Saved ./outputs/00092.png Saved ./outputs/00093.png Saved ./outputs/00094.png Saved ./outputs/00095.png Saved ./outputs/00096.png Saved ./outputs/00097.png Saved ./outputs/00098.png Saved ./outputs/00099.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.30it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.68it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00100.png Saved ./outputs/00101.png Saved ./outputs/00102.png Saved ./outputs/00103.png Saved ./outputs/00104.png Saved ./outputs/00105.png Saved ./outputs/00106.png Saved ./outputs/00107.png Saved ./outputs/00108.png Saved ./outputs/00109.png Saved ./outputs/00110.png Saved ./outputs/00111.png Saved ./outputs/00112.png Saved ./outputs/00113.png Saved ./outputs/00114.png Saved ./outputs/00115.png Saved ./outputs/00116.png Saved ./outputs/00117.png Saved ./outputs/00118.png Saved ./outputs/00119.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.27it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00120.png Saved ./outputs/00121.png Saved ./outputs/00122.png Saved ./outputs/00123.png Saved ./outputs/00124.png Saved ./outputs/00125.png Saved ./outputs/00126.png Saved ./outputs/00127.png Saved ./outputs/00128.png Saved ./outputs/00129.png Saved ./outputs/00130.png Saved ./outputs/00131.png Saved ./outputs/00132.png Saved ./outputs/00133.png Saved ./outputs/00134.png Saved ./outputs/00135.png Saved ./outputs/00136.png Saved ./outputs/00137.png Saved ./outputs/00138.png Saved ./outputs/00139.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.30it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00140.png Saved ./outputs/00141.png Saved ./outputs/00142.png Saved ./outputs/00143.png Saved ./outputs/00144.png Saved ./outputs/00145.png Saved ./outputs/00146.png Saved ./outputs/00147.png Saved ./outputs/00148.png Saved ./outputs/00149.png Saved ./outputs/00150.png Saved ./outputs/00151.png Saved ./outputs/00152.png Saved ./outputs/00153.png Saved ./outputs/00154.png Saved ./outputs/00155.png Saved ./outputs/00156.png Saved ./outputs/00157.png Saved ./outputs/00158.png Saved ./outputs/00159.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.29it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00160.png Saved ./outputs/00161.png Saved ./outputs/00162.png Saved ./outputs/00163.png Saved ./outputs/00164.png Saved ./outputs/00165.png Saved ./outputs/00166.png Saved ./outputs/00167.png Saved ./outputs/00168.png Saved ./outputs/00169.png Saved ./outputs/00170.png Saved ./outputs/00171.png Saved ./outputs/00172.png Saved ./outputs/00173.png Saved ./outputs/00174.png Saved ./outputs/00175.png Saved ./outputs/00176.png Saved ./outputs/00177.png Saved ./outputs/00178.png Saved ./outputs/00179.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.29it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00180.png Saved ./outputs/00181.png Saved ./outputs/00182.png Saved ./outputs/00183.png Saved ./outputs/00184.png Saved ./outputs/00185.png Saved ./outputs/00186.png Saved ./outputs/00187.png Saved ./outputs/00188.png Saved ./outputs/00189.png Saved ./outputs/00190.png Saved ./outputs/00191.png Saved ./outputs/00192.png Saved ./outputs/00193.png Saved ./outputs/00194.png Saved ./outputs/00195.png Saved ./outputs/00196.png Saved ./outputs/00197.png Saved ./outputs/00198.png Saved ./outputs/00199.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.28it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.68it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00200.png Saved ./outputs/00201.png Saved ./outputs/00202.png Saved ./outputs/00203.png Saved ./outputs/00204.png Saved ./outputs/00205.png Saved ./outputs/00206.png Saved ./outputs/00207.png Saved ./outputs/00208.png Saved ./outputs/00209.png Saved ./outputs/00210.png Saved ./outputs/00211.png Saved ./outputs/00212.png Saved ./outputs/00213.png Saved ./outputs/00214.png Saved ./outputs/00215.png Saved ./outputs/00216.png Saved ./outputs/00217.png Saved ./outputs/00218.png Saved ./outputs/00219.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.30it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00220.png Saved ./outputs/00221.png Saved ./outputs/00222.png Saved ./outputs/00223.png Saved ./outputs/00224.png Saved ./outputs/00225.png Saved ./outputs/00226.png Saved ./outputs/00227.png Saved ./outputs/00228.png Saved ./outputs/00229.png Saved ./outputs/00230.png Saved ./outputs/00231.png Saved ./outputs/00232.png Saved ./outputs/00233.png Saved ./outputs/00234.png Saved ./outputs/00235.png Saved ./outputs/00236.png Saved ./outputs/00237.png Saved ./outputs/00238.png Saved ./outputs/00239.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.29it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00240.png Saved ./outputs/00241.png Saved ./outputs/00242.png Saved ./outputs/00243.png Saved ./outputs/00244.png Saved ./outputs/00245.png Saved ./outputs/00246.png Saved ./outputs/00247.png Saved ./outputs/00248.png Saved ./outputs/00249.png Saved ./outputs/00250.png Saved ./outputs/00251.png Saved ./outputs/00252.png Saved ./outputs/00253.png Saved ./outputs/00254.png Saved ./outputs/00255.png Saved ./outputs/00256.png Saved ./outputs/00257.png Saved ./outputs/00258.png Saved ./outputs/00259.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.29it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00260.png Saved ./outputs/00261.png Saved ./outputs/00262.png Saved ./outputs/00263.png Saved ./outputs/00264.png Saved ./outputs/00265.png Saved ./outputs/00266.png Saved ./outputs/00267.png Saved ./outputs/00268.png Saved ./outputs/00269.png Saved ./outputs/00270.png Saved ./outputs/00271.png Saved ./outputs/00272.png Saved ./outputs/00273.png Saved ./outputs/00274.png Saved ./outputs/00275.png Saved ./outputs/00276.png Saved ./outputs/00277.png Saved ./outputs/00278.png Saved ./outputs/00279.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.29it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00280.png Saved ./outputs/00281.png Saved ./outputs/00282.png Saved ./outputs/00283.png Saved ./outputs/00284.png Saved ./outputs/00285.png Saved ./outputs/00286.png Saved ./outputs/00287.png Saved ./outputs/00288.png Saved ./outputs/00289.png Saved ./outputs/00290.png Saved ./outputs/00291.png Saved ./outputs/00292.png Saved ./outputs/00293.png Saved ./outputs/00294.png Saved ./outputs/00295.png Saved ./outputs/00296.png Saved ./outputs/00297.png Saved ./outputs/00298.png Saved ./outputs/00299.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.26it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.17it/s] 20%|██ | 3/15 [00:01<00:06, 1.93it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00300.png Saved ./outputs/00301.png Saved ./outputs/00302.png Saved ./outputs/00303.png Saved ./outputs/00304.png Saved ./outputs/00305.png Saved ./outputs/00306.png Saved ./outputs/00307.png Saved ./outputs/00308.png Saved ./outputs/00309.png Saved ./outputs/00310.png Saved ./outputs/00311.png Saved ./outputs/00312.png Saved ./outputs/00313.png Saved ./outputs/00314.png Saved ./outputs/00315.png Saved ./outputs/00316.png Saved ./outputs/00317.png Saved ./outputs/00318.png Saved ./outputs/00319.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.84it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.16it/s] 20%|██ | 3/15 [00:01<00:06, 1.90it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.80it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.74it/s] 40%|████ | 6/15 [00:03<00:05, 1.71it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.72it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00320.png Saved ./outputs/00321.png Saved ./outputs/00322.png Saved ./outputs/00323.png Saved ./outputs/00324.png Saved ./outputs/00325.png Saved ./outputs/00326.png Saved ./outputs/00327.png Saved ./outputs/00328.png Saved ./outputs/00329.png Saved ./outputs/00330.png Saved ./outputs/00331.png Saved ./outputs/00332.png Saved ./outputs/00333.png Saved ./outputs/00334.png Saved ./outputs/00335.png Saved ./outputs/00336.png Saved ./outputs/00337.png Saved ./outputs/00338.png Saved ./outputs/00339.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.28it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00340.png Saved ./outputs/00341.png Saved ./outputs/00342.png Saved ./outputs/00343.png Saved ./outputs/00344.png Saved ./outputs/00345.png Saved ./outputs/00346.png Saved ./outputs/00347.png Saved ./outputs/00348.png Saved ./outputs/00349.png Saved ./outputs/00350.png Saved ./outputs/00351.png Saved ./outputs/00352.png Saved ./outputs/00353.png Saved ./outputs/00354.png Saved ./outputs/00355.png Saved ./outputs/00356.png Saved ./outputs/00357.png Saved ./outputs/00358.png Saved ./outputs/00359.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.28it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.22it/s] 20%|██ | 3/15 [00:01<00:06, 1.92it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.81it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.75it/s] 40%|████ | 6/15 [00:03<00:05, 1.72it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.70it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.68it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:02, 1.67it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.66it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.66it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.66it/s] 100%|██████████| 15/15 [00:08<00:00, 1.73it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00360.png Saved ./outputs/00361.png Saved ./outputs/00362.png Saved ./outputs/00363.png Saved ./outputs/00364.png Saved ./outputs/00365.png Saved ./outputs/00366.png Saved ./outputs/00367.png Saved ./outputs/00368.png Saved ./outputs/00369.png Saved ./outputs/00370.png Saved ./outputs/00371.png Saved ./outputs/00372.png Saved ./outputs/00373.png Saved ./outputs/00374.png Saved ./outputs/00375.png Saved ./outputs/00376.png Saved ./outputs/00377.png Saved ./outputs/00378.png Saved ./outputs/00379.png data_batch torch.Size([4, 77, 768]) start_code_batch torch.Size([5, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 0%| | 0/15 [00:00<?, ?it/s] diffuse failed. returning empty list. Your samples have been saved to: ./outputs Enjoy. total 241024 -rw-r--r-- 1 root root 639167 Feb 2 20:31 00000.png -rw-r--r-- 1 root root 641885 Feb 2 20:31 00001.png -rw-r--r-- 1 root root 642730 Feb 2 20:31 00002.png -rw-r--r-- 1 root root 646533 Feb 2 20:31 00003.png -rw-r--r-- 1 root root 653272 Feb 2 20:31 00004.png -rw-r--r-- 1 root root 651014 Feb 2 20:31 00005.png -rw-r--r-- 1 root root 648349 Feb 2 20:31 00006.png -rw-r--r-- 1 root root 648112 Feb 2 20:31 00007.png -rw-r--r-- 1 root root 648888 Feb 2 20:31 00008.png -rw-r--r-- 1 root root 651812 Feb 2 20:31 00009.png -rw-r--r-- 1 root root 648385 Feb 2 20:31 00010.png -rw-r--r-- 1 root root 648649 Feb 2 20:31 00011.png -rw-r--r-- 1 root root 648155 Feb 2 20:31 00012.png -rw-r--r-- 1 root root 650334 Feb 2 20:31 00013.png -rw-r--r-- 1 root root 648019 Feb 2 20:31 00014.png -rw-r--r-- 1 root root 649154 Feb 2 20:31 00015.png -rw-r--r-- 1 root root 647551 Feb 2 20:31 00016.png -rw-r--r-- 1 root root 647432 Feb 2 20:31 00017.png -rw-r--r-- 1 root root 646679 Feb 2 20:31 00018.png -rw-r--r-- 1 root root 651405 Feb 2 20:31 00019.png -rw-r--r-- 1 root root 648952 Feb 2 20:31 00020.png -rw-r--r-- 1 root root 649400 Feb 2 20:31 00021.png -rw-r--r-- 1 root root 647296 Feb 2 20:31 00022.png -rw-r--r-- 1 root root 645053 Feb 2 20:31 00023.png -rw-r--r-- 1 root root 649228 Feb 2 20:31 00024.png -rw-r--r-- 1 root root 648605 Feb 2 20:31 00025.png -rw-r--r-- 1 root root 646175 Feb 2 20:31 00026.png -rw-r--r-- 1 root root 647667 Feb 2 20:31 00027.png -rw-r--r-- 1 root root 641576 Feb 2 20:31 00028.png -rw-r--r-- 1 root root 643805 Feb 2 20:31 00029.png -rw-r--r-- 1 root root 645224 Feb 2 20:31 00030.png -rw-r--r-- 1 root root 654975 Feb 2 20:31 00031.png -rw-r--r-- 1 root root 659854 Feb 2 20:31 00032.png -rw-r--r-- 1 root root 660218 Feb 2 20:31 00033.png -rw-r--r-- 1 root root 662156 Feb 2 20:31 00034.png -rw-r--r-- 1 root root 659127 Feb 2 20:31 00035.png -rw-r--r-- 1 root root 657428 Feb 2 20:31 00036.png -rw-r--r-- 1 root root 661042 Feb 2 20:31 00037.png -rw-r--r-- 1 root root 644236 Feb 2 20:31 00038.png -rw-r--r-- 1 root root 641917 Feb 2 20:31 00039.png -rw-r--r-- 1 root root 646954 Feb 2 20:32 00040.png -rw-r--r-- 1 root root 650613 Feb 2 20:32 00041.png -rw-r--r-- 1 root root 650080 Feb 2 20:32 00042.png -rw-r--r-- 1 root root 647973 Feb 2 20:32 00043.png -rw-r--r-- 1 root root 639788 Feb 2 20:32 00044.png -rw-r--r-- 1 root root 647626 Feb 2 20:32 00045.png -rw-r--r-- 1 root root 651544 Feb 2 20:32 00046.png -rw-r--r-- 1 root root 649826 Feb 2 20:32 00047.png -rw-r--r-- 1 root root 650314 Feb 2 20:32 00048.png -rw-r--r-- 1 root root 650944 Feb 2 20:32 00049.png -rw-r--r-- 1 root root 647880 Feb 2 20:32 00050.png -rw-r--r-- 1 root root 638860 Feb 2 20:32 00051.png -rw-r--r-- 1 root root 650656 Feb 2 20:32 00052.png -rw-r--r-- 1 root root 648083 Feb 2 20:32 00053.png -rw-r--r-- 1 root root 647151 Feb 2 20:32 00054.png -rw-r--r-- 1 root root 649103 Feb 2 20:32 00055.png -rw-r--r-- 1 root root 647051 Feb 2 20:32 00056.png -rw-r--r-- 1 root root 645256 Feb 2 20:32 00057.png -rw-r--r-- 1 root root 646597 Feb 2 20:32 00058.png -rw-r--r-- 1 root root 647096 Feb 2 20:32 00059.png -rw-r--r-- 1 root root 648074 Feb 2 20:32 00060.png -rw-r--r-- 1 root root 649924 Feb 2 20:32 00061.png -rw-r--r-- 1 root root 648924 Feb 2 20:32 00062.png -rw-r--r-- 1 root root 649700 Feb 2 20:32 00063.png -rw-r--r-- 1 root root 646612 Feb 2 20:32 00064.png -rw-r--r-- 1 root root 649143 Feb 2 20:32 00065.png -rw-r--r-- 1 root root 648701 Feb 2 20:32 00066.png -rw-r--r-- 1 root root 644874 Feb 2 20:32 00067.png -rw-r--r-- 1 root root 648707 Feb 2 20:32 00068.png -rw-r--r-- 1 root root 643026 Feb 2 20:32 00069.png -rw-r--r-- 1 root root 642595 Feb 2 20:32 00070.png -rw-r--r-- 1 root root 649148 Feb 2 20:32 00071.png -rw-r--r-- 1 root root 648783 Feb 2 20:32 00072.png -rw-r--r-- 1 root root 649222 Feb 2 20:32 00073.png -rw-r--r-- 1 root root 645513 Feb 2 20:32 00074.png -rw-r--r-- 1 root root 640803 Feb 2 20:32 00075.png -rw-r--r-- 1 root root 640687 Feb 2 20:32 00076.png -rw-r--r-- 1 root root 639676 Feb 2 20:32 00077.png -rw-r--r-- 1 root root 641639 Feb 2 20:32 00078.png -rw-r--r-- 1 root root 643587 Feb 2 20:32 00079.png -rw-r--r-- 1 root root 645642 Feb 2 20:32 00080.png -rw-r--r-- 1 root root 654226 Feb 2 20:32 00081.png -rw-r--r-- 1 root root 655995 Feb 2 20:32 00082.png -rw-r--r-- 1 root root 661225 Feb 2 20:32 00083.png -rw-r--r-- 1 root root 658393 Feb 2 20:32 00084.png -rw-r--r-- 1 root root 658579 Feb 2 20:32 00085.png -rw-r--r-- 1 root root 640597 Feb 2 20:32 00086.png -rw-r--r-- 1 root root 640370 Feb 2 20:32 00087.png -rw-r--r-- 1 root root 646756 Feb 2 20:32 00088.png -rw-r--r-- 1 root root 651206 Feb 2 20:32 00089.png -rw-r--r-- 1 root root 648874 Feb 2 20:32 00090.png -rw-r--r-- 1 root root 640078 Feb 2 20:32 00091.png -rw-r--r-- 1 root root 639428 Feb 2 20:32 00092.png -rw-r--r-- 1 root root 647015 Feb 2 20:32 00093.png -rw-r--r-- 1 root root 650640 Feb 2 20:32 00094.png -rw-r--r-- 1 root root 651028 Feb 2 20:32 00095.png -rw-r--r-- 1 root root 650584 Feb 2 20:32 00096.png -rw-r--r-- 1 root root 643725 Feb 2 20:32 00097.png -rw-r--r-- 1 root root 651308 Feb 2 20:32 00098.png -rw-r--r-- 1 root root 659000 Feb 2 20:32 00099.png -rw-r--r-- 1 root root 654212 Feb 2 20:32 00100.png -rw-r--r-- 1 root root 675223 Feb 2 20:32 00101.png -rw-r--r-- 1 root root 681184 Feb 2 20:32 00102.png -rw-r--r-- 1 root root 670155 Feb 2 20:32 00103.png -rw-r--r-- 1 root root 663098 Feb 2 20:32 00104.png -rw-r--r-- 1 root root 662783 Feb 2 20:32 00105.png -rw-r--r-- 1 root root 643855 Feb 2 20:32 00106.png -rw-r--r-- 1 root root 647895 Feb 2 20:32 00107.png -rw-r--r-- 1 root root 646160 Feb 2 20:32 00108.png -rw-r--r-- 1 root root 648188 Feb 2 20:32 00109.png -rw-r--r-- 1 root root 645940 Feb 2 20:32 00110.png -rw-r--r-- 1 root root 640335 Feb 2 20:32 00111.png -rw-r--r-- 1 root root 644156 Feb 2 20:32 00112.png -rw-r--r-- 1 root root 640487 Feb 2 20:32 00113.png -rw-r--r-- 1 root root 646710 Feb 2 20:32 00114.png -rw-r--r-- 1 root root 639969 Feb 2 20:32 00115.png -rw-r--r-- 1 root root 631271 Feb 2 20:32 00116.png -rw-r--r-- 1 root root 620819 Feb 2 20:32 00117.png -rw-r--r-- 1 root root 614261 Feb 2 20:32 00118.png -rw-r--r-- 1 root root 611489 Feb 2 20:32 00119.png -rw-r--r-- 1 root root 615540 Feb 2 20:32 00120.png -rw-r--r-- 1 root root 612212 Feb 2 20:32 00121.png -rw-r--r-- 1 root root 612634 Feb 2 20:32 00122.png -rw-r--r-- 1 root root 612219 Feb 2 20:32 00123.png -rw-r--r-- 1 root root 612613 Feb 2 20:32 00124.png -rw-r--r-- 1 root root 612839 Feb 2 20:32 00125.png -rw-r--r-- 1 root root 614184 Feb 2 20:32 00126.png -rw-r--r-- 1 root root 614274 Feb 2 20:32 00127.png -rw-r--r-- 1 root root 612756 Feb 2 20:32 00128.png -rw-r--r-- 1 root root 609624 Feb 2 20:32 00129.png -rw-r--r-- 1 root root 608464 Feb 2 20:32 00130.png -rw-r--r-- 1 root root 610217 Feb 2 20:32 00131.png -rw-r--r-- 1 root root 615515 Feb 2 20:32 00132.png -rw-r--r-- 1 root root 619639 Feb 2 20:32 00133.png -rw-r--r-- 1 root root 617508 Feb 2 20:32 00134.png -rw-r--r-- 1 root root 614544 Feb 2 20:32 00135.png -rw-r--r-- 1 root root 612886 Feb 2 20:32 00136.png -rw-r--r-- 1 root root 612061 Feb 2 20:32 00137.png -rw-r--r-- 1 root root 612686 Feb 2 20:32 00138.png -rw-r--r-- 1 root root 613062 Feb 2 20:32 00139.png -rw-r--r-- 1 root root 612043 Feb 2 20:33 00140.png -rw-r--r-- 1 root root 613261 Feb 2 20:33 00141.png -rw-r--r-- 1 root root 611699 Feb 2 20:33 00142.png -rw-r--r-- 1 root root 610372 Feb 2 20:33 00143.png -rw-r--r-- 1 root root 610400 Feb 2 20:33 00144.png -rw-r--r-- 1 root root 612612 Feb 2 20:33 00145.png -rw-r--r-- 1 root root 612852 Feb 2 20:33 00146.png -rw-r--r-- 1 root root 612792 Feb 2 20:33 00147.png -rw-r--r-- 1 root root 613622 Feb 2 20:33 00148.png -rw-r--r-- 1 root root 615345 Feb 2 20:33 00149.png -rw-r--r-- 1 root root 612091 Feb 2 20:33 00150.png -rw-r--r-- 1 root root 611337 Feb 2 20:33 00151.png -rw-r--r-- 1 root root 608592 Feb 2 20:33 00152.png -rw-r--r-- 1 root root 610719 Feb 2 20:33 00153.png -rw-r--r-- 1 root root 606896 Feb 2 20:33 00154.png -rw-r--r-- 1 root root 613208 Feb 2 20:33 00155.png -rw-r--r-- 1 root root 614346 Feb 2 20:33 00156.png -rw-r--r-- 1 root root 614170 Feb 2 20:33 00157.png -rw-r--r-- 1 root root 614096 Feb 2 20:33 00158.png -rw-r--r-- 1 root root 613237 Feb 2 20:33 00159.png -rw-r--r-- 1 root root 613537 Feb 2 20:33 00160.png -rw-r--r-- 1 root root 614587 Feb 2 20:33 00161.png -rw-r--r-- 1 root root 613937 Feb 2 20:33 00162.png -rw-r--r-- 1 root root 613467 Feb 2 20:33 00163.png -rw-r--r-- 1 root root 612875 Feb 2 20:33 00164.png -rw-r--r-- 1 root root 613257 Feb 2 20:33 00165.png -rw-r--r-- 1 root root 614260 Feb 2 20:33 00166.png -rw-r--r-- 1 root root 613813 Feb 2 20:33 00167.png -rw-r--r-- 1 root root 613781 Feb 2 20:33 00168.png -rw-r--r-- 1 root root 613271 Feb 2 20:33 00169.png -rw-r--r-- 1 root root 613998 Feb 2 20:33 00170.png -rw-r--r-- 1 root root 615013 Feb 2 20:33 00171.png -rw-r--r-- 1 root root 614107 Feb 2 20:33 00172.png -rw-r--r-- 1 root root 614986 Feb 2 20:33 00173.png -rw-r--r-- 1 root root 614970 Feb 2 20:33 00174.png -rw-r--r-- 1 root root 613495 Feb 2 20:33 00175.png -rw-r--r-- 1 root root 613432 Feb 2 20:33 00176.png -rw-r--r-- 1 root root 614059 Feb 2 20:33 00177.png -rw-r--r-- 1 root root 615174 Feb 2 20:33 00178.png -rw-r--r-- 1 root root 614411 Feb 2 20:33 00179.png -rw-r--r-- 1 root root 613236 Feb 2 20:33 00180.png -rw-r--r-- 1 root root 615473 Feb 2 20:33 00181.png -rw-r--r-- 1 root root 613863 Feb 2 20:33 00182.png -rw-r--r-- 1 root root 613733 Feb 2 20:33 00183.png -rw-r--r-- 1 root root 613603 Feb 2 20:33 00184.png -rw-r--r-- 1 root root 612806 Feb 2 20:33 00185.png -rw-r--r-- 1 root root 613993 Feb 2 20:33 00186.png -rw-r--r-- 1 root root 613762 Feb 2 20:33 00187.png -rw-r--r-- 1 root root 613797 Feb 2 20:33 00188.png -rw-r--r-- 1 root root 613614 Feb 2 20:33 00189.png -rw-r--r-- 1 root root 613724 Feb 2 20:33 00190.png -rw-r--r-- 1 root root 611039 Feb 2 20:33 00191.png -rw-r--r-- 1 root root 613563 Feb 2 20:33 00192.png -rw-r--r-- 1 root root 620664 Feb 2 20:33 00193.png -rw-r--r-- 1 root root 653823 Feb 2 20:33 00194.png -rw-r--r-- 1 root root 661086 Feb 2 20:33 00195.png -rw-r--r-- 1 root root 663369 Feb 2 20:33 00196.png -rw-r--r-- 1 root root 671696 Feb 2 20:33 00197.png -rw-r--r-- 1 root root 674575 Feb 2 20:33 00198.png -rw-r--r-- 1 root root 672037 Feb 2 20:33 00199.png -rw-r--r-- 1 root root 668862 Feb 2 20:33 00200.png -rw-r--r-- 1 root root 667469 Feb 2 20:33 00201.png -rw-r--r-- 1 root root 669203 Feb 2 20:33 00202.png -rw-r--r-- 1 root root 672008 Feb 2 20:33 00203.png -rw-r--r-- 1 root root 684236 Feb 2 20:33 00204.png -rw-r--r-- 1 root root 682518 Feb 2 20:33 00205.png -rw-r--r-- 1 root root 682406 Feb 2 20:33 00206.png -rw-r--r-- 1 root root 678760 Feb 2 20:33 00207.png -rw-r--r-- 1 root root 678793 Feb 2 20:33 00208.png -rw-r--r-- 1 root root 683350 Feb 2 20:33 00209.png -rw-r--r-- 1 root root 689985 Feb 2 20:33 00210.png -rw-r--r-- 1 root root 692513 Feb 2 20:33 00211.png -rw-r--r-- 1 root root 691217 Feb 2 20:33 00212.png -rw-r--r-- 1 root root 691331 Feb 2 20:33 00213.png -rw-r--r-- 1 root root 690714 Feb 2 20:33 00214.png -rw-r--r-- 1 root root 685962 Feb 2 20:33 00215.png -rw-r--r-- 1 root root 680953 Feb 2 20:33 00216.png -rw-r--r-- 1 root root 666234 Feb 2 20:33 00217.png -rw-r--r-- 1 root root 665217 Feb 2 20:33 00218.png -rw-r--r-- 1 root root 662154 Feb 2 20:33 00219.png -rw-r--r-- 1 root root 663971 Feb 2 20:33 00220.png -rw-r--r-- 1 root root 665464 Feb 2 20:33 00221.png -rw-r--r-- 1 root root 667735 Feb 2 20:33 00222.png -rw-r--r-- 1 root root 667361 Feb 2 20:33 00223.png -rw-r--r-- 1 root root 667943 Feb 2 20:33 00224.png -rw-r--r-- 1 root root 665434 Feb 2 20:33 00225.png -rw-r--r-- 1 root root 667957 Feb 2 20:33 00226.png -rw-r--r-- 1 root root 664187 Feb 2 20:33 00227.png -rw-r--r-- 1 root root 669834 Feb 2 20:33 00228.png -rw-r--r-- 1 root root 668042 Feb 2 20:33 00229.png -rw-r--r-- 1 root root 665745 Feb 2 20:33 00230.png -rw-r--r-- 1 root root 666966 Feb 2 20:33 00231.png -rw-r--r-- 1 root root 670204 Feb 2 20:33 00232.png -rw-r--r-- 1 root root 669240 Feb 2 20:33 00233.png -rw-r--r-- 1 root root 671930 Feb 2 20:33 00234.png -rw-r--r-- 1 root root 670009 Feb 2 20:33 00235.png -rw-r--r-- 1 root root 667026 Feb 2 20:33 00236.png -rw-r--r-- 1 root root 669460 Feb 2 20:33 00237.png -rw-r--r-- 1 root root 661927 Feb 2 20:33 00238.png -rw-r--r-- 1 root root 665204 Feb 2 20:33 00239.png -rw-r--r-- 1 root root 663219 Feb 2 20:34 00240.png -rw-r--r-- 1 root root 667762 Feb 2 20:34 00241.png -rw-r--r-- 1 root root 665350 Feb 2 20:34 00242.png -rw-r--r-- 1 root root 665090 Feb 2 20:34 00243.png -rw-r--r-- 1 root root 664946 Feb 2 20:34 00244.png -rw-r--r-- 1 root root 661963 Feb 2 20:34 00245.png -rw-r--r-- 1 root root 667487 Feb 2 20:34 00246.png -rw-r--r-- 1 root root 663027 Feb 2 20:34 00247.png -rw-r--r-- 1 root root 663755 Feb 2 20:34 00248.png -rw-r--r-- 1 root root 662729 Feb 2 20:34 00249.png -rw-r--r-- 1 root root 666068 Feb 2 20:34 00250.png -rw-r--r-- 1 root root 662073 Feb 2 20:34 00251.png -rw-r--r-- 1 root root 660872 Feb 2 20:34 00252.png -rw-r--r-- 1 root root 663464 Feb 2 20:34 00253.png -rw-r--r-- 1 root root 661568 Feb 2 20:34 00254.png -rw-r--r-- 1 root root 660852 Feb 2 20:34 00255.png -rw-r--r-- 1 root root 659807 Feb 2 20:34 00256.png -rw-r--r-- 1 root root 664011 Feb 2 20:34 00257.png -rw-r--r-- 1 root root 665511 Feb 2 20:34 00258.png -rw-r--r-- 1 root root 665794 Feb 2 20:34 00259.png -rw-r--r-- 1 root root 665573 Feb 2 20:34 00260.png -rw-r--r-- 1 root root 660227 Feb 2 20:34 00261.png -rw-r--r-- 1 root root 663847 Feb 2 20:34 00262.png -rw-r--r-- 1 root root 660573 Feb 2 20:34 00263.png -rw-r--r-- 1 root root 663378 Feb 2 20:34 00264.png -rw-r--r-- 1 root root 663316 Feb 2 20:34 00265.png -rw-r--r-- 1 root root 660552 Feb 2 20:34 00266.png -rw-r--r-- 1 root root 661309 Feb 2 20:34 00267.png -rw-r--r-- 1 root root 658881 Feb 2 20:34 00268.png -rw-r--r-- 1 root root 657695 Feb 2 20:34 00269.png -rw-r--r-- 1 root root 655590 Feb 2 20:34 00270.png -rw-r--r-- 1 root root 659000 Feb 2 20:34 00271.png -rw-r--r-- 1 root root 656253 Feb 2 20:34 00272.png -rw-r--r-- 1 root root 660211 Feb 2 20:34 00273.png -rw-r--r-- 1 root root 661098 Feb 2 20:34 00274.png -rw-r--r-- 1 root root 662465 Feb 2 20:34 00275.png -rw-r--r-- 1 root root 661132 Feb 2 20:34 00276.png -rw-r--r-- 1 root root 663294 Feb 2 20:34 00277.png -rw-r--r-- 1 root root 662099 Feb 2 20:34 00278.png -rw-r--r-- 1 root root 663242 Feb 2 20:34 00279.png -rw-r--r-- 1 root root 662153 Feb 2 20:34 00280.png -rw-r--r-- 1 root root 657825 Feb 2 20:34 00281.png -rw-r--r-- 1 root root 660180 Feb 2 20:34 00282.png -rw-r--r-- 1 root root 658733 Feb 2 20:34 00283.png -rw-r--r-- 1 root root 656675 Feb 2 20:34 00284.png -rw-r--r-- 1 root root 659790 Feb 2 20:34 00285.png -rw-r--r-- 1 root root 660048 Feb 2 20:34 00286.png -rw-r--r-- 1 root root 666979 Feb 2 20:34 00287.png -rw-r--r-- 1 root root 662433 Feb 2 20:34 00288.png -rw-r--r-- 1 root root 666398 Feb 2 20:34 00289.png -rw-r--r-- 1 root root 653380 Feb 2 20:34 00290.png -rw-r--r-- 1 root root 655505 Feb 2 20:34 00291.png -rw-r--r-- 1 root root 655798 Feb 2 20:34 00292.png -rw-r--r-- 1 root root 656048 Feb 2 20:34 00293.png -rw-r--r-- 1 root root 665758 Feb 2 20:34 00294.png -rw-r--r-- 1 root root 670335 Feb 2 20:34 00295.png -rw-r--r-- 1 root root 672131 Feb 2 20:34 00296.png -rw-r--r-- 1 root root 671598 Feb 2 20:34 00297.png -rw-r--r-- 1 root root 672721 Feb 2 20:34 00298.png -rw-r--r-- 1 root root 675457 Feb 2 20:34 00299.png -rw-r--r-- 1 root root 676792 Feb 2 20:34 00300.png -rw-r--r-- 1 root root 675047 Feb 2 20:34 00301.png -rw-r--r-- 1 root root 680315 Feb 2 20:34 00302.png -rw-r--r-- 1 root root 678821 Feb 2 20:34 00303.png -rw-r--r-- 1 root root 669437 Feb 2 20:34 00304.png -rw-r--r-- 1 root root 674088 Feb 2 20:34 00305.png -rw-r--r-- 1 root root 663070 Feb 2 20:34 00306.png -rw-r--r-- 1 root root 675274 Feb 2 20:34 00307.png -rw-r--r-- 1 root root 664834 Feb 2 20:34 00308.png -rw-r--r-- 1 root root 674997 Feb 2 20:34 00309.png -rw-r--r-- 1 root root 666435 Feb 2 20:34 00310.png -rw-r--r-- 1 root root 670887 Feb 2 20:34 00311.png -rw-r--r-- 1 root root 661987 Feb 2 20:34 00312.png -rw-r--r-- 1 root root 649753 Feb 2 20:34 00313.png -rw-r--r-- 1 root root 634941 Feb 2 20:34 00314.png -rw-r--r-- 1 root root 644085 Feb 2 20:34 00315.png -rw-r--r-- 1 root root 643278 Feb 2 20:34 00316.png -rw-r--r-- 1 root root 644552 Feb 2 20:34 00317.png -rw-r--r-- 1 root root 636453 Feb 2 20:34 00318.png -rw-r--r-- 1 root root 652726 Feb 2 20:34 00319.png -rw-r--r-- 1 root root 647974 Feb 2 20:34 00320.png -rw-r--r-- 1 root root 647812 Feb 2 20:34 00321.png -rw-r--r-- 1 root root 648375 Feb 2 20:34 00322.png -rw-r--r-- 1 root root 652728 Feb 2 20:34 00323.png -rw-r--r-- 1 root root 654976 Feb 2 20:34 00324.png -rw-r--r-- 1 root root 643817 Feb 2 20:34 00325.png -rw-r--r-- 1 root root 650388 Feb 2 20:34 00326.png -rw-r--r-- 1 root root 651330 Feb 2 20:34 00327.png -rw-r--r-- 1 root root 650731 Feb 2 20:34 00328.png -rw-r--r-- 1 root root 650633 Feb 2 20:34 00329.png -rw-r--r-- 1 root root 650859 Feb 2 20:34 00330.png -rw-r--r-- 1 root root 649777 Feb 2 20:34 00331.png -rw-r--r-- 1 root root 649705 Feb 2 20:34 00332.png -rw-r--r-- 1 root root 649751 Feb 2 20:34 00333.png -rw-r--r-- 1 root root 651849 Feb 2 20:34 00334.png -rw-r--r-- 1 root root 649701 Feb 2 20:34 00335.png -rw-r--r-- 1 root root 647628 Feb 2 20:34 00336.png -rw-r--r-- 1 root root 654492 Feb 2 20:34 00337.png -rw-r--r-- 1 root root 645086 Feb 2 20:34 00338.png -rw-r--r-- 1 root root 644994 Feb 2 20:34 00339.png -rw-r--r-- 1 root root 646362 Feb 2 20:35 00340.png -rw-r--r-- 1 root root 647080 Feb 2 20:35 00341.png -rw-r--r-- 1 root root 650897 Feb 2 20:35 00342.png -rw-r--r-- 1 root root 651128 Feb 2 20:35 00343.png -rw-r--r-- 1 root root 649348 Feb 2 20:35 00344.png -rw-r--r-- 1 root root 649993 Feb 2 20:35 00345.png -rw-r--r-- 1 root root 648416 Feb 2 20:35 00346.png -rw-r--r-- 1 root root 649691 Feb 2 20:35 00347.png -rw-r--r-- 1 root root 649342 Feb 2 20:35 00348.png -rw-r--r-- 1 root root 644450 Feb 2 20:35 00349.png -rw-r--r-- 1 root root 649143 Feb 2 20:35 00350.png -rw-r--r-- 1 root root 656673 Feb 2 20:35 00351.png -rw-r--r-- 1 root root 656748 Feb 2 20:35 00352.png -rw-r--r-- 1 root root 642138 Feb 2 20:35 00353.png -rw-r--r-- 1 root root 642966 Feb 2 20:35 00354.png -rw-r--r-- 1 root root 648675 Feb 2 20:35 00355.png -rw-r--r-- 1 root root 645882 Feb 2 20:35 00356.png -rw-r--r-- 1 root root 640150 Feb 2 20:35 00357.png -rw-r--r-- 1 root root 648361 Feb 2 20:35 00358.png -rw-r--r-- 1 root root 651120 Feb 2 20:35 00359.png -rw-r--r-- 1 root root 643583 Feb 2 20:35 00360.png -rw-r--r-- 1 root root 648842 Feb 2 20:35 00361.png -rw-r--r-- 1 root root 658853 Feb 2 20:35 00362.png -rw-r--r-- 1 root root 658380 Feb 2 20:35 00363.png -rw-r--r-- 1 root root 657958 Feb 2 20:35 00364.png -rw-r--r-- 1 root root 659760 Feb 2 20:35 00365.png -rw-r--r-- 1 root root 657500 Feb 2 20:35 00366.png -rw-r--r-- 1 root root 649951 Feb 2 20:35 00367.png -rw-r--r-- 1 root root 641276 Feb 2 20:35 00368.png -rw-r--r-- 1 root root 642538 Feb 2 20:35 00369.png -rw-r--r-- 1 root root 644378 Feb 2 20:35 00370.png -rw-r--r-- 1 root root 644586 Feb 2 20:35 00371.png -rw-r--r-- 1 root root 644430 Feb 2 20:35 00372.png -rw-r--r-- 1 root root 661114 Feb 2 20:35 00373.png -rw-r--r-- 1 root root 658448 Feb 2 20:35 00374.png -rw-r--r-- 1 root root 659953 Feb 2 20:35 00375.png -rw-r--r-- 1 root root 658453 Feb 2 20:35 00376.png -rw-r--r-- 1 root root 654382 Feb 2 20:35 00377.png -rw-r--r-- 1 root root 649018 Feb 2 20:35 00378.png -rw-r--r-- 1 root root 645004 Feb 2 20:35 00379.png Thu Feb 2 20:35:12 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 NVIDIA A100-SXM... Off | 00000000:00:04.0 Off | 0 | | N/A 52C P0 159W / 400W | 37478MiB / 40960MiB | 2% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 104534 C 37475MiB | +-----------------------------------------------------------------------------+ total time 220.66894030570984 ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers built with gcc 11 (Ubuntu 11.2.0-19ubuntu1) configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared libavutil 56. 70.100 / 56. 70.100 libavcodec 58.134.100 / 58.134.100 libavformat 58. 76.100 / 58. 76.100 libavdevice 58. 13.100 / 58. 13.100 libavfilter 7.110.100 / 7.110.100 libswscale 5. 9.100 / 5. 9.100 libswresample 3. 9.100 / 3. 9.100 libpostproc 55. 9.100 / 55. 9.100 [image2 @ 0x55faf0656680] Pattern type 'glob_sequence' is deprecated: use pattern_type 'glob' instead Input #0, image2, from './outputs/%*.png': Duration: 00:00:15.20, start: 0.000000, bitrate: N/A Stream #0:0: Video: png, rgb24(pc), 512x512, 25 fps, 25 tbr, 25 tbn, 25 tbc [mp3 @ 0x55faf065d680] Estimating duration from bitrate, this may be inaccurate Input #1, mp3, from '/tmp/tmpn1p348f2ganze_boot.mp3': Duration: 00:00:24.01, start: 0.000000, bitrate: 320 kb/s Stream #1:0: Audio: mp3, 44100 Hz, stereo, fltp, 320 kb/s Stream mapping: Stream #0:0 -> #0:0 (png (native) -> h264 (libx264)) Stream #1:0 -> #0:1 (mp3 (mp3float) -> aac (native)) Press [q] to stop, [?] for help [image2 @ 0x55faf0656680] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8) [libx264 @ 0x55faf0664640] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512 [libx264 @ 0x55faf0664640] profile High, level 2.2, 4:2:0, 8-bit [libx264 @ 0x55faf0664640] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=16 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mp4, to '/tmp/z_interpollation.mp4': Metadata: encoder : Lavf58.76.100 Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 512x512, q=2-31, 16 fps, 16384 tbn Metadata: encoder : Lavc58.134.100 libx264 Side data: cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s Metadata: encoder : Lavc58.134.100 aac frame= 1 fps=0.0 q=0.0 size= 0kB time=00:00:00.00 bitrate=N/A speed= 0x frame= 73 fps=0.0 q=24.0 size= 0kB time=00:00:00.00 bitrate=6295.1kbits/s speed=0.000113x frame= 92 fps= 86 q=24.0 size= 1280kB time=00:00:01.18 bitrate=8830.0kbits/s speed=1.12x frame= 115 fps= 73 q=24.0 size= 3072kB time=00:00:02.62 bitrate=9586.9kbits/s speed=1.68x frame= 142 fps= 65 q=24.0 size= 4864kB time=00:00:04.31 bitrate=9226.0kbits/s speed=1.99x frame= 162 fps= 60 q=24.0 size= 6144kB time=00:00:05.56 bitrate=9048.4kbits/s speed=2.07x frame= 183 fps= 58 q=24.0 size= 7936kB time=00:00:06.87 bitrate=9456.2kbits/s speed=2.16x frame= 215 fps= 58 q=24.0 size= 8960kB time=00:00:08.87 bitrate=8270.4kbits/s speed= 2.4x frame= 257 fps= 61 q=24.0 size= 10240kB time=00:00:11.50 bitrate=7294.4kbits/s speed=2.74x frame= 270 fps= 57 q=24.0 size= 10752kB time=00:00:12.31 bitrate=7153.7kbits/s speed=2.62x frame= 294 fps= 56 q=24.0 size= 12800kB time=00:00:13.81 bitrate=7591.5kbits/s speed=2.65x frame= 318 fps= 55 q=24.0 size= 14336kB time=00:00:15.31 bitrate=7669.6kbits/s speed=2.63x frame= 340 fps= 54 q=24.0 size= 15872kB time=00:00:16.68 bitrate=7791.7kbits/s speed=2.64x frame= 360 fps= 53 q=24.0 size= 17152kB time=00:00:17.93 bitrate=7833.3kbits/s speed=2.62x frame= 379 fps= 52 q=24.0 size= 18688kB time=00:00:19.12 bitrate=8004.8kbits/s speed= 2.6x [mp4 @ 0x55faf06633c0] Starting second pass: moving the moov atom to the beginning of the file frame= 380 fps= 43 q=-1.0 Lsize= 23972kB time=00:00:23.73 bitrate=8275.3kbits/s speed=2.68x video:23572kB audio:385kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.064537% [libx264 @ 0x55faf0664640] frame I:10 Avg QP:22.52 size:121007 [libx264 @ 0x55faf0664640] frame P:102 Avg QP:24.21 size: 81138 [libx264 @ 0x55faf0664640] frame B:268 Avg QP:25.81 size: 54667 [libx264 @ 0x55faf0664640] consecutive B-frames: 4.7% 2.1% 4.7% 88.4% [libx264 @ 0x55faf0664640] mb I I16..4: 0.0% 24.6% 75.4% [libx264 @ 0x55faf0664640] mb P I16..4: 0.4% 15.5% 13.1% P16..4: 30.0% 24.2% 16.0% 0.0% 0.0% skip: 0.7% [libx264 @ 0x55faf0664640] mb B I16..4: 0.0% 3.4% 2.8% B16..8: 27.7% 19.5% 11.2% direct:26.2% skip: 9.1% L0:38.6% L1:27.0% BI:34.4% [libx264 @ 0x55faf0664640] 8x8 transform intra:48.8% inter:29.0% [libx264 @ 0x55faf0664640] direct mvs spatial:95.9% temporal:4.1% [libx264 @ 0x55faf0664640] coded y,uvDC,uvAC intra: 100.0% 97.3% 85.9% inter: 84.0% 81.3% 25.9% [libx264 @ 0x55faf0664640] i16 v,h,dc,p: 0% 4% 70% 26% [libx264 @ 0x55faf0664640] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 8% 36% 8% 7% 9% 7% 8% 9% [libx264 @ 0x55faf0664640] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 6% 6% 21% 11% 11% 11% 10% 11% 12% [libx264 @ 0x55faf0664640] i8c dc,h,v,p: 43% 19% 17% 21% [libx264 @ 0x55faf0664640] Weighted P-Frames: Y:46.1% UV:43.1% [libx264 @ 0x55faf0664640] ref P L0: 35.5% 16.2% 10.7% 14.8% 15.3% 7.5% 0.0% [libx264 @ 0x55faf0664640] ref B L0: 63.8% 22.5% 10.0% 3.7% [libx264 @ 0x55faf0664640] ref B L1: 90.6% 9.4% [libx264 @ 0x55faf0664640] kb/s:8130.35 [aac @ 0x55faf0671c80] Qavg: 681.378 ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers built with gcc 11 (Ubuntu 11.2.0-19ubuntu1) configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared libavutil 56. 70.100 / 56. 70.100 libavcodec 58.134.100 / 58.134.100 libavformat 58. 76.100 / 58. 76.100 libavdevice 58. 13.100 / 58. 13.100 libavfilter 7.110.100 / 7.110.100 libswscale 5. 9.100 / 5. 9.100 libswresample 3. 9.100 / 3. 9.100 libpostproc 55. 9.100 / 55. 9.100 Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/z_interpollation.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf58.76.100 Duration: 00:00:23.76, start: 0.000000, bitrate: 8266 kb/s Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 512x512, 8130 kb/s, 16 fps, 16 tbr, 16384 tbn, 32 tbc (default) Metadata: handler_name : VideoHandler vendor_id : [0][0][0][0] Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 132 kb/s (default) Metadata: handler_name : SoundHandler vendor_id : [0][0][0][0] Stream mapping: Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264)) Stream #0:1 -> #0:1 (aac (native) -> aac (native)) Press [q] to stop, [?] for help [libx264 @ 0x561a7cb2a200] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512 [libx264 @ 0x561a7cb2a200] profile High, level 3.1, 4:2:0, 8-bit [libx264 @ 0x561a7cb2a200] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mp4, to '/tmp/z_interpollation_40fps.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf58.76.100 Stream #0:0(und): Video: h264 (avc1 / 0x31637661), yuv420p(progressive), 512x512, q=2-31, 40 fps, 10240 tbn (default) Metadata: handler_name : VideoHandler vendor_id : [0][0][0][0] encoder : Lavc58.134.100 libx264 Side data: cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default) Metadata: handler_name : SoundHandler vendor_id : [0][0][0][0] encoder : Lavc58.134.100 aac frame= 3 fps=0.0 q=0.0 size= 0kB time=00:00:00.81 bitrate= 0.5kbits/s speed= 11x frame= 8 fps=0.0 q=0.0 size= 0kB time=00:00:00.97 bitrate= 0.4kbits/s speed=1.53x frame= 16 fps= 14 q=0.0 size= 0kB time=00:00:01.16 bitrate= 0.3kbits/s speed=0.986x frame= 23 fps= 13 q=0.0 size= 0kB time=00:00:01.34 bitrate= 0.3kbits/s speed=0.77x frame= 31 fps= 14 q=0.0 size= 0kB time=00:00:01.53 bitrate= 0.3kbits/s speed=0.668x frame= 38 fps= 13 q=0.0 size= 0kB time=00:00:01.71 bitrate= 0.2kbits/s speed=0.605x frame= 46 fps= 14 q=0.0 size= 0kB time=00:00:01.90 bitrate= 0.2kbits/s speed=0.561x frame= 53 fps= 13 q=0.0 size= 0kB time=00:00:02.08 bitrate= 0.2kbits/s speed=0.531x frame= 61 fps= 14 q=30.0 size= 0kB time=00:00:02.27 bitrate= 0.2kbits/s speed=0.507x frame= 68 fps= 13 q=30.0 size= 0kB time=00:00:02.46 bitrate= 0.2kbits/s speed=0.488x frame= 76 fps= 14 q=30.0 size= 256kB time=00:00:02.64 bitrate= 792.4kbits/s speed=0.474x frame= 83 fps= 14 q=30.0 size= 256kB time=00:00:02.83 bitrate= 740.4kbits/s speed=0.462x frame= 91 fps= 14 q=30.0 size= 512kB time=00:00:03.01 bitrate=1389.6kbits/s speed=0.453x frame= 98 fps= 14 q=30.0 size= 512kB time=00:00:03.20 bitrate=1309.1kbits/s speed=0.444x frame= 106 fps= 14 q=30.0 size= 768kB time=00:00:03.41 bitrate=1843.3kbits/s speed=0.439x frame= 113 fps= 14 q=30.0 size= 768kB time=00:00:03.59 bitrate=1748.2kbits/s speed=0.432x frame= 121 fps= 14 q=30.0 size= 1024kB time=00:00:03.78 bitrate=2216.5kbits/s speed=0.426x frame= 128 fps= 14 q=30.0 size= 1280kB time=00:00:03.97 bitrate=2640.9kbits/s speed=0.421x frame= 136 fps= 14 q=30.0 size= 1280kB time=00:00:04.15 bitrate=2522.9kbits/s speed=0.417x frame= 143 fps= 14 q=30.0 size= 1536kB time=00:00:04.34 bitrate=2898.0kbits/s speed=0.413x frame= 151 fps= 14 q=30.0 size= 1536kB time=00:00:04.52 bitrate=2779.1kbits/s speed=0.409x frame= 158 fps= 14 q=30.0 size= 1536kB time=00:00:04.71 bitrate=2669.5kbits/s speed=0.406x frame= 166 fps= 14 q=30.0 size= 1792kB time=00:00:04.89 bitrate=2996.4kbits/s speed=0.403x frame= 173 fps= 14 q=30.0 size= 2048kB time=00:00:05.08 bitrate=3299.3kbits/s speed= 0.4x frame= 181 fps= 14 q=30.0 size= 2048kB time=00:00:05.27 bitrate=3183.0kbits/s speed=0.398x frame= 188 fps= 14 q=30.0 size= 2304kB time=00:00:05.45 bitrate=3459.0kbits/s speed=0.394x frame= 196 fps= 14 q=30.0 size= 2304kB time=00:00:05.64 bitrate=3345.1kbits/s speed=0.392x frame= 203 fps= 14 q=30.0 size= 2560kB time=00:00:05.85 bitrate=3584.1kbits/s speed=0.392x frame= 211 fps= 14 q=30.0 size= 2816kB time=00:00:06.03 bitrate=3821.2kbits/s speed=0.391x frame= 218 fps= 14 q=30.0 size= 2816kB time=00:00:06.22 bitrate=3707.1kbits/s speed=0.389x frame= 226 fps= 14 q=30.0 size= 2816kB time=00:00:06.40 bitrate=3599.6kbits/s speed=0.387x frame= 233 fps= 14 q=30.0 size= 3072kB time=00:00:06.59 bitrate=3816.3kbits/s speed=0.386x frame= 241 fps= 14 q=30.0 size= 3072kB time=00:00:06.78 bitrate=3711.7kbits/s speed=0.384x frame= 248 fps= 14 q=30.0 size= 3328kB time=00:00:06.96 bitrate=3913.8kbits/s speed=0.383x frame= 256 fps= 14 q=30.0 size= 3584kB time=00:00:07.15 bitrate=4105.4kbits/s speed=0.381x frame= 263 fps= 14 q=30.0 size= 3584kB time=00:00:07.33 bitrate=4001.4kbits/s speed=0.38x frame= 271 fps= 14 q=30.0 size= 3584kB time=00:00:07.52 bitrate=3902.6kbits/s speed=0.378x frame= 278 fps= 14 q=30.0 size= 3840kB time=00:00:07.70 bitrate=4080.6kbits/s speed=0.377x frame= 286 fps= 14 q=30.0 size= 4096kB time=00:00:07.89 bitrate=4250.3kbits/s speed=0.376x frame= 293 fps= 14 q=30.0 size= 4096kB time=00:00:08.08 bitrate=4152.5kbits/s speed=0.375x frame= 301 fps= 14 q=30.0 size= 4352kB time=00:00:08.26 bitrate=4312.9kbits/s speed=0.375x frame= 308 fps= 14 q=30.0 size= 4352kB time=00:00:08.47 bitrate=4206.6kbits/s speed=0.375x frame= 316 fps= 14 q=30.0 size= 4608kB time=00:00:08.66 bitrate=4358.5kbits/s speed=0.375x frame= 323 fps= 14 q=30.0 size= 4864kB time=00:00:08.84 bitrate=4504.0kbits/s speed=0.375x frame= 331 fps= 14 q=30.0 size= 4864kB time=00:00:09.03 bitrate=4411.4kbits/s speed=0.374x frame= 338 fps= 14 q=30.0 size= 5120kB time=00:00:09.21 bitrate=4550.0kbits/s speed=0.374x frame= 346 fps= 14 q=30.0 size= 5120kB time=00:00:09.40 bitrate=4460.1kbits/s speed=0.374x frame= 353 fps= 14 q=30.0 size= 5376kB time=00:00:09.58 bitrate=4592.4kbits/s speed=0.373x frame= 361 fps= 14 q=30.0 size= 5376kB time=00:00:09.77 bitrate=4505.2kbits/s speed=0.373x frame= 368 fps= 14 q=30.0 size= 5376kB time=00:00:09.96 bitrate=4421.1kbits/s speed=0.372x frame= 376 fps= 14 q=30.0 size= 5632kB time=00:00:10.14 bitrate=4546.9kbits/s speed=0.372x frame= 383 fps= 14 q=30.0 size= 5632kB time=00:00:10.33 bitrate=4465.1kbits/s speed=0.372x frame= 391 fps= 14 q=30.0 size= 5632kB time=00:00:10.51 bitrate=4386.3kbits/s speed=0.371x frame= 398 fps= 14 q=30.0 size= 5632kB time=00:00:10.70 bitrate=4310.2kbits/s speed=0.371x frame= 406 fps= 14 q=30.0 size= 5888kB time=00:00:10.91 bitrate=4419.8kbits/s speed=0.372x frame= 413 fps= 14 q=30.0 size= 5888kB time=00:00:11.09 bitrate=4345.8kbits/s speed=0.372x frame= 421 fps= 14 q=30.0 size= 5888kB time=00:00:11.28 bitrate=4274.3kbits/s speed=0.371x frame= 428 fps= 14 q=30.0 size= 5888kB time=00:00:11.47 bitrate=4205.1kbits/s speed=0.371x frame= 436 fps= 14 q=30.0 size= 6144kB time=00:00:11.65 bitrate=4318.0kbits/s speed=0.371x frame= 443 fps= 14 q=30.0 size= 6144kB time=00:00:11.84 bitrate=4250.2kbits/s speed=0.371x frame= 451 fps= 14 q=30.0 size= 6400kB time=00:00:12.02 bitrate=4359.0kbits/s speed=0.37x frame= 458 fps= 14 q=30.0 size= 6400kB time=00:00:12.21 bitrate=4292.7kbits/s speed=0.37x frame= 466 fps= 14 q=30.0 size= 6400kB time=00:00:12.39 bitrate=4228.3kbits/s speed=0.37x frame= 473 fps= 14 q=30.0 size= 6400kB time=00:00:12.58 bitrate=4165.9kbits/s speed=0.37x frame= 481 fps= 14 q=30.0 size= 6400kB time=00:00:12.77 bitrate=4105.3kbits/s speed=0.37x frame= 488 fps= 14 q=30.0 size= 6400kB time=00:00:12.95 bitrate=4046.5kbits/s speed=0.369x frame= 496 fps= 14 q=30.0 size= 6656kB time=00:00:13.14 bitrate=4148.9kbits/s speed=0.368x frame= 503 fps= 14 q=30.0 size= 6656kB time=00:00:13.35 bitrate=4083.9kbits/s speed=0.368x frame= 511 fps= 14 q=30.0 size= 6656kB time=00:00:13.53 bitrate=4027.9kbits/s speed=0.368x frame= 518 fps= 14 q=30.0 size= 6656kB time=00:00:13.72 bitrate=3973.4kbits/s speed=0.368x frame= 526 fps= 14 q=30.0 size= 6656kB time=00:00:13.90 bitrate=3920.3kbits/s speed=0.367x frame= 533 fps= 14 q=27.0 size= 6656kB time=00:00:14.09 bitrate=3868.6kbits/s speed=0.367x frame= 541 fps= 14 q=30.0 size= 6912kB time=00:00:14.28 bitrate=3965.2kbits/s speed=0.367x frame= 548 fps= 14 q=30.0 size= 6912kB time=00:00:14.46 bitrate=3914.2kbits/s speed=0.366x frame= 556 fps= 14 q=30.0 size= 7168kB time=00:00:14.65 bitrate=4007.7kbits/s speed=0.366x frame= 563 fps= 14 q=30.0 size= 7424kB time=00:00:14.83 bitrate=4098.9kbits/s speed=0.366x frame= 571 fps= 14 q=30.0 size= 7424kB time=00:00:15.02 bitrate=4048.2kbits/s speed=0.365x frame= 578 fps= 14 q=30.0 size= 7680kB time=00:00:15.20 bitrate=4136.7kbits/s speed=0.365x frame= 586 fps= 14 q=30.0 size= 7936kB time=00:00:15.39 bitrate=4223.0kbits/s speed=0.365x frame= 593 fps= 14 q=30.0 size= 7936kB time=00:00:15.58 bitrate=4172.6kbits/s speed=0.364x frame= 601 fps= 14 q=30.0 size= 8192kB time=00:00:15.76 bitrate=4256.5kbits/s speed=0.364x frame= 608 fps= 14 q=30.0 size= 8192kB time=00:00:15.97 bitrate=4200.8kbits/s speed=0.364x frame= 616 fps= 14 q=30.0 size= 8448kB time=00:00:16.16 bitrate=4282.3kbits/s speed=0.364x frame= 623 fps= 14 q=30.0 size= 8448kB time=00:00:16.34 bitrate=4233.6kbits/s speed=0.364x frame= 631 fps= 14 q=30.0 size= 8704kB time=00:00:16.53 bitrate=4312.9kbits/s speed=0.363x frame= 638 fps= 14 q=30.0 size= 8704kB time=00:00:16.71 bitrate=4265.0kbits/s speed=0.363x frame= 646 fps= 14 q=30.0 size= 8960kB time=00:00:16.90 bitrate=4342.2kbits/s speed=0.363x frame= 653 fps= 14 q=30.0 size= 8960kB time=00:00:17.08 bitrate=4295.0kbits/s speed=0.363x frame= 661 fps= 14 q=30.0 size= 9216kB time=00:00:17.27 bitrate=4370.2kbits/s speed=0.363x frame= 668 fps= 14 q=30.0 size= 9216kB time=00:00:17.46 bitrate=4323.7kbits/s speed=0.362x frame= 676 fps= 14 q=30.0 size= 9472kB time=00:00:17.64 bitrate=4397.0kbits/s speed=0.362x frame= 683 fps= 14 q=30.0 size= 9472kB time=00:00:17.83 bitrate=4351.2kbits/s speed=0.362x frame= 691 fps= 14 q=30.0 size= 9728kB time=00:00:18.01 bitrate=4422.8kbits/s speed=0.362x frame= 698 fps= 14 q=30.0 size= 9728kB time=00:00:18.20 bitrate=4377.6kbits/s speed=0.361x frame= 706 fps= 14 q=30.0 size= 9984kB time=00:00:18.41 bitrate=4441.8kbits/s speed=0.362x frame= 713 fps= 14 q=30.0 size= 9984kB time=00:00:18.59 bitrate=4397.5kbits/s speed=0.362x frame= 721 fps= 14 q=30.0 size= 10240kB time=00:00:18.78 bitrate=4465.6kbits/s speed=0.361x frame= 728 fps= 14 q=30.0 size= 10496kB time=00:00:18.97 bitrate=4532.4kbits/s speed=0.361x frame= 736 fps= 14 q=30.0 size= 10496kB time=00:00:19.15 bitrate=4488.5kbits/s speed=0.361x frame= 743 fps= 14 q=30.0 size= 10496kB time=00:00:19.34 bitrate=4445.4kbits/s speed=0.361x frame= 751 fps= 14 q=30.0 size= 10752kB time=00:00:19.52 bitrate=4510.5kbits/s speed=0.361x frame= 758 fps= 14 q=30.0 size= 10752kB time=00:00:19.71 bitrate=4468.0kbits/s speed=0.361x frame= 766 fps= 14 q=30.0 size= 11008kB time=00:00:19.89 bitrate=4531.7kbits/s speed=0.36x frame= 773 fps= 14 q=30.0 size= 11008kB time=00:00:20.08 bitrate=4489.8kbits/s speed=0.36x frame= 781 fps= 14 q=30.0 size= 11264kB time=00:00:20.27 bitrate=4552.1kbits/s speed=0.36x frame= 788 fps= 14 q=30.0 size= 11520kB time=00:00:20.45 bitrate=4613.2kbits/s speed=0.36x frame= 796 fps= 14 q=30.0 size= 11520kB time=00:00:20.64 bitrate=4571.7kbits/s speed=0.36x frame= 803 fps= 14 q=30.0 size= 11776kB time=00:00:20.85 bitrate=4626.5kbits/s speed=0.36x frame= 811 fps= 14 q=30.0 size= 12032kB time=00:00:21.03 bitrate=4685.3kbits/s speed=0.36x frame= 818 fps= 14 q=30.0 size= 12032kB time=00:00:21.22 bitrate=4644.3kbits/s speed=0.36x frame= 826 fps= 14 q=30.0 size= 12288kB time=00:00:21.40 bitrate=4702.0kbits/s speed=0.359x frame= 833 fps= 14 q=30.0 size= 12544kB time=00:00:21.59 bitrate=4758.6kbits/s speed=0.359x frame= 841 fps= 14 q=30.0 size= 12544kB time=00:00:21.78 bitrate=4718.1kbits/s speed=0.359x frame= 848 fps= 14 q=30.0 size= 12800kB time=00:00:21.96 bitrate=4773.6kbits/s speed=0.359x frame= 856 fps= 14 q=30.0 size= 13056kB time=00:00:22.15 bitrate=4828.3kbits/s speed=0.359x frame= 863 fps= 14 q=30.0 size= 13056kB time=00:00:22.33 bitrate=4788.1kbits/s speed=0.359x frame= 871 fps= 14 q=30.0 size= 13312kB time=00:00:22.52 bitrate=4841.7kbits/s speed=0.358x frame= 878 fps= 14 q=30.0 size= 13312kB time=00:00:22.70 bitrate=4802.1kbits/s speed=0.358x frame= 886 fps= 14 q=30.0 size= 13568kB time=00:00:22.89 bitrate=4854.8kbits/s speed=0.358x frame= 893 fps= 14 q=30.0 size= 13568kB time=00:00:23.08 bitrate=4815.7kbits/s speed=0.358x frame= 901 fps= 14 q=30.0 size= 13824kB time=00:00:23.26 bitrate=4867.4kbits/s speed=0.358x frame= 908 fps= 14 q=30.0 size= 13824kB time=00:00:23.47 bitrate=4824.1kbits/s speed=0.358x frame= 918 fps= 14 q=30.0 size= 14080kB time=00:00:23.68 bitrate=4870.0kbits/s speed=0.358x frame= 926 fps= 14 q=30.0 size= 14336kB time=00:00:23.68 bitrate=4958.6kbits/s speed=0.355x frame= 933 fps= 14 q=30.0 size= 14336kB time=00:00:23.68 bitrate=4958.6kbits/s speed=0.352x frame= 941 fps= 14 q=30.0 size= 14592kB time=00:00:23.68 bitrate=5047.1kbits/s speed=0.35x frame= 946 fps= 14 q=30.0 size= 14592kB time=00:00:23.68 bitrate=5047.1kbits/s speed=0.347x frame= 946 fps= 14 q=-1.0 Lsize= 15796kB time=00:00:23.73 bitrate=5452.8kbits/s speed=0.346x video:15388kB audio:384kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.155245% [libx264 @ 0x561a7cb2a200] frame I:4 Avg QP:28.16 size: 70756 [libx264 @ 0x561a7cb2a200] frame P:474 Avg QP:28.02 size: 24375 [libx264 @ 0x561a7cb2a200] frame B:468 Avg QP:31.38 size: 8375 [libx264 @ 0x561a7cb2a200] consecutive B-frames: 29.6% 8.9% 13.3% 48.2% [libx264 @ 0x561a7cb2a200] mb I I16..4: 7.3% 64.4% 28.3% [libx264 @ 0x561a7cb2a200] mb P I16..4: 0.2% 9.0% 3.4% P16..4: 46.0% 12.1% 11.4% 0.0% 0.0% skip:17.8% [libx264 @ 0x561a7cb2a200] mb B I16..4: 0.0% 1.1% 0.8% B16..8: 17.5% 3.9% 2.4% direct: 9.3% skip:64.9% L0:35.1% L1:39.4% BI:25.5% [libx264 @ 0x561a7cb2a200] 8x8 transform intra:69.2% inter:44.1% [libx264 @ 0x561a7cb2a200] coded y,uvDC,uvAC intra: 99.1% 92.0% 67.3% inter: 36.0% 38.3% 4.5% [libx264 @ 0x561a7cb2a200] i16 v,h,dc,p: 7% 8% 59% 27% [libx264 @ 0x561a7cb2a200] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 10% 9% 40% 7% 5% 7% 6% 8% 8% [libx264 @ 0x561a7cb2a200] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 8% 26% 10% 9% 11% 8% 9% 9% [libx264 @ 0x561a7cb2a200] i8c dc,h,v,p: 45% 21% 20% 14% [libx264 @ 0x561a7cb2a200] Weighted P-Frames: Y:25.1% UV:22.6% [libx264 @ 0x561a7cb2a200] ref P L0: 60.4% 26.0% 6.0% 4.3% 3.3% [libx264 @ 0x561a7cb2a200] ref B L0: 83.0% 4.4% 12.6% [libx264 @ 0x561a7cb2a200] ref B L1: 99.0% 1.0% [libx264 @ 0x561a7cb2a200] kb/s:5329.86 [aac @ 0x561a7cb56d40] Qavg: 638.797
Prediction
pollinations/stable-diffusion-dance:dfb636aaInput
- width
- 512
- height
- 512
- prompts
- Speeding down the road, I didn't see The danger that was waiting for me A flash of light, a sudden stop The crunch of metal, I'm thrown from my cop
- audio_file
- Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%Stream Type LIVERemaining Time -00:00:0001x
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
- batch_size
- 20
- frame_rate
- 16
- random_seed
- 13
- prompt_scale
- 15
- style_suffix
- painting by andrew wyeth, very detailed, somber mood
- audio_smoothing
- 0.85
- diffusion_steps
- 15
- audio_noise_scale
- 0.3
- audio_loudness_type
- peak
- frame_interpolation
{ "width": 512, "height": 512, "prompts": "Speeding down the road, I didn't see\nThe danger that was waiting for me\nA flash of light, a sudden stop\nThe crunch of metal, I'm thrown from my cop", "audio_file": "https://replicate.delivery/pbxt/IFLHxqm6fHO75bWpN4IBIPbeEg8Y1TgjXGLtE4e7cRscwtU5/racingcar.aif", "batch_size": 20, "frame_rate": 16, "random_seed": 13, "prompt_scale": 15, "style_suffix": "painting by andrew wyeth, very detailed, somber mood", "audio_smoothing": 0.85, "diffusion_steps": 15, "audio_noise_scale": 0.3, "audio_loudness_type": "peak", "frame_interpolation": true }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "pollinations/stable-diffusion-dance:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", { input: { width: 512, height: 512, prompts: "Speeding down the road, I didn't see\nThe danger that was waiting for me\nA flash of light, a sudden stop\nThe crunch of metal, I'm thrown from my cop", audio_file: "https://replicate.delivery/pbxt/IFLHxqm6fHO75bWpN4IBIPbeEg8Y1TgjXGLtE4e7cRscwtU5/racingcar.aif", batch_size: 20, frame_rate: 16, random_seed: 13, prompt_scale: 15, style_suffix: "painting by andrew wyeth, very detailed, somber mood", audio_smoothing: 0.85, diffusion_steps: 15, audio_noise_scale: 0.3, audio_loudness_type: "peak", frame_interpolation: true } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "pollinations/stable-diffusion-dance:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", input={ "width": 512, "height": 512, "prompts": "Speeding down the road, I didn't see\nThe danger that was waiting for me\nA flash of light, a sudden stop\nThe crunch of metal, I'm thrown from my cop", "audio_file": "https://replicate.delivery/pbxt/IFLHxqm6fHO75bWpN4IBIPbeEg8Y1TgjXGLtE4e7cRscwtU5/racingcar.aif", "batch_size": 20, "frame_rate": 16, "random_seed": 13, "prompt_scale": 15, "style_suffix": "painting by andrew wyeth, very detailed, somber mood", "audio_smoothing": 0.85, "diffusion_steps": 15, "audio_noise_scale": 0.3, "audio_loudness_type": "peak", "frame_interpolation": True } ) # The pollinations/stable-diffusion-dance model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/pollinations/stable-diffusion-dance/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run pollinations/stable-diffusion-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280", "input": { "width": 512, "height": 512, "prompts": "Speeding down the road, I didn\'t see\\nThe danger that was waiting for me\\nA flash of light, a sudden stop\\nThe crunch of metal, I\'m thrown from my cop", "audio_file": "https://replicate.delivery/pbxt/IFLHxqm6fHO75bWpN4IBIPbeEg8Y1TgjXGLtE4e7cRscwtU5/racingcar.aif", "batch_size": 20, "frame_rate": 16, "random_seed": 13, "prompt_scale": 15, "style_suffix": "painting by andrew wyeth, very detailed, somber mood", "audio_smoothing": 0.85, "diffusion_steps": 15, "audio_noise_scale": 0.3, "audio_loudness_type": "peak", "frame_interpolation": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-02-02T23:35:50.452436Z", "created_at": "2023-02-02T23:29:18.685591Z", "data_removed": false, "error": null, "id": "wwpdbkatkzctnj5jgys6iirb44", "input": { "width": 512, "height": 512, "prompts": "Speeding down the road, I didn't see\nThe danger that was waiting for me\nA flash of light, a sudden stop\nThe crunch of metal, I'm thrown from my cop", "audio_file": "https://replicate.delivery/pbxt/IFLHxqm6fHO75bWpN4IBIPbeEg8Y1TgjXGLtE4e7cRscwtU5/racingcar.aif", "batch_size": 20, "frame_rate": 16, "random_seed": 13, "prompt_scale": 15, "style_suffix": "painting by andrew wyeth, very detailed, somber mood", "audio_smoothing": 0.85, "diffusion_steps": 15, "audio_noise_scale": 0.3, "audio_loudness_type": "peak", "frame_interpolation": true }, "logs": "translated prompts [\"Speeding down the road, I didn't see.painting by andrew wyeth, very detailed, somber mood\", \"Speeding down the road, I didn't see.painting by andrew wyeth, very detailed, somber mood\", 'The danger that was waiting for me.painting by andrew wyeth, very detailed, somber mood', 'A flash of light, a sudden stop.painting by andrew wyeth, very detailed, somber mood', \"The crunch of metal, I'm thrown from my cop.painting by andrew wyeth, very detailed, somber mood\"]\nusing audio file /tmp/tmp2igpf6z5racingcar.aif\nhop length 1378 audio length 695112 audio sr 22050\nlength of audio intensities505\nnum frames per prompt 126\nembedding prompts\nGlobal seed set to 13\nprompt 0 shape torch.Size([1, 77, 768])\nlen smoothed_audio_intensities 505 len interpolated_prompts 504\ninterp prompts 0 shape torch.Size([1, 77, 768]) start_codes 0 shape torch.Size([1, 4, 64, 64])\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.63it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.67it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.66it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.65it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.65it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.65it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00000.png\nSaved ./outputs/00001.png\nSaved ./outputs/00002.png\nSaved ./outputs/00003.png\nSaved ./outputs/00004.png\nSaved ./outputs/00005.png\nSaved ./outputs/00006.png\nSaved ./outputs/00007.png\nSaved ./outputs/00008.png\nSaved ./outputs/00009.png\nSaved ./outputs/00010.png\nSaved ./outputs/00011.png\nSaved ./outputs/00012.png\nSaved ./outputs/00013.png\nSaved ./outputs/00014.png\nSaved ./outputs/00015.png\nSaved ./outputs/00016.png\nSaved ./outputs/00017.png\nSaved ./outputs/00018.png\nSaved ./outputs/00019.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.98it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.18it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.79it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.66it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.65it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00020.png\nSaved ./outputs/00021.png\nSaved ./outputs/00022.png\nSaved ./outputs/00023.png\nSaved ./outputs/00024.png\nSaved ./outputs/00025.png\nSaved ./outputs/00026.png\nSaved ./outputs/00027.png\nSaved ./outputs/00028.png\nSaved ./outputs/00029.png\nSaved ./outputs/00030.png\nSaved ./outputs/00031.png\nSaved ./outputs/00032.png\nSaved ./outputs/00033.png\nSaved ./outputs/00034.png\nSaved ./outputs/00035.png\nSaved ./outputs/00036.png\nSaved ./outputs/00037.png\nSaved ./outputs/00038.png\nSaved ./outputs/00039.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.86it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.16it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.66it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.65it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.65it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.65it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00040.png\nSaved ./outputs/00041.png\nSaved ./outputs/00042.png\nSaved ./outputs/00043.png\nSaved ./outputs/00044.png\nSaved ./outputs/00045.png\nSaved ./outputs/00046.png\nSaved ./outputs/00047.png\nSaved ./outputs/00048.png\nSaved ./outputs/00049.png\nSaved ./outputs/00050.png\nSaved ./outputs/00051.png\nSaved ./outputs/00052.png\nSaved ./outputs/00053.png\nSaved ./outputs/00054.png\nSaved ./outputs/00055.png\nSaved ./outputs/00056.png\nSaved ./outputs/00057.png\nSaved ./outputs/00058.png\nSaved ./outputs/00059.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.77it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.14it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.66it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.65it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.65it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00060.png\nSaved ./outputs/00061.png\nSaved ./outputs/00062.png\nSaved ./outputs/00063.png\nSaved ./outputs/00064.png\nSaved ./outputs/00065.png\nSaved ./outputs/00066.png\nSaved ./outputs/00067.png\nSaved ./outputs/00068.png\nSaved ./outputs/00069.png\nSaved ./outputs/00070.png\nSaved ./outputs/00071.png\nSaved ./outputs/00072.png\nSaved ./outputs/00073.png\nSaved ./outputs/00074.png\nSaved ./outputs/00075.png\nSaved ./outputs/00076.png\nSaved ./outputs/00077.png\nSaved ./outputs/00078.png\nSaved ./outputs/00079.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.22it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.90it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.79it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00080.png\nSaved ./outputs/00081.png\nSaved ./outputs/00082.png\nSaved ./outputs/00083.png\nSaved ./outputs/00084.png\nSaved ./outputs/00085.png\nSaved ./outputs/00086.png\nSaved ./outputs/00087.png\nSaved ./outputs/00088.png\nSaved ./outputs/00089.png\nSaved ./outputs/00090.png\nSaved ./outputs/00091.png\nSaved ./outputs/00092.png\nSaved ./outputs/00093.png\nSaved ./outputs/00094.png\nSaved ./outputs/00095.png\nSaved ./outputs/00096.png\nSaved ./outputs/00097.png\nSaved ./outputs/00098.png\nSaved ./outputs/00099.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.82it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.16it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00100.png\nSaved ./outputs/00101.png\nSaved ./outputs/00102.png\nSaved ./outputs/00103.png\nSaved ./outputs/00104.png\nSaved ./outputs/00105.png\nSaved ./outputs/00106.png\nSaved ./outputs/00107.png\nSaved ./outputs/00108.png\nSaved ./outputs/00109.png\nSaved ./outputs/00110.png\nSaved ./outputs/00111.png\nSaved ./outputs/00112.png\nSaved ./outputs/00113.png\nSaved ./outputs/00114.png\nSaved ./outputs/00115.png\nSaved ./outputs/00116.png\nSaved ./outputs/00117.png\nSaved ./outputs/00118.png\nSaved ./outputs/00119.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.83it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00120.png\nSaved ./outputs/00121.png\nSaved ./outputs/00122.png\nSaved ./outputs/00123.png\nSaved ./outputs/00124.png\nSaved ./outputs/00125.png\nSaved ./outputs/00126.png\nSaved ./outputs/00127.png\nSaved ./outputs/00128.png\nSaved ./outputs/00129.png\nSaved ./outputs/00130.png\nSaved ./outputs/00131.png\nSaved ./outputs/00132.png\nSaved ./outputs/00133.png\nSaved ./outputs/00134.png\nSaved ./outputs/00135.png\nSaved ./outputs/00136.png\nSaved ./outputs/00137.png\nSaved ./outputs/00138.png\nSaved ./outputs/00139.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.77it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00140.png\nSaved ./outputs/00141.png\nSaved ./outputs/00142.png\nSaved ./outputs/00143.png\nSaved ./outputs/00144.png\nSaved ./outputs/00145.png\nSaved ./outputs/00146.png\nSaved ./outputs/00147.png\nSaved ./outputs/00148.png\nSaved ./outputs/00149.png\nSaved ./outputs/00150.png\nSaved ./outputs/00151.png\nSaved ./outputs/00152.png\nSaved ./outputs/00153.png\nSaved ./outputs/00154.png\nSaved ./outputs/00155.png\nSaved ./outputs/00156.png\nSaved ./outputs/00157.png\nSaved ./outputs/00158.png\nSaved ./outputs/00159.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.66it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.12it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.87it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.77it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00160.png\nSaved ./outputs/00161.png\nSaved ./outputs/00162.png\nSaved ./outputs/00163.png\nSaved ./outputs/00164.png\nSaved ./outputs/00165.png\nSaved ./outputs/00166.png\nSaved ./outputs/00167.png\nSaved ./outputs/00168.png\nSaved ./outputs/00169.png\nSaved ./outputs/00170.png\nSaved ./outputs/00171.png\nSaved ./outputs/00172.png\nSaved ./outputs/00173.png\nSaved ./outputs/00174.png\nSaved ./outputs/00175.png\nSaved ./outputs/00176.png\nSaved ./outputs/00177.png\nSaved ./outputs/00178.png\nSaved ./outputs/00179.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.95it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00180.png\nSaved ./outputs/00181.png\nSaved ./outputs/00182.png\nSaved ./outputs/00183.png\nSaved ./outputs/00184.png\nSaved ./outputs/00185.png\nSaved ./outputs/00186.png\nSaved ./outputs/00187.png\nSaved ./outputs/00188.png\nSaved ./outputs/00189.png\nSaved ./outputs/00190.png\nSaved ./outputs/00191.png\nSaved ./outputs/00192.png\nSaved ./outputs/00193.png\nSaved ./outputs/00194.png\nSaved ./outputs/00195.png\nSaved ./outputs/00196.png\nSaved ./outputs/00197.png\nSaved ./outputs/00198.png\nSaved ./outputs/00199.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.82it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00200.png\nSaved ./outputs/00201.png\nSaved ./outputs/00202.png\nSaved ./outputs/00203.png\nSaved ./outputs/00204.png\nSaved ./outputs/00205.png\nSaved ./outputs/00206.png\nSaved ./outputs/00207.png\nSaved ./outputs/00208.png\nSaved ./outputs/00209.png\nSaved ./outputs/00210.png\nSaved ./outputs/00211.png\nSaved ./outputs/00212.png\nSaved ./outputs/00213.png\nSaved ./outputs/00214.png\nSaved ./outputs/00215.png\nSaved ./outputs/00216.png\nSaved ./outputs/00217.png\nSaved ./outputs/00218.png\nSaved ./outputs/00219.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.88it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00220.png\nSaved ./outputs/00221.png\nSaved ./outputs/00222.png\nSaved ./outputs/00223.png\nSaved ./outputs/00224.png\nSaved ./outputs/00225.png\nSaved ./outputs/00226.png\nSaved ./outputs/00227.png\nSaved ./outputs/00228.png\nSaved ./outputs/00229.png\nSaved ./outputs/00230.png\nSaved ./outputs/00231.png\nSaved ./outputs/00232.png\nSaved ./outputs/00233.png\nSaved ./outputs/00234.png\nSaved ./outputs/00235.png\nSaved ./outputs/00236.png\nSaved ./outputs/00237.png\nSaved ./outputs/00238.png\nSaved ./outputs/00239.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.97it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.16it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00240.png\nSaved ./outputs/00241.png\nSaved ./outputs/00242.png\nSaved ./outputs/00243.png\nSaved ./outputs/00244.png\nSaved ./outputs/00245.png\nSaved ./outputs/00246.png\nSaved ./outputs/00247.png\nSaved ./outputs/00248.png\nSaved ./outputs/00249.png\nSaved ./outputs/00250.png\nSaved ./outputs/00251.png\nSaved ./outputs/00252.png\nSaved ./outputs/00253.png\nSaved ./outputs/00254.png\nSaved ./outputs/00255.png\nSaved ./outputs/00256.png\nSaved ./outputs/00257.png\nSaved ./outputs/00258.png\nSaved ./outputs/00259.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.88it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00260.png\nSaved ./outputs/00261.png\nSaved ./outputs/00262.png\nSaved ./outputs/00263.png\nSaved ./outputs/00264.png\nSaved ./outputs/00265.png\nSaved ./outputs/00266.png\nSaved ./outputs/00267.png\nSaved ./outputs/00268.png\nSaved ./outputs/00269.png\nSaved ./outputs/00270.png\nSaved ./outputs/00271.png\nSaved ./outputs/00272.png\nSaved ./outputs/00273.png\nSaved ./outputs/00274.png\nSaved ./outputs/00275.png\nSaved ./outputs/00276.png\nSaved ./outputs/00277.png\nSaved ./outputs/00278.png\nSaved ./outputs/00279.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.87it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00280.png\nSaved ./outputs/00281.png\nSaved ./outputs/00282.png\nSaved ./outputs/00283.png\nSaved ./outputs/00284.png\nSaved ./outputs/00285.png\nSaved ./outputs/00286.png\nSaved ./outputs/00287.png\nSaved ./outputs/00288.png\nSaved ./outputs/00289.png\nSaved ./outputs/00290.png\nSaved ./outputs/00291.png\nSaved ./outputs/00292.png\nSaved ./outputs/00293.png\nSaved ./outputs/00294.png\nSaved ./outputs/00295.png\nSaved ./outputs/00296.png\nSaved ./outputs/00297.png\nSaved ./outputs/00298.png\nSaved ./outputs/00299.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.17it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00300.png\nSaved ./outputs/00301.png\nSaved ./outputs/00302.png\nSaved ./outputs/00303.png\nSaved ./outputs/00304.png\nSaved ./outputs/00305.png\nSaved ./outputs/00306.png\nSaved ./outputs/00307.png\nSaved ./outputs/00308.png\nSaved ./outputs/00309.png\nSaved ./outputs/00310.png\nSaved ./outputs/00311.png\nSaved ./outputs/00312.png\nSaved ./outputs/00313.png\nSaved ./outputs/00314.png\nSaved ./outputs/00315.png\nSaved ./outputs/00316.png\nSaved ./outputs/00317.png\nSaved ./outputs/00318.png\nSaved ./outputs/00319.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.04it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.65it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00320.png\nSaved ./outputs/00321.png\nSaved ./outputs/00322.png\nSaved ./outputs/00323.png\nSaved ./outputs/00324.png\nSaved ./outputs/00325.png\nSaved ./outputs/00326.png\nSaved ./outputs/00327.png\nSaved ./outputs/00328.png\nSaved ./outputs/00329.png\nSaved ./outputs/00330.png\nSaved ./outputs/00331.png\nSaved ./outputs/00332.png\nSaved ./outputs/00333.png\nSaved ./outputs/00334.png\nSaved ./outputs/00335.png\nSaved ./outputs/00336.png\nSaved ./outputs/00337.png\nSaved ./outputs/00338.png\nSaved ./outputs/00339.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.73it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.77it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00340.png\nSaved ./outputs/00341.png\nSaved ./outputs/00342.png\nSaved ./outputs/00343.png\nSaved ./outputs/00344.png\nSaved ./outputs/00345.png\nSaved ./outputs/00346.png\nSaved ./outputs/00347.png\nSaved ./outputs/00348.png\nSaved ./outputs/00349.png\nSaved ./outputs/00350.png\nSaved ./outputs/00351.png\nSaved ./outputs/00352.png\nSaved ./outputs/00353.png\nSaved ./outputs/00354.png\nSaved ./outputs/00355.png\nSaved ./outputs/00356.png\nSaved ./outputs/00357.png\nSaved ./outputs/00358.png\nSaved ./outputs/00359.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.23it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.90it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.66it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00360.png\nSaved ./outputs/00361.png\nSaved ./outputs/00362.png\nSaved ./outputs/00363.png\nSaved ./outputs/00364.png\nSaved ./outputs/00365.png\nSaved ./outputs/00366.png\nSaved ./outputs/00367.png\nSaved ./outputs/00368.png\nSaved ./outputs/00369.png\nSaved ./outputs/00370.png\nSaved ./outputs/00371.png\nSaved ./outputs/00372.png\nSaved ./outputs/00373.png\nSaved ./outputs/00374.png\nSaved ./outputs/00375.png\nSaved ./outputs/00376.png\nSaved ./outputs/00377.png\nSaved ./outputs/00378.png\nSaved ./outputs/00379.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.22it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.90it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00380.png\nSaved ./outputs/00381.png\nSaved ./outputs/00382.png\nSaved ./outputs/00383.png\nSaved ./outputs/00384.png\nSaved ./outputs/00385.png\nSaved ./outputs/00386.png\nSaved ./outputs/00387.png\nSaved ./outputs/00388.png\nSaved ./outputs/00389.png\nSaved ./outputs/00390.png\nSaved ./outputs/00391.png\nSaved ./outputs/00392.png\nSaved ./outputs/00393.png\nSaved ./outputs/00394.png\nSaved ./outputs/00395.png\nSaved ./outputs/00396.png\nSaved ./outputs/00397.png\nSaved ./outputs/00398.png\nSaved ./outputs/00399.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.75it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.87it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00400.png\nSaved ./outputs/00401.png\nSaved ./outputs/00402.png\nSaved ./outputs/00403.png\nSaved ./outputs/00404.png\nSaved ./outputs/00405.png\nSaved ./outputs/00406.png\nSaved ./outputs/00407.png\nSaved ./outputs/00408.png\nSaved ./outputs/00409.png\nSaved ./outputs/00410.png\nSaved ./outputs/00411.png\nSaved ./outputs/00412.png\nSaved ./outputs/00413.png\nSaved ./outputs/00414.png\nSaved ./outputs/00415.png\nSaved ./outputs/00416.png\nSaved ./outputs/00417.png\nSaved ./outputs/00418.png\nSaved ./outputs/00419.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.10it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.17it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00420.png\nSaved ./outputs/00421.png\nSaved ./outputs/00422.png\nSaved ./outputs/00423.png\nSaved ./outputs/00424.png\nSaved ./outputs/00425.png\nSaved ./outputs/00426.png\nSaved ./outputs/00427.png\nSaved ./outputs/00428.png\nSaved ./outputs/00429.png\nSaved ./outputs/00430.png\nSaved ./outputs/00431.png\nSaved ./outputs/00432.png\nSaved ./outputs/00433.png\nSaved ./outputs/00434.png\nSaved ./outputs/00435.png\nSaved ./outputs/00436.png\nSaved ./outputs/00437.png\nSaved ./outputs/00438.png\nSaved ./outputs/00439.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.79it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.88it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00440.png\nSaved ./outputs/00441.png\nSaved ./outputs/00442.png\nSaved ./outputs/00443.png\nSaved ./outputs/00444.png\nSaved ./outputs/00445.png\nSaved ./outputs/00446.png\nSaved ./outputs/00447.png\nSaved ./outputs/00448.png\nSaved ./outputs/00449.png\nSaved ./outputs/00450.png\nSaved ./outputs/00451.png\nSaved ./outputs/00452.png\nSaved ./outputs/00453.png\nSaved ./outputs/00454.png\nSaved ./outputs/00455.png\nSaved ./outputs/00456.png\nSaved ./outputs/00457.png\nSaved ./outputs/00458.png\nSaved ./outputs/00459.png\ndata_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 4.18it/s]\n 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.89it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.70it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.71it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00460.png\nSaved ./outputs/00461.png\nSaved ./outputs/00462.png\nSaved ./outputs/00463.png\nSaved ./outputs/00464.png\nSaved ./outputs/00465.png\nSaved ./outputs/00466.png\nSaved ./outputs/00467.png\nSaved ./outputs/00468.png\nSaved ./outputs/00469.png\nSaved ./outputs/00470.png\nSaved ./outputs/00471.png\nSaved ./outputs/00472.png\nSaved ./outputs/00473.png\nSaved ./outputs/00474.png\nSaved ./outputs/00475.png\nSaved ./outputs/00476.png\nSaved ./outputs/00477.png\nSaved ./outputs/00478.png\nSaved ./outputs/00479.png\ndata_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:00<00:03, 3.89it/s]\n 13%|█▎ | 2/15 [00:00<00:06, 2.12it/s]\n 20%|██ | 3/15 [00:01<00:06, 1.86it/s]\n 27%|██▋ | 4/15 [00:02<00:06, 1.77it/s]\n 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s]\n 40%|████ | 6/15 [00:03<00:05, 1.69it/s]\n 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s]\n 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s]\n 60%|██████ | 9/15 [00:05<00:03, 1.65it/s]\n 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s]\n 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s]\n 80%|████████ | 12/15 [00:06<00:01, 1.64it/s]\n 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s]\n 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.64it/s]\n100%|██████████| 15/15 [00:08<00:00, 1.70it/s]\nsamples_ddim torch.Size([20, 4, 64, 64])\nSaved ./outputs/00480.png\nSaved ./outputs/00481.png\nSaved ./outputs/00482.png\nSaved ./outputs/00483.png\nSaved ./outputs/00484.png\nSaved ./outputs/00485.png\nSaved ./outputs/00486.png\nSaved ./outputs/00487.png\nSaved ./outputs/00488.png\nSaved ./outputs/00489.png\nSaved ./outputs/00490.png\nSaved ./outputs/00491.png\nSaved ./outputs/00492.png\nSaved ./outputs/00493.png\nSaved ./outputs/00494.png\nSaved ./outputs/00495.png\nSaved ./outputs/00496.png\nSaved ./outputs/00497.png\nSaved ./outputs/00498.png\nSaved ./outputs/00499.png\ndata_batch torch.Size([4, 77, 768]) start_code_batch torch.Size([5, 4, 64, 64])\nsigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157,\n1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000],\ndevice='cuda:0')\n 0%| | 0/15 [00:00<?, ?it/s]\n0%| | 0/15 [00:00<?, ?it/s]\ndiffuse failed. returning empty list.\nYour samples have been saved to:\n./outputs\nEnjoy.\ntotal 287264\n-rw-r--r-- 1 root root 577436 Feb 2 23:29 00000.png\n-rw-r--r-- 1 root root 577644 Feb 2 23:29 00001.png\n-rw-r--r-- 1 root root 577436 Feb 2 23:29 00002.png\n-rw-r--r-- 1 root root 577691 Feb 2 23:29 00003.png\n-rw-r--r-- 1 root root 577701 Feb 2 23:29 00004.png\n-rw-r--r-- 1 root root 577804 Feb 2 23:29 00005.png\n-rw-r--r-- 1 root root 577680 Feb 2 23:29 00006.png\n-rw-r--r-- 1 root root 578770 Feb 2 23:29 00007.png\n-rw-r--r-- 1 root root 578478 Feb 2 23:29 00008.png\n-rw-r--r-- 1 root root 577804 Feb 2 23:29 00009.png\n-rw-r--r-- 1 root root 577701 Feb 2 23:29 00010.png\n-rw-r--r-- 1 root root 577436 Feb 2 23:29 00011.png\n-rw-r--r-- 1 root root 577436 Feb 2 23:29 00012.png\n-rw-r--r-- 1 root root 577711 Feb 2 23:29 00013.png\n-rw-r--r-- 1 root root 578749 Feb 2 23:29 00014.png\n-rw-r--r-- 1 root root 579667 Feb 2 23:29 00015.png\n-rw-r--r-- 1 root root 579170 Feb 2 23:29 00016.png\n-rw-r--r-- 1 root root 578968 Feb 2 23:29 00017.png\n-rw-r--r-- 1 root root 578447 Feb 2 23:29 00018.png\n-rw-r--r-- 1 root root 578839 Feb 2 23:29 00019.png\n-rw-r--r-- 1 root root 578532 Feb 2 23:29 00020.png\n-rw-r--r-- 1 root root 577272 Feb 2 23:29 00021.png\n-rw-r--r-- 1 root root 577011 Feb 2 23:29 00022.png\n-rw-r--r-- 1 root root 578600 Feb 2 23:29 00023.png\n-rw-r--r-- 1 root root 578753 Feb 2 23:29 00024.png\n-rw-r--r-- 1 root root 578255 Feb 2 23:29 00025.png\n-rw-r--r-- 1 root root 577990 Feb 2 23:29 00026.png\n-rw-r--r-- 1 root root 578141 Feb 2 23:29 00027.png\n-rw-r--r-- 1 root root 577959 Feb 2 23:29 00028.png\n-rw-r--r-- 1 root root 578124 Feb 2 23:29 00029.png\n-rw-r--r-- 1 root root 578141 Feb 2 23:29 00030.png\n-rw-r--r-- 1 root root 578124 Feb 2 23:29 00031.png\n-rw-r--r-- 1 root root 578299 Feb 2 23:29 00032.png\n-rw-r--r-- 1 root root 579476 Feb 2 23:29 00033.png\n-rw-r--r-- 1 root root 581120 Feb 2 23:29 00034.png\n-rw-r--r-- 1 root root 580467 Feb 2 23:29 00035.png\n-rw-r--r-- 1 root root 580710 Feb 2 23:29 00036.png\n-rw-r--r-- 1 root root 581052 Feb 2 23:29 00037.png\n-rw-r--r-- 1 root root 581400 Feb 2 23:29 00038.png\n-rw-r--r-- 1 root root 580865 Feb 2 23:29 00039.png\n-rw-r--r-- 1 root root 581038 Feb 2 23:29 00040.png\n-rw-r--r-- 1 root root 582948 Feb 2 23:29 00041.png\n-rw-r--r-- 1 root root 582724 Feb 2 23:29 00042.png\n-rw-r--r-- 1 root root 581628 Feb 2 23:29 00043.png\n-rw-r--r-- 1 root root 580369 Feb 2 23:29 00044.png\n-rw-r--r-- 1 root root 580242 Feb 2 23:29 00045.png\n-rw-r--r-- 1 root root 579144 Feb 2 23:29 00046.png\n-rw-r--r-- 1 root root 579572 Feb 2 23:29 00047.png\n-rw-r--r-- 1 root root 579377 Feb 2 23:29 00048.png\n-rw-r--r-- 1 root root 579479 Feb 2 23:29 00049.png\n-rw-r--r-- 1 root root 580869 Feb 2 23:29 00050.png\n-rw-r--r-- 1 root root 580717 Feb 2 23:29 00051.png\n-rw-r--r-- 1 root root 583075 Feb 2 23:29 00052.png\n-rw-r--r-- 1 root root 582423 Feb 2 23:29 00053.png\n-rw-r--r-- 1 root root 582986 Feb 2 23:29 00054.png\n-rw-r--r-- 1 root root 581450 Feb 2 23:29 00055.png\n-rw-r--r-- 1 root root 582099 Feb 2 23:29 00056.png\n-rw-r--r-- 1 root root 582599 Feb 2 23:29 00057.png\n-rw-r--r-- 1 root root 582793 Feb 2 23:29 00058.png\n-rw-r--r-- 1 root root 581920 Feb 2 23:29 00059.png\n-rw-r--r-- 1 root root 581749 Feb 2 23:30 00060.png\n-rw-r--r-- 1 root root 580984 Feb 2 23:30 00061.png\n-rw-r--r-- 1 root root 580846 Feb 2 23:30 00062.png\n-rw-r--r-- 1 root root 580925 Feb 2 23:30 00063.png\n-rw-r--r-- 1 root root 580589 Feb 2 23:30 00064.png\n-rw-r--r-- 1 root root 580689 Feb 2 23:30 00065.png\n-rw-r--r-- 1 root root 581030 Feb 2 23:30 00066.png\n-rw-r--r-- 1 root root 581146 Feb 2 23:30 00067.png\n-rw-r--r-- 1 root root 580803 Feb 2 23:30 00068.png\n-rw-r--r-- 1 root root 580995 Feb 2 23:30 00069.png\n-rw-r--r-- 1 root root 580775 Feb 2 23:30 00070.png\n-rw-r--r-- 1 root root 580938 Feb 2 23:30 00071.png\n-rw-r--r-- 1 root root 580648 Feb 2 23:30 00072.png\n-rw-r--r-- 1 root root 581015 Feb 2 23:30 00073.png\n-rw-r--r-- 1 root root 581103 Feb 2 23:30 00074.png\n-rw-r--r-- 1 root root 580796 Feb 2 23:30 00075.png\n-rw-r--r-- 1 root root 580772 Feb 2 23:30 00076.png\n-rw-r--r-- 1 root root 581299 Feb 2 23:30 00077.png\n-rw-r--r-- 1 root root 581699 Feb 2 23:30 00078.png\n-rw-r--r-- 1 root root 582034 Feb 2 23:30 00079.png\n-rw-r--r-- 1 root root 581822 Feb 2 23:30 00080.png\n-rw-r--r-- 1 root root 582224 Feb 2 23:30 00081.png\n-rw-r--r-- 1 root root 582443 Feb 2 23:30 00082.png\n-rw-r--r-- 1 root root 582485 Feb 2 23:30 00083.png\n-rw-r--r-- 1 root root 581102 Feb 2 23:30 00084.png\n-rw-r--r-- 1 root root 582661 Feb 2 23:30 00085.png\n-rw-r--r-- 1 root root 582836 Feb 2 23:30 00086.png\n-rw-r--r-- 1 root root 580980 Feb 2 23:30 00087.png\n-rw-r--r-- 1 root root 578875 Feb 2 23:30 00088.png\n-rw-r--r-- 1 root root 580834 Feb 2 23:30 00089.png\n-rw-r--r-- 1 root root 582483 Feb 2 23:30 00090.png\n-rw-r--r-- 1 root root 582231 Feb 2 23:30 00091.png\n-rw-r--r-- 1 root root 581680 Feb 2 23:30 00092.png\n-rw-r--r-- 1 root root 585567 Feb 2 23:30 00093.png\n-rw-r--r-- 1 root root 586425 Feb 2 23:30 00094.png\n-rw-r--r-- 1 root root 588343 Feb 2 23:30 00095.png\n-rw-r--r-- 1 root root 589065 Feb 2 23:30 00096.png\n-rw-r--r-- 1 root root 589275 Feb 2 23:30 00097.png\n-rw-r--r-- 1 root root 590966 Feb 2 23:30 00098.png\n-rw-r--r-- 1 root root 588250 Feb 2 23:30 00099.png\n-rw-r--r-- 1 root root 586466 Feb 2 23:30 00100.png\n-rw-r--r-- 1 root root 583076 Feb 2 23:30 00101.png\n-rw-r--r-- 1 root root 582930 Feb 2 23:30 00102.png\n-rw-r--r-- 1 root root 582780 Feb 2 23:30 00103.png\n-rw-r--r-- 1 root root 582296 Feb 2 23:30 00104.png\n-rw-r--r-- 1 root root 579682 Feb 2 23:30 00105.png\n-rw-r--r-- 1 root root 579425 Feb 2 23:30 00106.png\n-rw-r--r-- 1 root root 578562 Feb 2 23:30 00107.png\n-rw-r--r-- 1 root root 580772 Feb 2 23:30 00108.png\n-rw-r--r-- 1 root root 583262 Feb 2 23:30 00109.png\n-rw-r--r-- 1 root root 582361 Feb 2 23:30 00110.png\n-rw-r--r-- 1 root root 583184 Feb 2 23:30 00111.png\n-rw-r--r-- 1 root root 583409 Feb 2 23:30 00112.png\n-rw-r--r-- 1 root root 582967 Feb 2 23:30 00113.png\n-rw-r--r-- 1 root root 583154 Feb 2 23:30 00114.png\n-rw-r--r-- 1 root root 582420 Feb 2 23:30 00115.png\n-rw-r--r-- 1 root root 582940 Feb 2 23:30 00116.png\n-rw-r--r-- 1 root root 582555 Feb 2 23:30 00117.png\n-rw-r--r-- 1 root root 583175 Feb 2 23:30 00118.png\n-rw-r--r-- 1 root root 583185 Feb 2 23:30 00119.png\n-rw-r--r-- 1 root root 580842 Feb 2 23:30 00120.png\n-rw-r--r-- 1 root root 580529 Feb 2 23:30 00121.png\n-rw-r--r-- 1 root root 579045 Feb 2 23:30 00122.png\n-rw-r--r-- 1 root root 579799 Feb 2 23:30 00123.png\n-rw-r--r-- 1 root root 580484 Feb 2 23:30 00124.png\n-rw-r--r-- 1 root root 581999 Feb 2 23:30 00125.png\n-rw-r--r-- 1 root root 582034 Feb 2 23:30 00126.png\n-rw-r--r-- 1 root root 577302 Feb 2 23:30 00127.png\n-rw-r--r-- 1 root root 578229 Feb 2 23:30 00128.png\n-rw-r--r-- 1 root root 579475 Feb 2 23:30 00129.png\n-rw-r--r-- 1 root root 579087 Feb 2 23:30 00130.png\n-rw-r--r-- 1 root root 571864 Feb 2 23:30 00131.png\n-rw-r--r-- 1 root root 572384 Feb 2 23:30 00132.png\n-rw-r--r-- 1 root root 572589 Feb 2 23:30 00133.png\n-rw-r--r-- 1 root root 579621 Feb 2 23:30 00134.png\n-rw-r--r-- 1 root root 578225 Feb 2 23:30 00135.png\n-rw-r--r-- 1 root root 576790 Feb 2 23:30 00136.png\n-rw-r--r-- 1 root root 571278 Feb 2 23:30 00137.png\n-rw-r--r-- 1 root root 566027 Feb 2 23:30 00138.png\n-rw-r--r-- 1 root root 560436 Feb 2 23:30 00139.png\n-rw-r--r-- 1 root root 554269 Feb 2 23:30 00140.png\n-rw-r--r-- 1 root root 553001 Feb 2 23:30 00141.png\n-rw-r--r-- 1 root root 552334 Feb 2 23:30 00142.png\n-rw-r--r-- 1 root root 551603 Feb 2 23:30 00143.png\n-rw-r--r-- 1 root root 551293 Feb 2 23:30 00144.png\n-rw-r--r-- 1 root root 551860 Feb 2 23:30 00145.png\n-rw-r--r-- 1 root root 551132 Feb 2 23:30 00146.png\n-rw-r--r-- 1 root root 550431 Feb 2 23:30 00147.png\n-rw-r--r-- 1 root root 550816 Feb 2 23:30 00148.png\n-rw-r--r-- 1 root root 552068 Feb 2 23:30 00149.png\n-rw-r--r-- 1 root root 552236 Feb 2 23:30 00150.png\n-rw-r--r-- 1 root root 552112 Feb 2 23:30 00151.png\n-rw-r--r-- 1 root root 553407 Feb 2 23:30 00152.png\n-rw-r--r-- 1 root root 552926 Feb 2 23:30 00153.png\n-rw-r--r-- 1 root root 553416 Feb 2 23:30 00154.png\n-rw-r--r-- 1 root root 554084 Feb 2 23:30 00155.png\n-rw-r--r-- 1 root root 554567 Feb 2 23:30 00156.png\n-rw-r--r-- 1 root root 554534 Feb 2 23:30 00157.png\n-rw-r--r-- 1 root root 554835 Feb 2 23:30 00158.png\n-rw-r--r-- 1 root root 553150 Feb 2 23:30 00159.png\n-rw-r--r-- 1 root root 553859 Feb 2 23:31 00160.png\n-rw-r--r-- 1 root root 553940 Feb 2 23:31 00161.png\n-rw-r--r-- 1 root root 555986 Feb 2 23:31 00162.png\n-rw-r--r-- 1 root root 556483 Feb 2 23:31 00163.png\n-rw-r--r-- 1 root root 557636 Feb 2 23:31 00164.png\n-rw-r--r-- 1 root root 558028 Feb 2 23:31 00165.png\n-rw-r--r-- 1 root root 558049 Feb 2 23:31 00166.png\n-rw-r--r-- 1 root root 558512 Feb 2 23:31 00167.png\n-rw-r--r-- 1 root root 559561 Feb 2 23:31 00168.png\n-rw-r--r-- 1 root root 560747 Feb 2 23:31 00169.png\n-rw-r--r-- 1 root root 561903 Feb 2 23:31 00170.png\n-rw-r--r-- 1 root root 563148 Feb 2 23:31 00171.png\n-rw-r--r-- 1 root root 563579 Feb 2 23:31 00172.png\n-rw-r--r-- 1 root root 563658 Feb 2 23:31 00173.png\n-rw-r--r-- 1 root root 565013 Feb 2 23:31 00174.png\n-rw-r--r-- 1 root root 565678 Feb 2 23:31 00175.png\n-rw-r--r-- 1 root root 566316 Feb 2 23:31 00176.png\n-rw-r--r-- 1 root root 566826 Feb 2 23:31 00177.png\n-rw-r--r-- 1 root root 567428 Feb 2 23:31 00178.png\n-rw-r--r-- 1 root root 568004 Feb 2 23:31 00179.png\n-rw-r--r-- 1 root root 568856 Feb 2 23:31 00180.png\n-rw-r--r-- 1 root root 569671 Feb 2 23:31 00181.png\n-rw-r--r-- 1 root root 569942 Feb 2 23:31 00182.png\n-rw-r--r-- 1 root root 570537 Feb 2 23:31 00183.png\n-rw-r--r-- 1 root root 570894 Feb 2 23:31 00184.png\n-rw-r--r-- 1 root root 571633 Feb 2 23:31 00185.png\n-rw-r--r-- 1 root root 572170 Feb 2 23:31 00186.png\n-rw-r--r-- 1 root root 572084 Feb 2 23:31 00187.png\n-rw-r--r-- 1 root root 572483 Feb 2 23:31 00188.png\n-rw-r--r-- 1 root root 572468 Feb 2 23:31 00189.png\n-rw-r--r-- 1 root root 572669 Feb 2 23:31 00190.png\n-rw-r--r-- 1 root root 573618 Feb 2 23:31 00191.png\n-rw-r--r-- 1 root root 573565 Feb 2 23:31 00192.png\n-rw-r--r-- 1 root root 573546 Feb 2 23:31 00193.png\n-rw-r--r-- 1 root root 574176 Feb 2 23:31 00194.png\n-rw-r--r-- 1 root root 574470 Feb 2 23:31 00195.png\n-rw-r--r-- 1 root root 573289 Feb 2 23:31 00196.png\n-rw-r--r-- 1 root root 573638 Feb 2 23:31 00197.png\n-rw-r--r-- 1 root root 573483 Feb 2 23:31 00198.png\n-rw-r--r-- 1 root root 572837 Feb 2 23:31 00199.png\n-rw-r--r-- 1 root root 573428 Feb 2 23:31 00200.png\n-rw-r--r-- 1 root root 575426 Feb 2 23:31 00201.png\n-rw-r--r-- 1 root root 574527 Feb 2 23:31 00202.png\n-rw-r--r-- 1 root root 574942 Feb 2 23:31 00203.png\n-rw-r--r-- 1 root root 574845 Feb 2 23:31 00204.png\n-rw-r--r-- 1 root root 574736 Feb 2 23:31 00205.png\n-rw-r--r-- 1 root root 574917 Feb 2 23:31 00206.png\n-rw-r--r-- 1 root root 575643 Feb 2 23:31 00207.png\n-rw-r--r-- 1 root root 575304 Feb 2 23:31 00208.png\n-rw-r--r-- 1 root root 575475 Feb 2 23:31 00209.png\n-rw-r--r-- 1 root root 575913 Feb 2 23:31 00210.png\n-rw-r--r-- 1 root root 576136 Feb 2 23:31 00211.png\n-rw-r--r-- 1 root root 576005 Feb 2 23:31 00212.png\n-rw-r--r-- 1 root root 575977 Feb 2 23:31 00213.png\n-rw-r--r-- 1 root root 575397 Feb 2 23:31 00214.png\n-rw-r--r-- 1 root root 576416 Feb 2 23:31 00215.png\n-rw-r--r-- 1 root root 576411 Feb 2 23:31 00216.png\n-rw-r--r-- 1 root root 576354 Feb 2 23:31 00217.png\n-rw-r--r-- 1 root root 576660 Feb 2 23:31 00218.png\n-rw-r--r-- 1 root root 576215 Feb 2 23:31 00219.png\n-rw-r--r-- 1 root root 576236 Feb 2 23:31 00220.png\n-rw-r--r-- 1 root root 576548 Feb 2 23:31 00221.png\n-rw-r--r-- 1 root root 576884 Feb 2 23:31 00222.png\n-rw-r--r-- 1 root root 576205 Feb 2 23:31 00223.png\n-rw-r--r-- 1 root root 576370 Feb 2 23:31 00224.png\n-rw-r--r-- 1 root root 576862 Feb 2 23:31 00225.png\n-rw-r--r-- 1 root root 576553 Feb 2 23:31 00226.png\n-rw-r--r-- 1 root root 576868 Feb 2 23:31 00227.png\n-rw-r--r-- 1 root root 577099 Feb 2 23:31 00228.png\n-rw-r--r-- 1 root root 576888 Feb 2 23:31 00229.png\n-rw-r--r-- 1 root root 576403 Feb 2 23:31 00230.png\n-rw-r--r-- 1 root root 577185 Feb 2 23:31 00231.png\n-rw-r--r-- 1 root root 577220 Feb 2 23:31 00232.png\n-rw-r--r-- 1 root root 577227 Feb 2 23:31 00233.png\n-rw-r--r-- 1 root root 576746 Feb 2 23:31 00234.png\n-rw-r--r-- 1 root root 577589 Feb 2 23:31 00235.png\n-rw-r--r-- 1 root root 577343 Feb 2 23:31 00236.png\n-rw-r--r-- 1 root root 577176 Feb 2 23:31 00237.png\n-rw-r--r-- 1 root root 577073 Feb 2 23:31 00238.png\n-rw-r--r-- 1 root root 577253 Feb 2 23:31 00239.png\n-rw-r--r-- 1 root root 577176 Feb 2 23:31 00240.png\n-rw-r--r-- 1 root root 577502 Feb 2 23:31 00241.png\n-rw-r--r-- 1 root root 577231 Feb 2 23:31 00242.png\n-rw-r--r-- 1 root root 577239 Feb 2 23:31 00243.png\n-rw-r--r-- 1 root root 577395 Feb 2 23:31 00244.png\n-rw-r--r-- 1 root root 577475 Feb 2 23:31 00245.png\n-rw-r--r-- 1 root root 577245 Feb 2 23:31 00246.png\n-rw-r--r-- 1 root root 577432 Feb 2 23:31 00247.png\n-rw-r--r-- 1 root root 577833 Feb 2 23:31 00248.png\n-rw-r--r-- 1 root root 577570 Feb 2 23:31 00249.png\n-rw-r--r-- 1 root root 577518 Feb 2 23:31 00250.png\n-rw-r--r-- 1 root root 578078 Feb 2 23:31 00251.png\n-rw-r--r-- 1 root root 578416 Feb 2 23:31 00252.png\n-rw-r--r-- 1 root root 565449 Feb 2 23:31 00253.png\n-rw-r--r-- 1 root root 557960 Feb 2 23:31 00254.png\n-rw-r--r-- 1 root root 551059 Feb 2 23:31 00255.png\n-rw-r--r-- 1 root root 547989 Feb 2 23:31 00256.png\n-rw-r--r-- 1 root root 544256 Feb 2 23:31 00257.png\n-rw-r--r-- 1 root root 542871 Feb 2 23:31 00258.png\n-rw-r--r-- 1 root root 545402 Feb 2 23:31 00259.png\n-rw-r--r-- 1 root root 546649 Feb 2 23:32 00260.png\n-rw-r--r-- 1 root root 549493 Feb 2 23:32 00261.png\n-rw-r--r-- 1 root root 551599 Feb 2 23:32 00262.png\n-rw-r--r-- 1 root root 554921 Feb 2 23:32 00263.png\n-rw-r--r-- 1 root root 559236 Feb 2 23:32 00264.png\n-rw-r--r-- 1 root root 561155 Feb 2 23:32 00265.png\n-rw-r--r-- 1 root root 562267 Feb 2 23:32 00266.png\n-rw-r--r-- 1 root root 562690 Feb 2 23:32 00267.png\n-rw-r--r-- 1 root root 563750 Feb 2 23:32 00268.png\n-rw-r--r-- 1 root root 563941 Feb 2 23:32 00269.png\n-rw-r--r-- 1 root root 564385 Feb 2 23:32 00270.png\n-rw-r--r-- 1 root root 566873 Feb 2 23:32 00271.png\n-rw-r--r-- 1 root root 566853 Feb 2 23:32 00272.png\n-rw-r--r-- 1 root root 566503 Feb 2 23:32 00273.png\n-rw-r--r-- 1 root root 566640 Feb 2 23:32 00274.png\n-rw-r--r-- 1 root root 567440 Feb 2 23:32 00275.png\n-rw-r--r-- 1 root root 567217 Feb 2 23:32 00276.png\n-rw-r--r-- 1 root root 567284 Feb 2 23:32 00277.png\n-rw-r--r-- 1 root root 567890 Feb 2 23:32 00278.png\n-rw-r--r-- 1 root root 564956 Feb 2 23:32 00279.png\n-rw-r--r-- 1 root root 564057 Feb 2 23:32 00280.png\n-rw-r--r-- 1 root root 562197 Feb 2 23:32 00281.png\n-rw-r--r-- 1 root root 561259 Feb 2 23:32 00282.png\n-rw-r--r-- 1 root root 563226 Feb 2 23:32 00283.png\n-rw-r--r-- 1 root root 565655 Feb 2 23:32 00284.png\n-rw-r--r-- 1 root root 567688 Feb 2 23:32 00285.png\n-rw-r--r-- 1 root root 568852 Feb 2 23:32 00286.png\n-rw-r--r-- 1 root root 570183 Feb 2 23:32 00287.png\n-rw-r--r-- 1 root root 569860 Feb 2 23:32 00288.png\n-rw-r--r-- 1 root root 572013 Feb 2 23:32 00289.png\n-rw-r--r-- 1 root root 572790 Feb 2 23:32 00290.png\n-rw-r--r-- 1 root root 573729 Feb 2 23:32 00291.png\n-rw-r--r-- 1 root root 575031 Feb 2 23:32 00292.png\n-rw-r--r-- 1 root root 574613 Feb 2 23:32 00293.png\n-rw-r--r-- 1 root root 577212 Feb 2 23:32 00294.png\n-rw-r--r-- 1 root root 580328 Feb 2 23:32 00295.png\n-rw-r--r-- 1 root root 579337 Feb 2 23:32 00296.png\n-rw-r--r-- 1 root root 578615 Feb 2 23:32 00297.png\n-rw-r--r-- 1 root root 578674 Feb 2 23:32 00298.png\n-rw-r--r-- 1 root root 579586 Feb 2 23:32 00299.png\n-rw-r--r-- 1 root root 581842 Feb 2 23:32 00300.png\n-rw-r--r-- 1 root root 583713 Feb 2 23:32 00301.png\n-rw-r--r-- 1 root root 584719 Feb 2 23:32 00302.png\n-rw-r--r-- 1 root root 584737 Feb 2 23:32 00303.png\n-rw-r--r-- 1 root root 584998 Feb 2 23:32 00304.png\n-rw-r--r-- 1 root root 584910 Feb 2 23:32 00305.png\n-rw-r--r-- 1 root root 585402 Feb 2 23:32 00306.png\n-rw-r--r-- 1 root root 586436 Feb 2 23:32 00307.png\n-rw-r--r-- 1 root root 583548 Feb 2 23:32 00308.png\n-rw-r--r-- 1 root root 585504 Feb 2 23:32 00309.png\n-rw-r--r-- 1 root root 584671 Feb 2 23:32 00310.png\n-rw-r--r-- 1 root root 584393 Feb 2 23:32 00311.png\n-rw-r--r-- 1 root root 582613 Feb 2 23:32 00312.png\n-rw-r--r-- 1 root root 585212 Feb 2 23:32 00313.png\n-rw-r--r-- 1 root root 585828 Feb 2 23:32 00314.png\n-rw-r--r-- 1 root root 582371 Feb 2 23:32 00315.png\n-rw-r--r-- 1 root root 585624 Feb 2 23:32 00316.png\n-rw-r--r-- 1 root root 582902 Feb 2 23:32 00317.png\n-rw-r--r-- 1 root root 582260 Feb 2 23:32 00318.png\n-rw-r--r-- 1 root root 581501 Feb 2 23:32 00319.png\n-rw-r--r-- 1 root root 579367 Feb 2 23:32 00320.png\n-rw-r--r-- 1 root root 581160 Feb 2 23:32 00321.png\n-rw-r--r-- 1 root root 577669 Feb 2 23:32 00322.png\n-rw-r--r-- 1 root root 578698 Feb 2 23:32 00323.png\n-rw-r--r-- 1 root root 578428 Feb 2 23:32 00324.png\n-rw-r--r-- 1 root root 578721 Feb 2 23:32 00325.png\n-rw-r--r-- 1 root root 578814 Feb 2 23:32 00326.png\n-rw-r--r-- 1 root root 579110 Feb 2 23:32 00327.png\n-rw-r--r-- 1 root root 582041 Feb 2 23:32 00328.png\n-rw-r--r-- 1 root root 579033 Feb 2 23:32 00329.png\n-rw-r--r-- 1 root root 579903 Feb 2 23:32 00330.png\n-rw-r--r-- 1 root root 580021 Feb 2 23:32 00331.png\n-rw-r--r-- 1 root root 580496 Feb 2 23:32 00332.png\n-rw-r--r-- 1 root root 580275 Feb 2 23:32 00333.png\n-rw-r--r-- 1 root root 579995 Feb 2 23:32 00334.png\n-rw-r--r-- 1 root root 580238 Feb 2 23:32 00335.png\n-rw-r--r-- 1 root root 580995 Feb 2 23:32 00336.png\n-rw-r--r-- 1 root root 580799 Feb 2 23:32 00337.png\n-rw-r--r-- 1 root root 581200 Feb 2 23:32 00338.png\n-rw-r--r-- 1 root root 581649 Feb 2 23:32 00339.png\n-rw-r--r-- 1 root root 582183 Feb 2 23:32 00340.png\n-rw-r--r-- 1 root root 583626 Feb 2 23:32 00341.png\n-rw-r--r-- 1 root root 583811 Feb 2 23:32 00342.png\n-rw-r--r-- 1 root root 584330 Feb 2 23:32 00343.png\n-rw-r--r-- 1 root root 586181 Feb 2 23:32 00344.png\n-rw-r--r-- 1 root root 587350 Feb 2 23:32 00345.png\n-rw-r--r-- 1 root root 584059 Feb 2 23:32 00346.png\n-rw-r--r-- 1 root root 584659 Feb 2 23:32 00347.png\n-rw-r--r-- 1 root root 584306 Feb 2 23:32 00348.png\n-rw-r--r-- 1 root root 584812 Feb 2 23:32 00349.png\n-rw-r--r-- 1 root root 585341 Feb 2 23:32 00350.png\n-rw-r--r-- 1 root root 584877 Feb 2 23:32 00351.png\n-rw-r--r-- 1 root root 585693 Feb 2 23:32 00352.png\n-rw-r--r-- 1 root root 585294 Feb 2 23:32 00353.png\n-rw-r--r-- 1 root root 585131 Feb 2 23:32 00354.png\n-rw-r--r-- 1 root root 584682 Feb 2 23:32 00355.png\n-rw-r--r-- 1 root root 584825 Feb 2 23:32 00356.png\n-rw-r--r-- 1 root root 584723 Feb 2 23:32 00357.png\n-rw-r--r-- 1 root root 584545 Feb 2 23:32 00358.png\n-rw-r--r-- 1 root root 584509 Feb 2 23:32 00359.png\n-rw-r--r-- 1 root root 584395 Feb 2 23:33 00360.png\n-rw-r--r-- 1 root root 584281 Feb 2 23:33 00361.png\n-rw-r--r-- 1 root root 584094 Feb 2 23:33 00362.png\n-rw-r--r-- 1 root root 584543 Feb 2 23:33 00363.png\n-rw-r--r-- 1 root root 584972 Feb 2 23:33 00364.png\n-rw-r--r-- 1 root root 585724 Feb 2 23:33 00365.png\n-rw-r--r-- 1 root root 587330 Feb 2 23:33 00366.png\n-rw-r--r-- 1 root root 584598 Feb 2 23:33 00367.png\n-rw-r--r-- 1 root root 584062 Feb 2 23:33 00368.png\n-rw-r--r-- 1 root root 584221 Feb 2 23:33 00369.png\n-rw-r--r-- 1 root root 583682 Feb 2 23:33 00370.png\n-rw-r--r-- 1 root root 583754 Feb 2 23:33 00371.png\n-rw-r--r-- 1 root root 583320 Feb 2 23:33 00372.png\n-rw-r--r-- 1 root root 582249 Feb 2 23:33 00373.png\n-rw-r--r-- 1 root root 582030 Feb 2 23:33 00374.png\n-rw-r--r-- 1 root root 580114 Feb 2 23:33 00375.png\n-rw-r--r-- 1 root root 578948 Feb 2 23:33 00376.png\n-rw-r--r-- 1 root root 579604 Feb 2 23:33 00377.png\n-rw-r--r-- 1 root root 579975 Feb 2 23:33 00378.png\n-rw-r--r-- 1 root root 575505 Feb 2 23:33 00379.png\n-rw-r--r-- 1 root root 575529 Feb 2 23:33 00380.png\n-rw-r--r-- 1 root root 567098 Feb 2 23:33 00381.png\n-rw-r--r-- 1 root root 563017 Feb 2 23:33 00382.png\n-rw-r--r-- 1 root root 564154 Feb 2 23:33 00383.png\n-rw-r--r-- 1 root root 566163 Feb 2 23:33 00384.png\n-rw-r--r-- 1 root root 568635 Feb 2 23:33 00385.png\n-rw-r--r-- 1 root root 572308 Feb 2 23:33 00386.png\n-rw-r--r-- 1 root root 580724 Feb 2 23:33 00387.png\n-rw-r--r-- 1 root root 583229 Feb 2 23:33 00388.png\n-rw-r--r-- 1 root root 601528 Feb 2 23:33 00389.png\n-rw-r--r-- 1 root root 596949 Feb 2 23:33 00390.png\n-rw-r--r-- 1 root root 600123 Feb 2 23:33 00391.png\n-rw-r--r-- 1 root root 601006 Feb 2 23:33 00392.png\n-rw-r--r-- 1 root root 606135 Feb 2 23:33 00393.png\n-rw-r--r-- 1 root root 609044 Feb 2 23:33 00394.png\n-rw-r--r-- 1 root root 610558 Feb 2 23:33 00395.png\n-rw-r--r-- 1 root root 612036 Feb 2 23:33 00396.png\n-rw-r--r-- 1 root root 610808 Feb 2 23:33 00397.png\n-rw-r--r-- 1 root root 607497 Feb 2 23:33 00398.png\n-rw-r--r-- 1 root root 602517 Feb 2 23:33 00399.png\n-rw-r--r-- 1 root root 604463 Feb 2 23:33 00400.png\n-rw-r--r-- 1 root root 605734 Feb 2 23:33 00401.png\n-rw-r--r-- 1 root root 603601 Feb 2 23:33 00402.png\n-rw-r--r-- 1 root root 603019 Feb 2 23:33 00403.png\n-rw-r--r-- 1 root root 604810 Feb 2 23:33 00404.png\n-rw-r--r-- 1 root root 605637 Feb 2 23:33 00405.png\n-rw-r--r-- 1 root root 606099 Feb 2 23:33 00406.png\n-rw-r--r-- 1 root root 606812 Feb 2 23:33 00407.png\n-rw-r--r-- 1 root root 609387 Feb 2 23:33 00408.png\n-rw-r--r-- 1 root root 609353 Feb 2 23:33 00409.png\n-rw-r--r-- 1 root root 611562 Feb 2 23:33 00410.png\n-rw-r--r-- 1 root root 615522 Feb 2 23:33 00411.png\n-rw-r--r-- 1 root root 617092 Feb 2 23:33 00412.png\n-rw-r--r-- 1 root root 618261 Feb 2 23:33 00413.png\n-rw-r--r-- 1 root root 619671 Feb 2 23:33 00414.png\n-rw-r--r-- 1 root root 620492 Feb 2 23:33 00415.png\n-rw-r--r-- 1 root root 621945 Feb 2 23:33 00416.png\n-rw-r--r-- 1 root root 623344 Feb 2 23:33 00417.png\n-rw-r--r-- 1 root root 624928 Feb 2 23:33 00418.png\n-rw-r--r-- 1 root root 624171 Feb 2 23:33 00419.png\n-rw-r--r-- 1 root root 626545 Feb 2 23:33 00420.png\n-rw-r--r-- 1 root root 624643 Feb 2 23:33 00421.png\n-rw-r--r-- 1 root root 630395 Feb 2 23:33 00422.png\n-rw-r--r-- 1 root root 622722 Feb 2 23:33 00423.png\n-rw-r--r-- 1 root root 620727 Feb 2 23:33 00424.png\n-rw-r--r-- 1 root root 624627 Feb 2 23:33 00425.png\n-rw-r--r-- 1 root root 625768 Feb 2 23:33 00426.png\n-rw-r--r-- 1 root root 627105 Feb 2 23:33 00427.png\n-rw-r--r-- 1 root root 627144 Feb 2 23:33 00428.png\n-rw-r--r-- 1 root root 628893 Feb 2 23:33 00429.png\n-rw-r--r-- 1 root root 632565 Feb 2 23:33 00430.png\n-rw-r--r-- 1 root root 633833 Feb 2 23:33 00431.png\n-rw-r--r-- 1 root root 636022 Feb 2 23:33 00432.png\n-rw-r--r-- 1 root root 629537 Feb 2 23:33 00433.png\n-rw-r--r-- 1 root root 628166 Feb 2 23:33 00434.png\n-rw-r--r-- 1 root root 628241 Feb 2 23:33 00435.png\n-rw-r--r-- 1 root root 630182 Feb 2 23:33 00436.png\n-rw-r--r-- 1 root root 630023 Feb 2 23:33 00437.png\n-rw-r--r-- 1 root root 628492 Feb 2 23:33 00438.png\n-rw-r--r-- 1 root root 630982 Feb 2 23:33 00439.png\n-rw-r--r-- 1 root root 631687 Feb 2 23:33 00440.png\n-rw-r--r-- 1 root root 627716 Feb 2 23:33 00441.png\n-rw-r--r-- 1 root root 626869 Feb 2 23:33 00442.png\n-rw-r--r-- 1 root root 628364 Feb 2 23:33 00443.png\n-rw-r--r-- 1 root root 628817 Feb 2 23:33 00444.png\n-rw-r--r-- 1 root root 629917 Feb 2 23:33 00445.png\n-rw-r--r-- 1 root root 634361 Feb 2 23:33 00446.png\n-rw-r--r-- 1 root root 633148 Feb 2 23:33 00447.png\n-rw-r--r-- 1 root root 629847 Feb 2 23:33 00448.png\n-rw-r--r-- 1 root root 634532 Feb 2 23:33 00449.png\n-rw-r--r-- 1 root root 631263 Feb 2 23:33 00450.png\n-rw-r--r-- 1 root root 632030 Feb 2 23:33 00451.png\n-rw-r--r-- 1 root root 632401 Feb 2 23:33 00452.png\n-rw-r--r-- 1 root root 631546 Feb 2 23:33 00453.png\n-rw-r--r-- 1 root root 630970 Feb 2 23:33 00454.png\n-rw-r--r-- 1 root root 629561 Feb 2 23:33 00455.png\n-rw-r--r-- 1 root root 628234 Feb 2 23:33 00456.png\n-rw-r--r-- 1 root root 628233 Feb 2 23:33 00457.png\n-rw-r--r-- 1 root root 627269 Feb 2 23:33 00458.png\n-rw-r--r-- 1 root root 626383 Feb 2 23:33 00459.png\n-rw-r--r-- 1 root root 627239 Feb 2 23:33 00460.png\n-rw-r--r-- 1 root root 623336 Feb 2 23:33 00461.png\n-rw-r--r-- 1 root root 624070 Feb 2 23:33 00462.png\n-rw-r--r-- 1 root root 624609 Feb 2 23:33 00463.png\n-rw-r--r-- 1 root root 626396 Feb 2 23:33 00464.png\n-rw-r--r-- 1 root root 626453 Feb 2 23:33 00465.png\n-rw-r--r-- 1 root root 626788 Feb 2 23:33 00466.png\n-rw-r--r-- 1 root root 627678 Feb 2 23:33 00467.png\n-rw-r--r-- 1 root root 629396 Feb 2 23:33 00468.png\n-rw-r--r-- 1 root root 628988 Feb 2 23:33 00469.png\n-rw-r--r-- 1 root root 629721 Feb 2 23:34 00470.png\n-rw-r--r-- 1 root root 629727 Feb 2 23:34 00471.png\n-rw-r--r-- 1 root root 630420 Feb 2 23:34 00472.png\n-rw-r--r-- 1 root root 631081 Feb 2 23:34 00473.png\n-rw-r--r-- 1 root root 631629 Feb 2 23:34 00474.png\n-rw-r--r-- 1 root root 631133 Feb 2 23:34 00475.png\n-rw-r--r-- 1 root root 632502 Feb 2 23:34 00476.png\n-rw-r--r-- 1 root root 632323 Feb 2 23:34 00477.png\n-rw-r--r-- 1 root root 631916 Feb 2 23:34 00478.png\n-rw-r--r-- 1 root root 632414 Feb 2 23:34 00479.png\n-rw-r--r-- 1 root root 632463 Feb 2 23:34 00480.png\n-rw-r--r-- 1 root root 633504 Feb 2 23:34 00481.png\n-rw-r--r-- 1 root root 633196 Feb 2 23:34 00482.png\n-rw-r--r-- 1 root root 633980 Feb 2 23:34 00483.png\n-rw-r--r-- 1 root root 634317 Feb 2 23:34 00484.png\n-rw-r--r-- 1 root root 633583 Feb 2 23:34 00485.png\n-rw-r--r-- 1 root root 633021 Feb 2 23:34 00486.png\n-rw-r--r-- 1 root root 633383 Feb 2 23:34 00487.png\n-rw-r--r-- 1 root root 634554 Feb 2 23:34 00488.png\n-rw-r--r-- 1 root root 633971 Feb 2 23:34 00489.png\n-rw-r--r-- 1 root root 634399 Feb 2 23:34 00490.png\n-rw-r--r-- 1 root root 633414 Feb 2 23:34 00491.png\n-rw-r--r-- 1 root root 632832 Feb 2 23:34 00492.png\n-rw-r--r-- 1 root root 634478 Feb 2 23:34 00493.png\n-rw-r--r-- 1 root root 634856 Feb 2 23:34 00494.png\n-rw-r--r-- 1 root root 634283 Feb 2 23:34 00495.png\n-rw-r--r-- 1 root root 634470 Feb 2 23:34 00496.png\n-rw-r--r-- 1 root root 635124 Feb 2 23:34 00497.png\n-rw-r--r-- 1 root root 634219 Feb 2 23:34 00498.png\n-rw-r--r-- 1 root root 634359 Feb 2 23:34 00499.png\nThu Feb 2 23:34:12 2023\n+-----------------------------------------------------------------------------+\n| NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 |\n|-------------------------------+----------------------+----------------------+\n| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n| | | MIG M. |\n|===============================+======================+======================|\n| 0 NVIDIA A100-SXM... Off | 00000000:00:04.0 Off | 0 |\n| N/A 46C P0 192W / 350W | 37514MiB / 40960MiB | 3% Default |\n| | | Disabled |\n+-------------------------------+----------------------+----------------------+\n+-----------------------------------------------------------------------------+\n| Processes: |\n| GPU GI CI PID Type Process name GPU Memory |\n| ID ID Usage |\n|=============================================================================|\n| 0 N/A N/A 525553 C 37511MiB |\n+-----------------------------------------------------------------------------+\ntotal time 293.2892234325409\nffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\nbuilt with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\nconfiguration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\nlibavutil 56. 70.100 / 56. 70.100\nlibavcodec 58.134.100 / 58.134.100\nlibavformat 58. 76.100 / 58. 76.100\nlibavdevice 58. 13.100 / 58. 13.100\nlibavfilter 7.110.100 / 7.110.100\nlibswscale 5. 9.100 / 5. 9.100\nlibswresample 3. 9.100 / 3. 9.100\nlibpostproc 55. 9.100 / 55. 9.100\n[image2 @ 0x562d22c0b680] Pattern type 'glob_sequence' is deprecated: use pattern_type 'glob' instead\nInput #0, image2, from './outputs/%*.png':\nDuration: 00:00:20.00, start: 0.000000, bitrate: N/A\nStream #0:0: Video: png, rgb24(pc), 512x512, 25 fps, 25 tbr, 25 tbn, 25 tbc\nGuessed Channel Layout for Input Stream #1.0 : mono\nInput #1, aiff, from '/tmp/tmp2igpf6z5racingcar.aif':\nDuration: 00:00:31.52, start: 0.000000, bitrate: 1058 kb/s\nStream #1:0: Audio: pcm_s24be, 44100 Hz, mono, s32 (24 bit), 1058 kb/s\nStream mapping:\nStream #0:0 -> #0:0 (png (native) -> h264 (libx264))\nStream #1:0 -> #0:1 (pcm_s24be (native) -> aac (native))\nPress [q] to stop, [?] for help\n[image2 @ 0x562d22c0b680] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8)\n[libx264 @ 0x562d22c5af40] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x562d22c5af40] profile High, level 2.2, 4:2:0, 8-bit\n[libx264 @ 0x562d22c5af40] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=16 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\nOutput #0, mp4, to '/tmp/z_interpollation.mp4':\nMetadata:\nencoder : Lavf58.76.100\nStream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 512x512, q=2-31, 16 fps, 16384 tbn\nMetadata:\nencoder : Lavc58.134.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\nStream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp (24 bit), 69 kb/s\nMetadata:\nencoder : Lavc58.134.100 aac\nframe= 1 fps=0.0 q=0.0 size= 0kB time=00:00:00.00 bitrate=N/A speed= 0x\nframe= 86 fps=0.0 q=24.0 size= 256kB time=00:00:00.81 bitrate=2581.0kbits/s speed=1.49x\nframe= 127 fps=118 q=24.0 size= 1024kB time=00:00:03.37 bitrate=2485.6kbits/s speed=3.15x\nframe= 176 fps=108 q=24.0 size= 2048kB time=00:00:06.43 bitrate=2606.2kbits/s speed=3.96x\nframe= 210 fps= 98 q=24.0 size= 3072kB time=00:00:08.56 bitrate=2939.1kbits/s speed=4.01x\nframe= 271 fps= 99 q=24.0 size= 4096kB time=00:00:12.37 bitrate=2711.5kbits/s speed=4.52x\nframe= 338 fps=104 q=24.0 size= 4608kB time=00:00:16.56 bitrate=2279.2kbits/s speed=5.12x\nframe= 374 fps= 99 q=24.0 size= 5376kB time=00:00:18.81 bitrate=2341.0kbits/s speed=4.98x\nframe= 438 fps=102 q=24.0 size= 6400kB time=00:00:22.81 bitrate=2298.3kbits/s speed=5.32x\nframe= 469 fps= 98 q=24.0 size= 7424kB time=00:00:24.75 bitrate=2457.0kbits/s speed=5.16x\n[mp4 @ 0x562d22c59840] Starting second pass: moving the moov atom to the beginning of the file\nframe= 500 fps= 82 q=-1.0 Lsize= 10507kB time=00:00:31.23 bitrate=2756.0kbits/s speed=5.15x\nvideo:10236kB audio:251kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.188330%\n[libx264 @ 0x562d22c5af40] frame I:5 Avg QP:19.09 size:100921\n[libx264 @ 0x562d22c5af40] frame P:165 Avg QP:20.09 size: 37877\n[libx264 @ 0x562d22c5af40] frame B:330 Avg QP:24.71 size: 11292\n[libx264 @ 0x562d22c5af40] consecutive B-frames: 7.2% 10.4% 12.0% 70.4%\n[libx264 @ 0x562d22c5af40] mb I I16..4: 0.3% 61.3% 38.4%\n[libx264 @ 0x562d22c5af40] mb P I16..4: 0.0% 4.5% 2.0% P16..4: 56.5% 15.3% 14.2% 0.0% 0.0% skip: 7.5%\n[libx264 @ 0x562d22c5af40] mb B I16..4: 0.0% 0.5% 0.3% B16..8: 27.1% 5.8% 3.9% direct:16.1% skip:46.4% L0:39.7% L1:43.9% BI:16.4%\n[libx264 @ 0x562d22c5af40] 8x8 transform intra:64.9% inter:37.1%\n[libx264 @ 0x562d22c5af40] direct mvs spatial:97.3% temporal:2.7%\n[libx264 @ 0x562d22c5af40] coded y,uvDC,uvAC intra: 99.3% 94.1% 74.6% inter: 44.1% 35.8% 3.3%\n[libx264 @ 0x562d22c5af40] i16 v,h,dc,p: 53% 9% 16% 22%\n[libx264 @ 0x562d22c5af40] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 7% 14% 25% 9% 7% 7% 10% 8% 12%\n[libx264 @ 0x562d22c5af40] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 6% 9% 18% 11% 11% 10% 12% 10% 13%\n[libx264 @ 0x562d22c5af40] i8c dc,h,v,p: 31% 34% 15% 20%\n[libx264 @ 0x562d22c5af40] Weighted P-Frames: Y:18.2% UV:15.2%\n[libx264 @ 0x562d22c5af40] ref P L0: 58.3% 21.0% 11.4% 4.5% 3.7% 1.0% 0.1%\n[libx264 @ 0x562d22c5af40] ref B L0: 73.8% 18.0% 6.2% 2.1%\n[libx264 @ 0x562d22c5af40] ref B L1: 93.5% 6.5%\n[libx264 @ 0x562d22c5af40] kb/s:2683.02\n[aac @ 0x562d22c5c980] Qavg: 3889.227\nffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\nbuilt with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\nconfiguration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\nlibavutil 56. 70.100 / 56. 70.100\nlibavcodec 58.134.100 / 58.134.100\nlibavformat 58. 76.100 / 58. 76.100\nlibavdevice 58. 13.100 / 58. 13.100\nlibavfilter 7.110.100 / 7.110.100\nlibswscale 5. 9.100 / 5. 9.100\nlibswresample 3. 9.100 / 3. 9.100\nlibpostproc 55. 9.100 / 55. 9.100\nInput #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/z_interpollation.mp4':\nMetadata:\nmajor_brand : isom\nminor_version : 512\ncompatible_brands: isomiso2avc1mp41\nencoder : Lavf58.76.100\nDuration: 00:00:31.26, start: 0.000000, bitrate: 2753 kb/s\nStream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 512x512, 2683 kb/s, 16 fps, 16 tbr, 16384 tbn, 32 tbc (default)\nMetadata:\nhandler_name : VideoHandler\nvendor_id : [0][0][0][0]\nStream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 65 kb/s (default)\nMetadata:\nhandler_name : SoundHandler\nvendor_id : [0][0][0][0]\nStream mapping:\nStream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))\nStream #0:1 -> #0:1 (aac (native) -> aac (native))\nPress [q] to stop, [?] for help\n[libx264 @ 0x55ac13ddda80] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n[libx264 @ 0x55ac13ddda80] profile High, level 3.1, 4:2:0, 8-bit\n[libx264 @ 0x55ac13ddda80] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\nOutput #0, mp4, to '/tmp/z_interpollation_40fps.mp4':\nMetadata:\nmajor_brand : isom\nminor_version : 512\ncompatible_brands: isomiso2avc1mp41\nencoder : Lavf58.76.100\nStream #0:0(und): Video: h264 (avc1 / 0x31637661), yuv420p(progressive), 512x512, q=2-31, 40 fps, 10240 tbn (default)\nMetadata:\nhandler_name : VideoHandler\nvendor_id : [0][0][0][0]\nencoder : Lavc58.134.100 libx264\nSide data:\ncpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\nStream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 69 kb/s (default)\nMetadata:\nhandler_name : SoundHandler\nvendor_id : [0][0][0][0]\nencoder : Lavc58.134.100 aac\nframe= 3 fps=0.0 q=0.0 size= 0kB time=00:00:00.81 bitrate= 0.5kbits/s speed=13.5x\nframe= 8 fps=0.0 q=0.0 size= 0kB time=00:00:00.97 bitrate= 0.4kbits/s speed= 1.6x\nframe= 16 fps= 14 q=0.0 size= 0kB time=00:00:01.16 bitrate= 0.3kbits/s speed= 1x\nframe= 23 fps= 14 q=0.0 size= 0kB time=00:00:01.34 bitrate= 0.3kbits/s speed=0.791x\nframe= 31 fps= 14 q=0.0 size= 0kB time=00:00:01.53 bitrate= 0.3kbits/s speed=0.686x\nframe= 38 fps= 14 q=0.0 size= 0kB time=00:00:01.71 bitrate= 0.2kbits/s speed=0.619x\nframe= 46 fps= 14 q=0.0 size= 0kB time=00:00:01.90 bitrate= 0.2kbits/s speed=0.576x\nframe= 53 fps= 14 q=0.0 size= 0kB time=00:00:02.08 bitrate= 0.2kbits/s speed=0.543x\nframe= 61 fps= 14 q=30.0 size= 0kB time=00:00:02.27 bitrate= 0.2kbits/s speed=0.516x\nframe= 68 fps= 14 q=30.0 size= 0kB time=00:00:02.46 bitrate= 0.2kbits/s speed=0.497x\nframe= 76 fps= 14 q=30.0 size= 0kB time=00:00:02.64 bitrate= 0.1kbits/s speed=0.483x\nframe= 83 fps= 14 q=30.0 size= 0kB time=00:00:02.83 bitrate= 0.1kbits/s speed=0.471x\nframe= 91 fps= 14 q=30.0 size= 0kB time=00:00:03.01 bitrate= 0.1kbits/s speed=0.461x\nframe= 98 fps= 14 q=30.0 size= 0kB time=00:00:03.20 bitrate= 0.1kbits/s speed=0.452x\nframe= 106 fps= 14 q=30.0 size= 0kB time=00:00:03.41 bitrate= 0.1kbits/s speed=0.447x\nframe= 113 fps= 14 q=30.0 size= 0kB time=00:00:03.59 bitrate= 0.1kbits/s speed=0.439x\nframe= 121 fps= 14 q=30.0 size= 256kB time=00:00:03.78 bitrate= 554.2kbits/s speed=0.433x\nframe= 128 fps= 14 q=30.0 size= 256kB time=00:00:03.97 bitrate= 528.3kbits/s speed=0.428x\nframe= 136 fps= 14 q=30.0 size= 256kB time=00:00:04.15 bitrate= 504.7kbits/s speed=0.423x\nframe= 143 fps= 14 q=30.0 size= 256kB time=00:00:04.34 bitrate= 483.1kbits/s speed=0.419x\nframe= 151 fps= 14 q=30.0 size= 256kB time=00:00:04.52 bitrate= 463.2kbits/s speed=0.414x\nframe= 158 fps= 14 q=30.0 size= 256kB time=00:00:04.71 bitrate= 445.0kbits/s speed=0.411x\nframe= 166 fps= 14 q=30.0 size= 256kB time=00:00:04.89 bitrate= 428.1kbits/s speed=0.408x\nframe= 173 fps= 14 q=30.0 size= 512kB time=00:00:05.08 bitrate= 824.9kbits/s speed=0.405x\nframe= 181 fps= 14 q=30.0 size= 512kB time=00:00:05.27 bitrate= 795.8kbits/s speed=0.403x\nframe= 188 fps= 14 q=30.0 size= 512kB time=00:00:05.45 bitrate= 768.7kbits/s speed=0.401x\nframe= 196 fps= 14 q=30.0 size= 512kB time=00:00:05.64 bitrate= 743.4kbits/s speed=0.399x\nframe= 203 fps= 14 q=30.0 size= 768kB time=00:00:05.85 bitrate=1075.3kbits/s speed=0.398x\nframe= 211 fps= 14 q=30.0 size= 768kB time=00:00:06.03 bitrate=1042.2kbits/s speed=0.396x\nframe= 218 fps= 14 q=30.0 size= 768kB time=00:00:06.22 bitrate=1011.1kbits/s speed=0.394x\nframe= 226 fps= 14 q=30.0 size= 768kB time=00:00:06.40 bitrate= 981.8kbits/s speed=0.392x\nframe= 233 fps= 14 q=30.0 size= 768kB time=00:00:06.59 bitrate= 954.1kbits/s speed=0.39x\nframe= 241 fps= 14 q=30.0 size= 768kB time=00:00:06.78 bitrate= 928.0kbits/s speed=0.389x\nframe= 248 fps= 14 q=30.0 size= 768kB time=00:00:06.96 bitrate= 903.2kbits/s speed=0.388x\nframe= 256 fps= 14 q=30.0 size= 768kB time=00:00:07.15 bitrate= 879.8kbits/s speed=0.386x\nframe= 263 fps= 14 q=30.0 size= 768kB time=00:00:07.33 bitrate= 857.5kbits/s speed=0.384x\nframe= 271 fps= 14 q=30.0 size= 1024kB time=00:00:07.52 bitrate=1115.1kbits/s speed=0.383x\nframe= 278 fps= 14 q=30.0 size= 1024kB time=00:00:07.70 bitrate=1088.2kbits/s speed=0.382x\nframe= 286 fps= 14 q=30.0 size= 1024kB time=00:00:07.89 bitrate=1062.6kbits/s speed=0.381x\nframe= 293 fps= 14 q=30.0 size= 1024kB time=00:00:08.08 bitrate=1038.2kbits/s speed=0.38x\nframe= 301 fps= 14 q=30.0 size= 1280kB time=00:00:08.26 bitrate=1268.5kbits/s speed=0.379x\nframe= 308 fps= 14 q=30.0 size= 1280kB time=00:00:08.47 bitrate=1237.3kbits/s speed=0.378x\nframe= 316 fps= 14 q=30.0 size= 1280kB time=00:00:08.66 bitrate=1210.7kbits/s speed=0.378x\nframe= 323 fps= 14 q=30.0 size= 1536kB time=00:00:08.84 bitrate=1422.4kbits/s speed=0.377x\nframe= 331 fps= 14 q=30.0 size= 1536kB time=00:00:09.03 bitrate=1393.1kbits/s speed=0.376x\nframe= 338 fps= 14 q=30.0 size= 1536kB time=00:00:09.21 bitrate=1365.0kbits/s speed=0.375x\nframe= 346 fps= 14 q=30.0 size= 1536kB time=00:00:09.40 bitrate=1338.1kbits/s speed=0.374x\nframe= 353 fps= 14 q=30.0 size= 1536kB time=00:00:09.58 bitrate=1312.1kbits/s speed=0.373x\nframe= 361 fps= 14 q=30.0 size= 1536kB time=00:00:09.77 bitrate=1287.2kbits/s speed=0.373x\nframe= 368 fps= 14 q=30.0 size= 1536kB time=00:00:09.96 bitrate=1263.2kbits/s speed=0.372x\nframe= 376 fps= 14 q=30.0 size= 1792kB time=00:00:10.14 bitrate=1446.8kbits/s speed=0.371x\nframe= 383 fps= 14 q=30.0 size= 1792kB time=00:00:10.33 bitrate=1420.8kbits/s speed=0.371x\nframe= 391 fps= 14 q=30.0 size= 1792kB time=00:00:10.51 bitrate=1395.7kbits/s speed=0.37x\nframe= 398 fps= 14 q=30.0 size= 1792kB time=00:00:10.70 bitrate=1371.4kbits/s speed=0.37x\nframe= 406 fps= 14 q=30.0 size= 2048kB time=00:00:10.91 bitrate=1537.3kbits/s speed=0.37x\nframe= 413 fps= 14 q=30.0 size= 2048kB time=00:00:11.09 bitrate=1511.6kbits/s speed=0.37x\nframe= 421 fps= 14 q=30.0 size= 2048kB time=00:00:11.28 bitrate=1486.7kbits/s speed=0.369x\nframe= 428 fps= 14 q=30.0 size= 2048kB time=00:00:11.47 bitrate=1462.7kbits/s speed=0.369x\nframe= 436 fps= 14 q=30.0 size= 2304kB time=00:00:11.65 bitrate=1619.3kbits/s speed=0.368x\nframe= 443 fps= 14 q=30.0 size= 2304kB time=00:00:11.84 bitrate=1593.9kbits/s speed=0.368x\nframe= 451 fps= 14 q=30.0 size= 2304kB time=00:00:12.02 bitrate=1569.2kbits/s speed=0.367x\nframe= 458 fps= 14 q=30.0 size= 2304kB time=00:00:12.21 bitrate=1545.4kbits/s speed=0.367x\nframe= 466 fps= 14 q=30.0 size= 2304kB time=00:00:12.39 bitrate=1522.2kbits/s speed=0.367x\nframe= 473 fps= 14 q=30.0 size= 2304kB time=00:00:12.58 bitrate=1499.8kbits/s speed=0.366x\nframe= 481 fps= 14 q=30.0 size= 2304kB time=00:00:12.77 bitrate=1477.9kbits/s speed=0.366x\nframe= 488 fps= 14 q=30.0 size= 2560kB time=00:00:12.95 bitrate=1618.6kbits/s speed=0.366x\nframe= 496 fps= 14 q=30.0 size= 2560kB time=00:00:13.14 bitrate=1595.7kbits/s speed=0.365x\nframe= 503 fps= 14 q=30.0 size= 2560kB time=00:00:13.35 bitrate=1570.8kbits/s speed=0.365x\nframe= 511 fps= 14 q=30.0 size= 2560kB time=00:00:13.53 bitrate=1549.2kbits/s speed=0.365x\nframe= 518 fps= 14 q=30.0 size= 2560kB time=00:00:13.72 bitrate=1528.2kbits/s speed=0.365x\nframe= 526 fps= 14 q=30.0 size= 2560kB time=00:00:13.90 bitrate=1507.8kbits/s speed=0.365x\nframe= 533 fps= 14 q=30.0 size= 2560kB time=00:00:14.09 bitrate=1487.9kbits/s speed=0.365x\nframe= 541 fps= 14 q=30.0 size= 2560kB time=00:00:14.28 bitrate=1468.6kbits/s speed=0.364x\nframe= 548 fps= 14 q=30.0 size= 2560kB time=00:00:14.46 bitrate=1449.7kbits/s speed=0.364x\nframe= 556 fps= 14 q=30.0 size= 2560kB time=00:00:14.65 bitrate=1431.4kbits/s speed=0.364x\nframe= 563 fps= 14 q=30.0 size= 2816kB time=00:00:14.83 bitrate=1554.8kbits/s speed=0.364x\nframe= 571 fps= 14 q=30.0 size= 2816kB time=00:00:15.02 bitrate=1535.6kbits/s speed=0.363x\nframe= 578 fps= 14 q=30.0 size= 2816kB time=00:00:15.20 bitrate=1516.8kbits/s speed=0.363x\nframe= 586 fps= 14 q=30.0 size= 2816kB time=00:00:15.39 bitrate=1498.5kbits/s speed=0.363x\nframe= 593 fps= 14 q=30.0 size= 2816kB time=00:00:15.58 bitrate=1480.6kbits/s speed=0.363x\nframe= 601 fps= 14 q=30.0 size= 2816kB time=00:00:15.76 bitrate=1463.2kbits/s speed=0.363x\nframe= 608 fps= 14 q=30.0 size= 2816kB time=00:00:15.97 bitrate=1444.0kbits/s speed=0.363x\nframe= 616 fps= 14 q=30.0 size= 2816kB time=00:00:16.16 bitrate=1427.4kbits/s speed=0.363x\nframe= 623 fps= 14 q=30.0 size= 2816kB time=00:00:16.34 bitrate=1411.2kbits/s speed=0.363x\nframe= 631 fps= 14 q=30.0 size= 2816kB time=00:00:16.53 bitrate=1395.4kbits/s speed=0.363x\nframe= 638 fps= 14 q=30.0 size= 2816kB time=00:00:16.71 bitrate=1379.9kbits/s speed=0.362x\nframe= 646 fps= 14 q=30.0 size= 2816kB time=00:00:16.90 bitrate=1364.7kbits/s speed=0.362x\nframe= 653 fps= 14 q=30.0 size= 2816kB time=00:00:17.08 bitrate=1349.9kbits/s speed=0.362x\nframe= 661 fps= 14 q=30.0 size= 3072kB time=00:00:17.27 bitrate=1456.7kbits/s speed=0.362x\nframe= 668 fps= 14 q=30.0 size= 3072kB time=00:00:17.46 bitrate=1441.2kbits/s speed=0.362x\nframe= 676 fps= 14 q=30.0 size= 3072kB time=00:00:17.64 bitrate=1426.1kbits/s speed=0.361x\nframe= 683 fps= 14 q=30.0 size= 3072kB time=00:00:17.83 bitrate=1411.2kbits/s speed=0.361x\nframe= 691 fps= 14 q=30.0 size= 3072kB time=00:00:18.01 bitrate=1396.7kbits/s speed=0.361x\nframe= 698 fps= 14 q=30.0 size= 3072kB time=00:00:18.20 bitrate=1382.4kbits/s speed=0.361x\nframe= 706 fps= 14 q=30.0 size= 3072kB time=00:00:18.41 bitrate=1366.7kbits/s speed=0.361x\nframe= 713 fps= 14 q=30.0 size= 3072kB time=00:00:18.59 bitrate=1353.1kbits/s speed=0.361x\nframe= 721 fps= 14 q=30.0 size= 3072kB time=00:00:18.78 bitrate=1339.7kbits/s speed=0.36x\nframe= 728 fps= 14 q=30.0 size= 3328kB time=00:00:18.97 bitrate=1437.1kbits/s speed=0.36x\nframe= 736 fps= 14 q=30.0 size= 3328kB time=00:00:19.15 bitrate=1423.2kbits/s speed=0.36x\nframe= 743 fps= 14 q=30.0 size= 3328kB time=00:00:19.34 bitrate=1409.5kbits/s speed=0.36x\nframe= 751 fps= 14 q=30.0 size= 3328kB time=00:00:19.52 bitrate=1396.1kbits/s speed=0.359x\nframe= 758 fps= 14 q=30.0 size= 3328kB time=00:00:19.71 bitrate=1383.0kbits/s speed=0.359x\nframe= 766 fps= 14 q=30.0 size= 3328kB time=00:00:19.89 bitrate=1370.1kbits/s speed=0.359x\nframe= 773 fps= 14 q=30.0 size= 3328kB time=00:00:20.08 bitrate=1357.4kbits/s speed=0.359x\nframe= 781 fps= 14 q=30.0 size= 3584kB time=00:00:20.27 bitrate=1448.4kbits/s speed=0.359x\nframe= 788 fps= 14 q=30.0 size= 3584kB time=00:00:20.45 bitrate=1435.2kbits/s speed=0.358x\nframe= 796 fps= 14 q=27.0 size= 3584kB time=00:00:20.64 bitrate=1422.3kbits/s speed=0.358x\nframe= 803 fps= 14 q=30.0 size= 3584kB time=00:00:20.85 bitrate=1408.1kbits/s speed=0.358x\nframe= 811 fps= 14 q=30.0 size= 3840kB time=00:00:21.03 bitrate=1495.3kbits/s speed=0.358x\nframe= 818 fps= 14 q=30.0 size= 3840kB time=00:00:21.22 bitrate=1482.2kbits/s speed=0.358x\nframe= 826 fps= 14 q=30.0 size= 3840kB time=00:00:21.40 bitrate=1469.4kbits/s speed=0.358x\nframe= 833 fps= 14 q=30.0 size= 3840kB time=00:00:21.59 bitrate=1456.7kbits/s speed=0.358x\nframe= 841 fps= 14 q=30.0 size= 3840kB time=00:00:21.78 bitrate=1444.3kbits/s speed=0.358x\nframe= 848 fps= 14 q=30.0 size= 3840kB time=00:00:21.96 bitrate=1432.1kbits/s speed=0.357x\nframe= 856 fps= 14 q=30.0 size= 4096kB time=00:00:22.15 bitrate=1514.8kbits/s speed=0.357x\nframe= 863 fps= 14 q=30.0 size= 4096kB time=00:00:22.33 bitrate=1502.2kbits/s speed=0.357x\nframe= 871 fps= 14 q=30.0 size= 4096kB time=00:00:22.52 bitrate=1489.8kbits/s speed=0.357x\nframe= 878 fps= 14 q=30.0 size= 4096kB time=00:00:22.70 bitrate=1477.6kbits/s speed=0.357x\nframe= 886 fps= 14 q=30.0 size= 4096kB time=00:00:22.89 bitrate=1465.6kbits/s speed=0.357x\nframe= 893 fps= 14 q=30.0 size= 4096kB time=00:00:23.08 bitrate=1453.8kbits/s speed=0.357x\nframe= 901 fps= 14 q=30.0 size= 4096kB time=00:00:23.26 bitrate=1442.2kbits/s speed=0.357x\nframe= 908 fps= 14 q=30.0 size= 4096kB time=00:00:23.47 bitrate=1429.4kbits/s speed=0.357x\nframe= 916 fps= 14 q=30.0 size= 4096kB time=00:00:23.66 bitrate=1418.1kbits/s speed=0.357x\nframe= 923 fps= 14 q=30.0 size= 4096kB time=00:00:23.84 bitrate=1407.1kbits/s speed=0.357x\nframe= 931 fps= 14 q=30.0 size= 4096kB time=00:00:24.03 bitrate=1396.2kbits/s speed=0.356x\nframe= 938 fps= 14 q=30.0 size= 4352kB time=00:00:24.21 bitrate=1472.1kbits/s speed=0.356x\nframe= 946 fps= 14 q=30.0 size= 4352kB time=00:00:24.40 bitrate=1460.9kbits/s speed=0.356x\nframe= 953 fps= 14 q=30.0 size= 4352kB time=00:00:24.58 bitrate=1449.9kbits/s speed=0.356x\nframe= 961 fps= 14 q=30.0 size= 4352kB time=00:00:24.77 bitrate=1439.0kbits/s speed=0.356x\nframe= 968 fps= 14 q=30.0 size= 4352kB time=00:00:24.96 bitrate=1428.3kbits/s speed=0.356x\nframe= 976 fps= 14 q=30.0 size= 4352kB time=00:00:25.14 bitrate=1417.7kbits/s speed=0.356x\nframe= 983 fps= 14 q=30.0 size= 4352kB time=00:00:25.33 bitrate=1407.3kbits/s speed=0.356x\nframe= 991 fps= 14 q=30.0 size= 4352kB time=00:00:25.51 bitrate=1397.1kbits/s speed=0.355x\nframe= 998 fps= 14 q=30.0 size= 4352kB time=00:00:25.70 bitrate=1387.0kbits/s speed=0.355x\nframe= 1006 fps= 14 q=30.0 size= 4352kB time=00:00:25.91 bitrate=1375.8kbits/s speed=0.355x\nframe= 1013 fps= 14 q=30.0 size= 4352kB time=00:00:26.09 bitrate=1366.0kbits/s speed=0.355x\nframe= 1021 fps= 14 q=30.0 size= 4608kB time=00:00:26.28 bitrate=1436.1kbits/s speed=0.355x\nframe= 1028 fps= 14 q=30.0 size= 4608kB time=00:00:26.47 bitrate=1426.1kbits/s speed=0.355x\nframe= 1036 fps= 14 q=30.0 size= 4608kB time=00:00:26.65 bitrate=1416.1kbits/s speed=0.355x\nframe= 1043 fps= 14 q=30.0 size= 4608kB time=00:00:26.84 bitrate=1406.3kbits/s speed=0.355x\nframe= 1051 fps= 14 q=30.0 size= 4864kB time=00:00:27.02 bitrate=1474.3kbits/s speed=0.355x\nframe= 1058 fps= 14 q=30.0 size= 4864kB time=00:00:27.21 bitrate=1464.2kbits/s speed=0.355x\nframe= 1066 fps= 14 q=30.0 size= 5120kB time=00:00:27.39 bitrate=1530.8kbits/s speed=0.354x\nframe= 1073 fps= 14 q=30.0 size= 5120kB time=00:00:27.58 bitrate=1520.5kbits/s speed=0.354x\nframe= 1081 fps= 14 q=30.0 size= 5120kB time=00:00:27.77 bitrate=1510.3kbits/s speed=0.354x\nframe= 1088 fps= 14 q=30.0 size= 5120kB time=00:00:27.95 bitrate=1500.3kbits/s speed=0.354x\nframe= 1096 fps= 14 q=30.0 size= 5376kB time=00:00:28.14 bitrate=1564.9kbits/s speed=0.354x\nframe= 1103 fps= 14 q=30.0 size= 5376kB time=00:00:28.35 bitrate=1553.4kbits/s speed=0.354x\nframe= 1111 fps= 14 q=30.0 size= 5376kB time=00:00:28.53 bitrate=1543.3kbits/s speed=0.354x\nframe= 1118 fps= 14 q=30.0 size= 5376kB time=00:00:28.72 bitrate=1533.3kbits/s speed=0.354x\nframe= 1126 fps= 14 q=30.0 size= 5632kB time=00:00:28.90 bitrate=1596.0kbits/s speed=0.354x\nframe= 1133 fps= 14 q=30.0 size= 5632kB time=00:00:29.09 bitrate=1585.8kbits/s speed=0.353x\nframe= 1141 fps= 14 q=30.0 size= 5888kB time=00:00:29.28 bitrate=1647.3kbits/s speed=0.353x\nframe= 1148 fps= 14 q=30.0 size= 5888kB time=00:00:29.46 bitrate=1637.0kbits/s speed=0.353x\nframe= 1156 fps= 14 q=30.0 size= 5888kB time=00:00:29.65 bitrate=1626.7kbits/s speed=0.353x\nframe= 1163 fps= 14 q=30.0 size= 5888kB time=00:00:29.83 bitrate=1616.6kbits/s speed=0.353x\nframe= 1171 fps= 14 q=30.0 size= 6144kB time=00:00:30.02 bitrate=1676.4kbits/s speed=0.353x\nframe= 1178 fps= 14 q=30.0 size= 6144kB time=00:00:30.20 bitrate=1666.1kbits/s speed=0.353x\nframe= 1186 fps= 14 q=30.0 size= 6144kB time=00:00:30.39 bitrate=1655.9kbits/s speed=0.353x\nframe= 1193 fps= 14 q=30.0 size= 6400kB time=00:00:30.58 bitrate=1714.5kbits/s speed=0.353x\nframe= 1201 fps= 14 q=30.0 size= 6400kB time=00:00:30.76 bitrate=1704.1kbits/s speed=0.353x\nframe= 1208 fps= 14 q=30.0 size= 6400kB time=00:00:30.97 bitrate=1692.6kbits/s speed=0.353x\nframe= 1218 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.353x\nframe= 1226 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.351x\nframe= 1233 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.349x\nframe= 1241 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.347x\nframe= 1246 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.345x\nframe= 1246 fps= 14 q=-1.0 Lsize= 7180kB time=00:00:31.23 bitrate=1883.4kbits/s speed=0.345x\nvideo:6899kB audio:253kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.405971%\n[libx264 @ 0x55ac13ddda80] frame I:5 Avg QP:22.35 size: 77602\n[libx264 @ 0x55ac13ddda80] frame P:910 Avg QP:24.35 size: 7058\n[libx264 @ 0x55ac13ddda80] frame B:331 Avg QP:31.51 size: 763\n[libx264 @ 0x55ac13ddda80] consecutive B-frames: 54.9% 25.2% 11.6% 8.3%\n[libx264 @ 0x55ac13ddda80] mb I I16..4: 11.8% 57.1% 31.2%\n[libx264 @ 0x55ac13ddda80] mb P I16..4: 0.0% 0.8% 0.3% P16..4: 38.8% 5.0% 6.2% 0.0% 0.0% skip:48.9%\n[libx264 @ 0x55ac13ddda80] mb B I16..4: 0.0% 0.1% 0.0% B16..8: 16.0% 0.6% 0.3% direct: 1.3% skip:81.8% L0:29.2% L1:63.0% BI: 7.8%\n[libx264 @ 0x55ac13ddda80] 8x8 transform intra:65.1% inter:50.5%\n[libx264 @ 0x55ac13ddda80] coded y,uvDC,uvAC intra: 96.0% 86.9% 50.9% inter: 21.2% 17.8% 0.6%\n[libx264 @ 0x55ac13ddda80] i16 v,h,dc,p: 13% 14% 41% 32%\n[libx264 @ 0x55ac13ddda80] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 7% 16% 33% 8% 5% 5% 8% 6% 11%\n[libx264 @ 0x55ac13ddda80] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 13% 25% 10% 8% 7% 10% 7% 9%\n[libx264 @ 0x55ac13ddda80] i8c dc,h,v,p: 39% 33% 15% 13%\n[libx264 @ 0x55ac13ddda80] Weighted P-Frames: Y:4.2% UV:2.5%\n[libx264 @ 0x55ac13ddda80] ref P L0: 72.3% 21.3% 4.0% 2.2% 0.2%\n[libx264 @ 0x55ac13ddda80] ref B L0: 90.6% 6.6% 2.8%\n[libx264 @ 0x55ac13ddda80] ref B L1: 98.2% 1.8%\n[libx264 @ 0x55ac13ddda80] kb/s:1814.03\n[aac @ 0x55ac13e12a80] Qavg: 3890.277", "metrics": { "predict_time": 391.699155, "total_time": 391.766845 }, "output": [ "https://replicate.delivery/pbxt/HXkSXZfNDvUwO6n7GVojafkDSOQxkefbz3eH0rzpu3Nlr8TDC/00019.png", "https://replicate.delivery/pbxt/J2gMl9g2bc6qG1DiBIxErGja3EsrCFjFvn186ccUBsDa5nGE/00039.png", "https://replicate.delivery/pbxt/f0Vu86cCtZVHPyZdSbY78hu90erSu3K5YIjQ9euVzSSnLfpBB/00059.png", "https://replicate.delivery/pbxt/njRcwoUmi071L9Uld9cG3HiYia0HcE9TyvuYCpIFH14fyPNIA/00079.png", "https://replicate.delivery/pbxt/wVXaj0edG7UQYaatKFSdqBNBmHkIei8TG9kcfOx3mufuYeTDC/00099.png", "https://replicate.delivery/pbxt/sEFgfXcFzJRuWqmfmN1miKJKHArnDfAt74yWtwrflPefl5nGE/00119.png", "https://replicate.delivery/pbxt/OwZZvFMQI8rQCh5YaolvbsWQ7N5r6DGunhcZ56AEgBqo5nGE/00139.png", "https://replicate.delivery/pbxt/vTcAQMD7IZLeAC4B6z9Svdky1AapDnvf4cfl58ZQw8ydNfpBB/00159.png", "https://replicate.delivery/pbxt/8dDk6uLppXK8F5WjYRrXFJIxU9y45fPTiZLTeUQXgzM6mf0gA/00179.png", "https://replicate.delivery/pbxt/72BpdfEucZUCJquyqUa3et38S3sftUydYe6VnRFc6NmWceTDC/00199.png", "https://replicate.delivery/pbxt/X6ICfpXEeUi7lU15zDyN8wTAz7ZpO2NtFVYV057Te53iOfpBB/00219.png", "https://replicate.delivery/pbxt/SbOqKWHAcvaCPNDGCKe3lGLQyckvDXUEgVeJb13jQLkdnf0gA/00239.png", "https://replicate.delivery/pbxt/g6GEENjKUyJBFpdYnHul7WDALXP1da3EegLkFlPXq1B0zPNIA/00259.png", "https://replicate.delivery/pbxt/ZQoLfY9fX0vrJk6c6Pb5jSctXTO0KwcYbfWYPie22OySf8TDC/00279.png", "https://replicate.delivery/pbxt/4Oo5URm0eQ2JbCf87igpvYKQGvJgohTkTS6e46IPLbUAQfpBB/00299.png", "https://replicate.delivery/pbxt/WwwKh7SX6x6fUCwjaxHqnhOysiQ2fVI1tQFe1xA7OEqWQfpBB/00319.png", "https://replicate.delivery/pbxt/iSGhxY68ePwUfUmayB5700fEeezpB5eerdOBiEgHr2F3L0PNIA/00339.png", "https://replicate.delivery/pbxt/OYpBFaKFsfQFC6Mph7qQWon0VFBnrIu0henNMR1o63Ziof0gA/00359.png", "https://replicate.delivery/pbxt/uNe6CYUYj90aeEZkMQEoPkx8pQeOWkVw9ztPt5j6GspcRfpBB/00379.png", "https://replicate.delivery/pbxt/FRx2wjVBXE4CNJaRIrAqTThn4gBjI1cL5fMf2BNlvSX6of0gA/00399.png", "https://replicate.delivery/pbxt/FFBboHxOeD0LASsDrJLuoeYbdacPPFjQvbCIjseEymLKSfpBB/00419.png", "https://replicate.delivery/pbxt/owra4dv43nppNFeqWprdUJLpMFevVmRIa1MsWCl2pN6Rpf0gA/00439.png", "https://replicate.delivery/pbxt/ehrzA6x0N3S2EipHVrUqaKACUYfR9oXcPUrVCksu7yVdpf0gA/00459.png", "https://replicate.delivery/pbxt/Jf4bHQGTzjVuZicpOAHVdMeBn2wswq1CDUwq2si7AoWopf0gA/00479.png", "https://replicate.delivery/pbxt/Ib2BPPD4dyIECFk4WYNcnKTBorUnehUhsGPNjDkPlkO60PNIA/00499.png", "https://replicate.delivery/pbxt/wSRt8ghWnew9PagJHJ0rTAMOu4QR398DfY7k0zXknhm6pf0gA/z_interpollation.mp4", "https://replicate.delivery/pbxt/JGitEYGOzWYKAxMGPQ9Vh64Gv9wwnYhFQtXcU5AeQJ0q1PNIA/z_interpollation_40fps.mp4" ], "started_at": "2023-02-02T23:29:18.753281Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wwpdbkatkzctnj5jgys6iirb44", "cancel": "https://api.replicate.com/v1/predictions/wwpdbkatkzctnj5jgys6iirb44/cancel" }, "version": "dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280" }
Generated intranslated prompts ["Speeding down the road, I didn't see.painting by andrew wyeth, very detailed, somber mood", "Speeding down the road, I didn't see.painting by andrew wyeth, very detailed, somber mood", 'The danger that was waiting for me.painting by andrew wyeth, very detailed, somber mood', 'A flash of light, a sudden stop.painting by andrew wyeth, very detailed, somber mood', "The crunch of metal, I'm thrown from my cop.painting by andrew wyeth, very detailed, somber mood"] using audio file /tmp/tmp2igpf6z5racingcar.aif hop length 1378 audio length 695112 audio sr 22050 length of audio intensities505 num frames per prompt 126 embedding prompts Global seed set to 13 prompt 0 shape torch.Size([1, 77, 768]) len smoothed_audio_intensities 505 len interpolated_prompts 504 interp prompts 0 shape torch.Size([1, 77, 768]) start_codes 0 shape torch.Size([1, 4, 64, 64]) data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.63it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.69it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.67it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.66it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.66it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.65it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.65it/s] 100%|██████████| 15/15 [00:08<00:00, 1.65it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00000.png Saved ./outputs/00001.png Saved ./outputs/00002.png Saved ./outputs/00003.png Saved ./outputs/00004.png Saved ./outputs/00005.png Saved ./outputs/00006.png Saved ./outputs/00007.png Saved ./outputs/00008.png Saved ./outputs/00009.png Saved ./outputs/00010.png Saved ./outputs/00011.png Saved ./outputs/00012.png Saved ./outputs/00013.png Saved ./outputs/00014.png Saved ./outputs/00015.png Saved ./outputs/00016.png Saved ./outputs/00017.png Saved ./outputs/00018.png Saved ./outputs/00019.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.98it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.18it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.79it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.66it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.65it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00020.png Saved ./outputs/00021.png Saved ./outputs/00022.png Saved ./outputs/00023.png Saved ./outputs/00024.png Saved ./outputs/00025.png Saved ./outputs/00026.png Saved ./outputs/00027.png Saved ./outputs/00028.png Saved ./outputs/00029.png Saved ./outputs/00030.png Saved ./outputs/00031.png Saved ./outputs/00032.png Saved ./outputs/00033.png Saved ./outputs/00034.png Saved ./outputs/00035.png Saved ./outputs/00036.png Saved ./outputs/00037.png Saved ./outputs/00038.png Saved ./outputs/00039.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.86it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.16it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.66it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.65it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.65it/s] 100%|██████████| 15/15 [00:08<00:00, 1.65it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00040.png Saved ./outputs/00041.png Saved ./outputs/00042.png Saved ./outputs/00043.png Saved ./outputs/00044.png Saved ./outputs/00045.png Saved ./outputs/00046.png Saved ./outputs/00047.png Saved ./outputs/00048.png Saved ./outputs/00049.png Saved ./outputs/00050.png Saved ./outputs/00051.png Saved ./outputs/00052.png Saved ./outputs/00053.png Saved ./outputs/00054.png Saved ./outputs/00055.png Saved ./outputs/00056.png Saved ./outputs/00057.png Saved ./outputs/00058.png Saved ./outputs/00059.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.77it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.14it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.66it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.65it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.65it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00060.png Saved ./outputs/00061.png Saved ./outputs/00062.png Saved ./outputs/00063.png Saved ./outputs/00064.png Saved ./outputs/00065.png Saved ./outputs/00066.png Saved ./outputs/00067.png Saved ./outputs/00068.png Saved ./outputs/00069.png Saved ./outputs/00070.png Saved ./outputs/00071.png Saved ./outputs/00072.png Saved ./outputs/00073.png Saved ./outputs/00074.png Saved ./outputs/00075.png Saved ./outputs/00076.png Saved ./outputs/00077.png Saved ./outputs/00078.png Saved ./outputs/00079.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.22it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s] 20%|██ | 3/15 [00:01<00:06, 1.90it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.79it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00080.png Saved ./outputs/00081.png Saved ./outputs/00082.png Saved ./outputs/00083.png Saved ./outputs/00084.png Saved ./outputs/00085.png Saved ./outputs/00086.png Saved ./outputs/00087.png Saved ./outputs/00088.png Saved ./outputs/00089.png Saved ./outputs/00090.png Saved ./outputs/00091.png Saved ./outputs/00092.png Saved ./outputs/00093.png Saved ./outputs/00094.png Saved ./outputs/00095.png Saved ./outputs/00096.png Saved ./outputs/00097.png Saved ./outputs/00098.png Saved ./outputs/00099.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.82it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.16it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00100.png Saved ./outputs/00101.png Saved ./outputs/00102.png Saved ./outputs/00103.png Saved ./outputs/00104.png Saved ./outputs/00105.png Saved ./outputs/00106.png Saved ./outputs/00107.png Saved ./outputs/00108.png Saved ./outputs/00109.png Saved ./outputs/00110.png Saved ./outputs/00111.png Saved ./outputs/00112.png Saved ./outputs/00113.png Saved ./outputs/00114.png Saved ./outputs/00115.png Saved ./outputs/00116.png Saved ./outputs/00117.png Saved ./outputs/00118.png Saved ./outputs/00119.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.83it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00120.png Saved ./outputs/00121.png Saved ./outputs/00122.png Saved ./outputs/00123.png Saved ./outputs/00124.png Saved ./outputs/00125.png Saved ./outputs/00126.png Saved ./outputs/00127.png Saved ./outputs/00128.png Saved ./outputs/00129.png Saved ./outputs/00130.png Saved ./outputs/00131.png Saved ./outputs/00132.png Saved ./outputs/00133.png Saved ./outputs/00134.png Saved ./outputs/00135.png Saved ./outputs/00136.png Saved ./outputs/00137.png Saved ./outputs/00138.png Saved ./outputs/00139.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.77it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00140.png Saved ./outputs/00141.png Saved ./outputs/00142.png Saved ./outputs/00143.png Saved ./outputs/00144.png Saved ./outputs/00145.png Saved ./outputs/00146.png Saved ./outputs/00147.png Saved ./outputs/00148.png Saved ./outputs/00149.png Saved ./outputs/00150.png Saved ./outputs/00151.png Saved ./outputs/00152.png Saved ./outputs/00153.png Saved ./outputs/00154.png Saved ./outputs/00155.png Saved ./outputs/00156.png Saved ./outputs/00157.png Saved ./outputs/00158.png Saved ./outputs/00159.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.66it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.12it/s] 20%|██ | 3/15 [00:01<00:06, 1.87it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.77it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00160.png Saved ./outputs/00161.png Saved ./outputs/00162.png Saved ./outputs/00163.png Saved ./outputs/00164.png Saved ./outputs/00165.png Saved ./outputs/00166.png Saved ./outputs/00167.png Saved ./outputs/00168.png Saved ./outputs/00169.png Saved ./outputs/00170.png Saved ./outputs/00171.png Saved ./outputs/00172.png Saved ./outputs/00173.png Saved ./outputs/00174.png Saved ./outputs/00175.png Saved ./outputs/00176.png Saved ./outputs/00177.png Saved ./outputs/00178.png Saved ./outputs/00179.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.95it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00180.png Saved ./outputs/00181.png Saved ./outputs/00182.png Saved ./outputs/00183.png Saved ./outputs/00184.png Saved ./outputs/00185.png Saved ./outputs/00186.png Saved ./outputs/00187.png Saved ./outputs/00188.png Saved ./outputs/00189.png Saved ./outputs/00190.png Saved ./outputs/00191.png Saved ./outputs/00192.png Saved ./outputs/00193.png Saved ./outputs/00194.png Saved ./outputs/00195.png Saved ./outputs/00196.png Saved ./outputs/00197.png Saved ./outputs/00198.png Saved ./outputs/00199.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.82it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00200.png Saved ./outputs/00201.png Saved ./outputs/00202.png Saved ./outputs/00203.png Saved ./outputs/00204.png Saved ./outputs/00205.png Saved ./outputs/00206.png Saved ./outputs/00207.png Saved ./outputs/00208.png Saved ./outputs/00209.png Saved ./outputs/00210.png Saved ./outputs/00211.png Saved ./outputs/00212.png Saved ./outputs/00213.png Saved ./outputs/00214.png Saved ./outputs/00215.png Saved ./outputs/00216.png Saved ./outputs/00217.png Saved ./outputs/00218.png Saved ./outputs/00219.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.88it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00220.png Saved ./outputs/00221.png Saved ./outputs/00222.png Saved ./outputs/00223.png Saved ./outputs/00224.png Saved ./outputs/00225.png Saved ./outputs/00226.png Saved ./outputs/00227.png Saved ./outputs/00228.png Saved ./outputs/00229.png Saved ./outputs/00230.png Saved ./outputs/00231.png Saved ./outputs/00232.png Saved ./outputs/00233.png Saved ./outputs/00234.png Saved ./outputs/00235.png Saved ./outputs/00236.png Saved ./outputs/00237.png Saved ./outputs/00238.png Saved ./outputs/00239.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.97it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.16it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00240.png Saved ./outputs/00241.png Saved ./outputs/00242.png Saved ./outputs/00243.png Saved ./outputs/00244.png Saved ./outputs/00245.png Saved ./outputs/00246.png Saved ./outputs/00247.png Saved ./outputs/00248.png Saved ./outputs/00249.png Saved ./outputs/00250.png Saved ./outputs/00251.png Saved ./outputs/00252.png Saved ./outputs/00253.png Saved ./outputs/00254.png Saved ./outputs/00255.png Saved ./outputs/00256.png Saved ./outputs/00257.png Saved ./outputs/00258.png Saved ./outputs/00259.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.88it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00260.png Saved ./outputs/00261.png Saved ./outputs/00262.png Saved ./outputs/00263.png Saved ./outputs/00264.png Saved ./outputs/00265.png Saved ./outputs/00266.png Saved ./outputs/00267.png Saved ./outputs/00268.png Saved ./outputs/00269.png Saved ./outputs/00270.png Saved ./outputs/00271.png Saved ./outputs/00272.png Saved ./outputs/00273.png Saved ./outputs/00274.png Saved ./outputs/00275.png Saved ./outputs/00276.png Saved ./outputs/00277.png Saved ./outputs/00278.png Saved ./outputs/00279.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.87it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00280.png Saved ./outputs/00281.png Saved ./outputs/00282.png Saved ./outputs/00283.png Saved ./outputs/00284.png Saved ./outputs/00285.png Saved ./outputs/00286.png Saved ./outputs/00287.png Saved ./outputs/00288.png Saved ./outputs/00289.png Saved ./outputs/00290.png Saved ./outputs/00291.png Saved ./outputs/00292.png Saved ./outputs/00293.png Saved ./outputs/00294.png Saved ./outputs/00295.png Saved ./outputs/00296.png Saved ./outputs/00297.png Saved ./outputs/00298.png Saved ./outputs/00299.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.17it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00300.png Saved ./outputs/00301.png Saved ./outputs/00302.png Saved ./outputs/00303.png Saved ./outputs/00304.png Saved ./outputs/00305.png Saved ./outputs/00306.png Saved ./outputs/00307.png Saved ./outputs/00308.png Saved ./outputs/00309.png Saved ./outputs/00310.png Saved ./outputs/00311.png Saved ./outputs/00312.png Saved ./outputs/00313.png Saved ./outputs/00314.png Saved ./outputs/00315.png Saved ./outputs/00316.png Saved ./outputs/00317.png Saved ./outputs/00318.png Saved ./outputs/00319.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.04it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.65it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00320.png Saved ./outputs/00321.png Saved ./outputs/00322.png Saved ./outputs/00323.png Saved ./outputs/00324.png Saved ./outputs/00325.png Saved ./outputs/00326.png Saved ./outputs/00327.png Saved ./outputs/00328.png Saved ./outputs/00329.png Saved ./outputs/00330.png Saved ./outputs/00331.png Saved ./outputs/00332.png Saved ./outputs/00333.png Saved ./outputs/00334.png Saved ./outputs/00335.png Saved ./outputs/00336.png Saved ./outputs/00337.png Saved ./outputs/00338.png Saved ./outputs/00339.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.73it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.77it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00340.png Saved ./outputs/00341.png Saved ./outputs/00342.png Saved ./outputs/00343.png Saved ./outputs/00344.png Saved ./outputs/00345.png Saved ./outputs/00346.png Saved ./outputs/00347.png Saved ./outputs/00348.png Saved ./outputs/00349.png Saved ./outputs/00350.png Saved ./outputs/00351.png Saved ./outputs/00352.png Saved ./outputs/00353.png Saved ./outputs/00354.png Saved ./outputs/00355.png Saved ./outputs/00356.png Saved ./outputs/00357.png Saved ./outputs/00358.png Saved ./outputs/00359.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.23it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s] 20%|██ | 3/15 [00:01<00:06, 1.90it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.67it/s] 60%|██████ | 9/15 [00:05<00:03, 1.66it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00360.png Saved ./outputs/00361.png Saved ./outputs/00362.png Saved ./outputs/00363.png Saved ./outputs/00364.png Saved ./outputs/00365.png Saved ./outputs/00366.png Saved ./outputs/00367.png Saved ./outputs/00368.png Saved ./outputs/00369.png Saved ./outputs/00370.png Saved ./outputs/00371.png Saved ./outputs/00372.png Saved ./outputs/00373.png Saved ./outputs/00374.png Saved ./outputs/00375.png Saved ./outputs/00376.png Saved ./outputs/00377.png Saved ./outputs/00378.png Saved ./outputs/00379.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.22it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s] 20%|██ | 3/15 [00:01<00:06, 1.90it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00380.png Saved ./outputs/00381.png Saved ./outputs/00382.png Saved ./outputs/00383.png Saved ./outputs/00384.png Saved ./outputs/00385.png Saved ./outputs/00386.png Saved ./outputs/00387.png Saved ./outputs/00388.png Saved ./outputs/00389.png Saved ./outputs/00390.png Saved ./outputs/00391.png Saved ./outputs/00392.png Saved ./outputs/00393.png Saved ./outputs/00394.png Saved ./outputs/00395.png Saved ./outputs/00396.png Saved ./outputs/00397.png Saved ./outputs/00398.png Saved ./outputs/00399.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.75it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.13it/s] 20%|██ | 3/15 [00:01<00:06, 1.87it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00400.png Saved ./outputs/00401.png Saved ./outputs/00402.png Saved ./outputs/00403.png Saved ./outputs/00404.png Saved ./outputs/00405.png Saved ./outputs/00406.png Saved ./outputs/00407.png Saved ./outputs/00408.png Saved ./outputs/00409.png Saved ./outputs/00410.png Saved ./outputs/00411.png Saved ./outputs/00412.png Saved ./outputs/00413.png Saved ./outputs/00414.png Saved ./outputs/00415.png Saved ./outputs/00416.png Saved ./outputs/00417.png Saved ./outputs/00418.png Saved ./outputs/00419.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.10it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.17it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00420.png Saved ./outputs/00421.png Saved ./outputs/00422.png Saved ./outputs/00423.png Saved ./outputs/00424.png Saved ./outputs/00425.png Saved ./outputs/00426.png Saved ./outputs/00427.png Saved ./outputs/00428.png Saved ./outputs/00429.png Saved ./outputs/00430.png Saved ./outputs/00431.png Saved ./outputs/00432.png Saved ./outputs/00433.png Saved ./outputs/00434.png Saved ./outputs/00435.png Saved ./outputs/00436.png Saved ./outputs/00437.png Saved ./outputs/00438.png Saved ./outputs/00439.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.79it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.15it/s] 20%|██ | 3/15 [00:01<00:06, 1.88it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00440.png Saved ./outputs/00441.png Saved ./outputs/00442.png Saved ./outputs/00443.png Saved ./outputs/00444.png Saved ./outputs/00445.png Saved ./outputs/00446.png Saved ./outputs/00447.png Saved ./outputs/00448.png Saved ./outputs/00449.png Saved ./outputs/00450.png Saved ./outputs/00451.png Saved ./outputs/00452.png Saved ./outputs/00453.png Saved ./outputs/00454.png Saved ./outputs/00455.png Saved ./outputs/00456.png Saved ./outputs/00457.png Saved ./outputs/00458.png Saved ./outputs/00459.png data_batch torch.Size([20, 77, 768]) start_code_batch torch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 4.18it/s] 13%|█▎ | 2/15 [00:00<00:05, 2.19it/s] 20%|██ | 3/15 [00:01<00:06, 1.89it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.78it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.73it/s] 40%|████ | 6/15 [00:03<00:05, 1.70it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.68it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.64it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.71it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00460.png Saved ./outputs/00461.png Saved ./outputs/00462.png Saved ./outputs/00463.png Saved ./outputs/00464.png Saved ./outputs/00465.png Saved ./outputs/00466.png Saved ./outputs/00467.png Saved ./outputs/00468.png Saved ./outputs/00469.png Saved ./outputs/00470.png Saved ./outputs/00471.png Saved ./outputs/00472.png Saved ./outputs/00473.png Saved ./outputs/00474.png Saved ./outputs/00475.png Saved ./outputs/00476.png Saved ./outputs/00477.png Saved ./outputs/00478.png Saved ./outputs/00479.png data_batch torch.Size([20, 77, 768]) start_code_batchtorch.Size([20, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:03, 3.89it/s] 13%|█▎ | 2/15 [00:00<00:06, 2.12it/s] 20%|██ | 3/15 [00:01<00:06, 1.86it/s] 27%|██▋ | 4/15 [00:02<00:06, 1.77it/s] 33%|███▎ | 5/15 [00:02<00:05, 1.72it/s] 40%|████ | 6/15 [00:03<00:05, 1.69it/s] 47%|████▋ | 7/15 [00:03<00:04, 1.67it/s] 53%|█████▎ | 8/15 [00:04<00:04, 1.66it/s] 60%|██████ | 9/15 [00:05<00:03, 1.65it/s] 67%|██████▋ | 10/15 [00:05<00:03, 1.65it/s] 73%|███████▎ | 11/15 [00:06<00:02, 1.65it/s] 80%|████████ | 12/15 [00:06<00:01, 1.64it/s] 87%|████████▋ | 13/15 [00:07<00:01, 1.64it/s] 93%|█████████▎| 14/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.64it/s] 100%|██████████| 15/15 [00:08<00:00, 1.70it/s] samples_ddim torch.Size([20, 4, 64, 64]) Saved ./outputs/00480.png Saved ./outputs/00481.png Saved ./outputs/00482.png Saved ./outputs/00483.png Saved ./outputs/00484.png Saved ./outputs/00485.png Saved ./outputs/00486.png Saved ./outputs/00487.png Saved ./outputs/00488.png Saved ./outputs/00489.png Saved ./outputs/00490.png Saved ./outputs/00491.png Saved ./outputs/00492.png Saved ./outputs/00493.png Saved ./outputs/00494.png Saved ./outputs/00495.png Saved ./outputs/00496.png Saved ./outputs/00497.png Saved ./outputs/00498.png Saved ./outputs/00499.png data_batch torch.Size([4, 77, 768]) start_code_batch torch.Size([5, 4, 64, 64]) sigmas tensor([14.6094, 9.6836, 6.6780, 4.7757, 3.5218, 2.6662, 2.0614, 1.6157, 1.2769, 1.0091, 0.7915, 0.6052, 0.4400, 0.2778, 0.0312, 0.0000], device='cuda:0') 0%| | 0/15 [00:00<?, ?it/s] 0%| | 0/15 [00:00<?, ?it/s] diffuse failed. returning empty list. Your samples have been saved to: ./outputs Enjoy. total 287264 -rw-r--r-- 1 root root 577436 Feb 2 23:29 00000.png -rw-r--r-- 1 root root 577644 Feb 2 23:29 00001.png -rw-r--r-- 1 root root 577436 Feb 2 23:29 00002.png -rw-r--r-- 1 root root 577691 Feb 2 23:29 00003.png -rw-r--r-- 1 root root 577701 Feb 2 23:29 00004.png -rw-r--r-- 1 root root 577804 Feb 2 23:29 00005.png -rw-r--r-- 1 root root 577680 Feb 2 23:29 00006.png -rw-r--r-- 1 root root 578770 Feb 2 23:29 00007.png -rw-r--r-- 1 root root 578478 Feb 2 23:29 00008.png -rw-r--r-- 1 root root 577804 Feb 2 23:29 00009.png -rw-r--r-- 1 root root 577701 Feb 2 23:29 00010.png -rw-r--r-- 1 root root 577436 Feb 2 23:29 00011.png -rw-r--r-- 1 root root 577436 Feb 2 23:29 00012.png -rw-r--r-- 1 root root 577711 Feb 2 23:29 00013.png -rw-r--r-- 1 root root 578749 Feb 2 23:29 00014.png -rw-r--r-- 1 root root 579667 Feb 2 23:29 00015.png -rw-r--r-- 1 root root 579170 Feb 2 23:29 00016.png -rw-r--r-- 1 root root 578968 Feb 2 23:29 00017.png -rw-r--r-- 1 root root 578447 Feb 2 23:29 00018.png -rw-r--r-- 1 root root 578839 Feb 2 23:29 00019.png -rw-r--r-- 1 root root 578532 Feb 2 23:29 00020.png -rw-r--r-- 1 root root 577272 Feb 2 23:29 00021.png -rw-r--r-- 1 root root 577011 Feb 2 23:29 00022.png -rw-r--r-- 1 root root 578600 Feb 2 23:29 00023.png -rw-r--r-- 1 root root 578753 Feb 2 23:29 00024.png -rw-r--r-- 1 root root 578255 Feb 2 23:29 00025.png -rw-r--r-- 1 root root 577990 Feb 2 23:29 00026.png -rw-r--r-- 1 root root 578141 Feb 2 23:29 00027.png -rw-r--r-- 1 root root 577959 Feb 2 23:29 00028.png -rw-r--r-- 1 root root 578124 Feb 2 23:29 00029.png -rw-r--r-- 1 root root 578141 Feb 2 23:29 00030.png -rw-r--r-- 1 root root 578124 Feb 2 23:29 00031.png -rw-r--r-- 1 root root 578299 Feb 2 23:29 00032.png -rw-r--r-- 1 root root 579476 Feb 2 23:29 00033.png -rw-r--r-- 1 root root 581120 Feb 2 23:29 00034.png -rw-r--r-- 1 root root 580467 Feb 2 23:29 00035.png -rw-r--r-- 1 root root 580710 Feb 2 23:29 00036.png -rw-r--r-- 1 root root 581052 Feb 2 23:29 00037.png -rw-r--r-- 1 root root 581400 Feb 2 23:29 00038.png -rw-r--r-- 1 root root 580865 Feb 2 23:29 00039.png -rw-r--r-- 1 root root 581038 Feb 2 23:29 00040.png -rw-r--r-- 1 root root 582948 Feb 2 23:29 00041.png -rw-r--r-- 1 root root 582724 Feb 2 23:29 00042.png -rw-r--r-- 1 root root 581628 Feb 2 23:29 00043.png -rw-r--r-- 1 root root 580369 Feb 2 23:29 00044.png -rw-r--r-- 1 root root 580242 Feb 2 23:29 00045.png -rw-r--r-- 1 root root 579144 Feb 2 23:29 00046.png -rw-r--r-- 1 root root 579572 Feb 2 23:29 00047.png -rw-r--r-- 1 root root 579377 Feb 2 23:29 00048.png -rw-r--r-- 1 root root 579479 Feb 2 23:29 00049.png -rw-r--r-- 1 root root 580869 Feb 2 23:29 00050.png -rw-r--r-- 1 root root 580717 Feb 2 23:29 00051.png -rw-r--r-- 1 root root 583075 Feb 2 23:29 00052.png -rw-r--r-- 1 root root 582423 Feb 2 23:29 00053.png -rw-r--r-- 1 root root 582986 Feb 2 23:29 00054.png -rw-r--r-- 1 root root 581450 Feb 2 23:29 00055.png -rw-r--r-- 1 root root 582099 Feb 2 23:29 00056.png -rw-r--r-- 1 root root 582599 Feb 2 23:29 00057.png -rw-r--r-- 1 root root 582793 Feb 2 23:29 00058.png -rw-r--r-- 1 root root 581920 Feb 2 23:29 00059.png -rw-r--r-- 1 root root 581749 Feb 2 23:30 00060.png -rw-r--r-- 1 root root 580984 Feb 2 23:30 00061.png -rw-r--r-- 1 root root 580846 Feb 2 23:30 00062.png -rw-r--r-- 1 root root 580925 Feb 2 23:30 00063.png -rw-r--r-- 1 root root 580589 Feb 2 23:30 00064.png -rw-r--r-- 1 root root 580689 Feb 2 23:30 00065.png -rw-r--r-- 1 root root 581030 Feb 2 23:30 00066.png -rw-r--r-- 1 root root 581146 Feb 2 23:30 00067.png -rw-r--r-- 1 root root 580803 Feb 2 23:30 00068.png -rw-r--r-- 1 root root 580995 Feb 2 23:30 00069.png -rw-r--r-- 1 root root 580775 Feb 2 23:30 00070.png -rw-r--r-- 1 root root 580938 Feb 2 23:30 00071.png -rw-r--r-- 1 root root 580648 Feb 2 23:30 00072.png -rw-r--r-- 1 root root 581015 Feb 2 23:30 00073.png -rw-r--r-- 1 root root 581103 Feb 2 23:30 00074.png -rw-r--r-- 1 root root 580796 Feb 2 23:30 00075.png -rw-r--r-- 1 root root 580772 Feb 2 23:30 00076.png -rw-r--r-- 1 root root 581299 Feb 2 23:30 00077.png -rw-r--r-- 1 root root 581699 Feb 2 23:30 00078.png -rw-r--r-- 1 root root 582034 Feb 2 23:30 00079.png -rw-r--r-- 1 root root 581822 Feb 2 23:30 00080.png -rw-r--r-- 1 root root 582224 Feb 2 23:30 00081.png -rw-r--r-- 1 root root 582443 Feb 2 23:30 00082.png -rw-r--r-- 1 root root 582485 Feb 2 23:30 00083.png -rw-r--r-- 1 root root 581102 Feb 2 23:30 00084.png -rw-r--r-- 1 root root 582661 Feb 2 23:30 00085.png -rw-r--r-- 1 root root 582836 Feb 2 23:30 00086.png -rw-r--r-- 1 root root 580980 Feb 2 23:30 00087.png -rw-r--r-- 1 root root 578875 Feb 2 23:30 00088.png -rw-r--r-- 1 root root 580834 Feb 2 23:30 00089.png -rw-r--r-- 1 root root 582483 Feb 2 23:30 00090.png -rw-r--r-- 1 root root 582231 Feb 2 23:30 00091.png -rw-r--r-- 1 root root 581680 Feb 2 23:30 00092.png -rw-r--r-- 1 root root 585567 Feb 2 23:30 00093.png -rw-r--r-- 1 root root 586425 Feb 2 23:30 00094.png -rw-r--r-- 1 root root 588343 Feb 2 23:30 00095.png -rw-r--r-- 1 root root 589065 Feb 2 23:30 00096.png -rw-r--r-- 1 root root 589275 Feb 2 23:30 00097.png -rw-r--r-- 1 root root 590966 Feb 2 23:30 00098.png -rw-r--r-- 1 root root 588250 Feb 2 23:30 00099.png -rw-r--r-- 1 root root 586466 Feb 2 23:30 00100.png -rw-r--r-- 1 root root 583076 Feb 2 23:30 00101.png -rw-r--r-- 1 root root 582930 Feb 2 23:30 00102.png -rw-r--r-- 1 root root 582780 Feb 2 23:30 00103.png -rw-r--r-- 1 root root 582296 Feb 2 23:30 00104.png -rw-r--r-- 1 root root 579682 Feb 2 23:30 00105.png -rw-r--r-- 1 root root 579425 Feb 2 23:30 00106.png -rw-r--r-- 1 root root 578562 Feb 2 23:30 00107.png -rw-r--r-- 1 root root 580772 Feb 2 23:30 00108.png -rw-r--r-- 1 root root 583262 Feb 2 23:30 00109.png -rw-r--r-- 1 root root 582361 Feb 2 23:30 00110.png -rw-r--r-- 1 root root 583184 Feb 2 23:30 00111.png -rw-r--r-- 1 root root 583409 Feb 2 23:30 00112.png -rw-r--r-- 1 root root 582967 Feb 2 23:30 00113.png -rw-r--r-- 1 root root 583154 Feb 2 23:30 00114.png -rw-r--r-- 1 root root 582420 Feb 2 23:30 00115.png -rw-r--r-- 1 root root 582940 Feb 2 23:30 00116.png -rw-r--r-- 1 root root 582555 Feb 2 23:30 00117.png -rw-r--r-- 1 root root 583175 Feb 2 23:30 00118.png -rw-r--r-- 1 root root 583185 Feb 2 23:30 00119.png -rw-r--r-- 1 root root 580842 Feb 2 23:30 00120.png -rw-r--r-- 1 root root 580529 Feb 2 23:30 00121.png -rw-r--r-- 1 root root 579045 Feb 2 23:30 00122.png -rw-r--r-- 1 root root 579799 Feb 2 23:30 00123.png -rw-r--r-- 1 root root 580484 Feb 2 23:30 00124.png -rw-r--r-- 1 root root 581999 Feb 2 23:30 00125.png -rw-r--r-- 1 root root 582034 Feb 2 23:30 00126.png -rw-r--r-- 1 root root 577302 Feb 2 23:30 00127.png -rw-r--r-- 1 root root 578229 Feb 2 23:30 00128.png -rw-r--r-- 1 root root 579475 Feb 2 23:30 00129.png -rw-r--r-- 1 root root 579087 Feb 2 23:30 00130.png -rw-r--r-- 1 root root 571864 Feb 2 23:30 00131.png -rw-r--r-- 1 root root 572384 Feb 2 23:30 00132.png -rw-r--r-- 1 root root 572589 Feb 2 23:30 00133.png -rw-r--r-- 1 root root 579621 Feb 2 23:30 00134.png -rw-r--r-- 1 root root 578225 Feb 2 23:30 00135.png -rw-r--r-- 1 root root 576790 Feb 2 23:30 00136.png -rw-r--r-- 1 root root 571278 Feb 2 23:30 00137.png -rw-r--r-- 1 root root 566027 Feb 2 23:30 00138.png -rw-r--r-- 1 root root 560436 Feb 2 23:30 00139.png -rw-r--r-- 1 root root 554269 Feb 2 23:30 00140.png -rw-r--r-- 1 root root 553001 Feb 2 23:30 00141.png -rw-r--r-- 1 root root 552334 Feb 2 23:30 00142.png -rw-r--r-- 1 root root 551603 Feb 2 23:30 00143.png -rw-r--r-- 1 root root 551293 Feb 2 23:30 00144.png -rw-r--r-- 1 root root 551860 Feb 2 23:30 00145.png -rw-r--r-- 1 root root 551132 Feb 2 23:30 00146.png -rw-r--r-- 1 root root 550431 Feb 2 23:30 00147.png -rw-r--r-- 1 root root 550816 Feb 2 23:30 00148.png -rw-r--r-- 1 root root 552068 Feb 2 23:30 00149.png -rw-r--r-- 1 root root 552236 Feb 2 23:30 00150.png -rw-r--r-- 1 root root 552112 Feb 2 23:30 00151.png -rw-r--r-- 1 root root 553407 Feb 2 23:30 00152.png -rw-r--r-- 1 root root 552926 Feb 2 23:30 00153.png -rw-r--r-- 1 root root 553416 Feb 2 23:30 00154.png -rw-r--r-- 1 root root 554084 Feb 2 23:30 00155.png -rw-r--r-- 1 root root 554567 Feb 2 23:30 00156.png -rw-r--r-- 1 root root 554534 Feb 2 23:30 00157.png -rw-r--r-- 1 root root 554835 Feb 2 23:30 00158.png -rw-r--r-- 1 root root 553150 Feb 2 23:30 00159.png -rw-r--r-- 1 root root 553859 Feb 2 23:31 00160.png -rw-r--r-- 1 root root 553940 Feb 2 23:31 00161.png -rw-r--r-- 1 root root 555986 Feb 2 23:31 00162.png -rw-r--r-- 1 root root 556483 Feb 2 23:31 00163.png -rw-r--r-- 1 root root 557636 Feb 2 23:31 00164.png -rw-r--r-- 1 root root 558028 Feb 2 23:31 00165.png -rw-r--r-- 1 root root 558049 Feb 2 23:31 00166.png -rw-r--r-- 1 root root 558512 Feb 2 23:31 00167.png -rw-r--r-- 1 root root 559561 Feb 2 23:31 00168.png -rw-r--r-- 1 root root 560747 Feb 2 23:31 00169.png -rw-r--r-- 1 root root 561903 Feb 2 23:31 00170.png -rw-r--r-- 1 root root 563148 Feb 2 23:31 00171.png -rw-r--r-- 1 root root 563579 Feb 2 23:31 00172.png -rw-r--r-- 1 root root 563658 Feb 2 23:31 00173.png -rw-r--r-- 1 root root 565013 Feb 2 23:31 00174.png -rw-r--r-- 1 root root 565678 Feb 2 23:31 00175.png -rw-r--r-- 1 root root 566316 Feb 2 23:31 00176.png -rw-r--r-- 1 root root 566826 Feb 2 23:31 00177.png -rw-r--r-- 1 root root 567428 Feb 2 23:31 00178.png -rw-r--r-- 1 root root 568004 Feb 2 23:31 00179.png -rw-r--r-- 1 root root 568856 Feb 2 23:31 00180.png -rw-r--r-- 1 root root 569671 Feb 2 23:31 00181.png -rw-r--r-- 1 root root 569942 Feb 2 23:31 00182.png -rw-r--r-- 1 root root 570537 Feb 2 23:31 00183.png -rw-r--r-- 1 root root 570894 Feb 2 23:31 00184.png -rw-r--r-- 1 root root 571633 Feb 2 23:31 00185.png -rw-r--r-- 1 root root 572170 Feb 2 23:31 00186.png -rw-r--r-- 1 root root 572084 Feb 2 23:31 00187.png -rw-r--r-- 1 root root 572483 Feb 2 23:31 00188.png -rw-r--r-- 1 root root 572468 Feb 2 23:31 00189.png -rw-r--r-- 1 root root 572669 Feb 2 23:31 00190.png -rw-r--r-- 1 root root 573618 Feb 2 23:31 00191.png -rw-r--r-- 1 root root 573565 Feb 2 23:31 00192.png -rw-r--r-- 1 root root 573546 Feb 2 23:31 00193.png -rw-r--r-- 1 root root 574176 Feb 2 23:31 00194.png -rw-r--r-- 1 root root 574470 Feb 2 23:31 00195.png -rw-r--r-- 1 root root 573289 Feb 2 23:31 00196.png -rw-r--r-- 1 root root 573638 Feb 2 23:31 00197.png -rw-r--r-- 1 root root 573483 Feb 2 23:31 00198.png -rw-r--r-- 1 root root 572837 Feb 2 23:31 00199.png -rw-r--r-- 1 root root 573428 Feb 2 23:31 00200.png -rw-r--r-- 1 root root 575426 Feb 2 23:31 00201.png -rw-r--r-- 1 root root 574527 Feb 2 23:31 00202.png -rw-r--r-- 1 root root 574942 Feb 2 23:31 00203.png -rw-r--r-- 1 root root 574845 Feb 2 23:31 00204.png -rw-r--r-- 1 root root 574736 Feb 2 23:31 00205.png -rw-r--r-- 1 root root 574917 Feb 2 23:31 00206.png -rw-r--r-- 1 root root 575643 Feb 2 23:31 00207.png -rw-r--r-- 1 root root 575304 Feb 2 23:31 00208.png -rw-r--r-- 1 root root 575475 Feb 2 23:31 00209.png -rw-r--r-- 1 root root 575913 Feb 2 23:31 00210.png -rw-r--r-- 1 root root 576136 Feb 2 23:31 00211.png -rw-r--r-- 1 root root 576005 Feb 2 23:31 00212.png -rw-r--r-- 1 root root 575977 Feb 2 23:31 00213.png -rw-r--r-- 1 root root 575397 Feb 2 23:31 00214.png -rw-r--r-- 1 root root 576416 Feb 2 23:31 00215.png -rw-r--r-- 1 root root 576411 Feb 2 23:31 00216.png -rw-r--r-- 1 root root 576354 Feb 2 23:31 00217.png -rw-r--r-- 1 root root 576660 Feb 2 23:31 00218.png -rw-r--r-- 1 root root 576215 Feb 2 23:31 00219.png -rw-r--r-- 1 root root 576236 Feb 2 23:31 00220.png -rw-r--r-- 1 root root 576548 Feb 2 23:31 00221.png -rw-r--r-- 1 root root 576884 Feb 2 23:31 00222.png -rw-r--r-- 1 root root 576205 Feb 2 23:31 00223.png -rw-r--r-- 1 root root 576370 Feb 2 23:31 00224.png -rw-r--r-- 1 root root 576862 Feb 2 23:31 00225.png -rw-r--r-- 1 root root 576553 Feb 2 23:31 00226.png -rw-r--r-- 1 root root 576868 Feb 2 23:31 00227.png -rw-r--r-- 1 root root 577099 Feb 2 23:31 00228.png -rw-r--r-- 1 root root 576888 Feb 2 23:31 00229.png -rw-r--r-- 1 root root 576403 Feb 2 23:31 00230.png -rw-r--r-- 1 root root 577185 Feb 2 23:31 00231.png -rw-r--r-- 1 root root 577220 Feb 2 23:31 00232.png -rw-r--r-- 1 root root 577227 Feb 2 23:31 00233.png -rw-r--r-- 1 root root 576746 Feb 2 23:31 00234.png -rw-r--r-- 1 root root 577589 Feb 2 23:31 00235.png -rw-r--r-- 1 root root 577343 Feb 2 23:31 00236.png -rw-r--r-- 1 root root 577176 Feb 2 23:31 00237.png -rw-r--r-- 1 root root 577073 Feb 2 23:31 00238.png -rw-r--r-- 1 root root 577253 Feb 2 23:31 00239.png -rw-r--r-- 1 root root 577176 Feb 2 23:31 00240.png -rw-r--r-- 1 root root 577502 Feb 2 23:31 00241.png -rw-r--r-- 1 root root 577231 Feb 2 23:31 00242.png -rw-r--r-- 1 root root 577239 Feb 2 23:31 00243.png -rw-r--r-- 1 root root 577395 Feb 2 23:31 00244.png -rw-r--r-- 1 root root 577475 Feb 2 23:31 00245.png -rw-r--r-- 1 root root 577245 Feb 2 23:31 00246.png -rw-r--r-- 1 root root 577432 Feb 2 23:31 00247.png -rw-r--r-- 1 root root 577833 Feb 2 23:31 00248.png -rw-r--r-- 1 root root 577570 Feb 2 23:31 00249.png -rw-r--r-- 1 root root 577518 Feb 2 23:31 00250.png -rw-r--r-- 1 root root 578078 Feb 2 23:31 00251.png -rw-r--r-- 1 root root 578416 Feb 2 23:31 00252.png -rw-r--r-- 1 root root 565449 Feb 2 23:31 00253.png -rw-r--r-- 1 root root 557960 Feb 2 23:31 00254.png -rw-r--r-- 1 root root 551059 Feb 2 23:31 00255.png -rw-r--r-- 1 root root 547989 Feb 2 23:31 00256.png -rw-r--r-- 1 root root 544256 Feb 2 23:31 00257.png -rw-r--r-- 1 root root 542871 Feb 2 23:31 00258.png -rw-r--r-- 1 root root 545402 Feb 2 23:31 00259.png -rw-r--r-- 1 root root 546649 Feb 2 23:32 00260.png -rw-r--r-- 1 root root 549493 Feb 2 23:32 00261.png -rw-r--r-- 1 root root 551599 Feb 2 23:32 00262.png -rw-r--r-- 1 root root 554921 Feb 2 23:32 00263.png -rw-r--r-- 1 root root 559236 Feb 2 23:32 00264.png -rw-r--r-- 1 root root 561155 Feb 2 23:32 00265.png -rw-r--r-- 1 root root 562267 Feb 2 23:32 00266.png -rw-r--r-- 1 root root 562690 Feb 2 23:32 00267.png -rw-r--r-- 1 root root 563750 Feb 2 23:32 00268.png -rw-r--r-- 1 root root 563941 Feb 2 23:32 00269.png -rw-r--r-- 1 root root 564385 Feb 2 23:32 00270.png -rw-r--r-- 1 root root 566873 Feb 2 23:32 00271.png -rw-r--r-- 1 root root 566853 Feb 2 23:32 00272.png -rw-r--r-- 1 root root 566503 Feb 2 23:32 00273.png -rw-r--r-- 1 root root 566640 Feb 2 23:32 00274.png -rw-r--r-- 1 root root 567440 Feb 2 23:32 00275.png -rw-r--r-- 1 root root 567217 Feb 2 23:32 00276.png -rw-r--r-- 1 root root 567284 Feb 2 23:32 00277.png -rw-r--r-- 1 root root 567890 Feb 2 23:32 00278.png -rw-r--r-- 1 root root 564956 Feb 2 23:32 00279.png -rw-r--r-- 1 root root 564057 Feb 2 23:32 00280.png -rw-r--r-- 1 root root 562197 Feb 2 23:32 00281.png -rw-r--r-- 1 root root 561259 Feb 2 23:32 00282.png -rw-r--r-- 1 root root 563226 Feb 2 23:32 00283.png -rw-r--r-- 1 root root 565655 Feb 2 23:32 00284.png -rw-r--r-- 1 root root 567688 Feb 2 23:32 00285.png -rw-r--r-- 1 root root 568852 Feb 2 23:32 00286.png -rw-r--r-- 1 root root 570183 Feb 2 23:32 00287.png -rw-r--r-- 1 root root 569860 Feb 2 23:32 00288.png -rw-r--r-- 1 root root 572013 Feb 2 23:32 00289.png -rw-r--r-- 1 root root 572790 Feb 2 23:32 00290.png -rw-r--r-- 1 root root 573729 Feb 2 23:32 00291.png -rw-r--r-- 1 root root 575031 Feb 2 23:32 00292.png -rw-r--r-- 1 root root 574613 Feb 2 23:32 00293.png -rw-r--r-- 1 root root 577212 Feb 2 23:32 00294.png -rw-r--r-- 1 root root 580328 Feb 2 23:32 00295.png -rw-r--r-- 1 root root 579337 Feb 2 23:32 00296.png -rw-r--r-- 1 root root 578615 Feb 2 23:32 00297.png -rw-r--r-- 1 root root 578674 Feb 2 23:32 00298.png -rw-r--r-- 1 root root 579586 Feb 2 23:32 00299.png -rw-r--r-- 1 root root 581842 Feb 2 23:32 00300.png -rw-r--r-- 1 root root 583713 Feb 2 23:32 00301.png -rw-r--r-- 1 root root 584719 Feb 2 23:32 00302.png -rw-r--r-- 1 root root 584737 Feb 2 23:32 00303.png -rw-r--r-- 1 root root 584998 Feb 2 23:32 00304.png -rw-r--r-- 1 root root 584910 Feb 2 23:32 00305.png -rw-r--r-- 1 root root 585402 Feb 2 23:32 00306.png -rw-r--r-- 1 root root 586436 Feb 2 23:32 00307.png -rw-r--r-- 1 root root 583548 Feb 2 23:32 00308.png -rw-r--r-- 1 root root 585504 Feb 2 23:32 00309.png -rw-r--r-- 1 root root 584671 Feb 2 23:32 00310.png -rw-r--r-- 1 root root 584393 Feb 2 23:32 00311.png -rw-r--r-- 1 root root 582613 Feb 2 23:32 00312.png -rw-r--r-- 1 root root 585212 Feb 2 23:32 00313.png -rw-r--r-- 1 root root 585828 Feb 2 23:32 00314.png -rw-r--r-- 1 root root 582371 Feb 2 23:32 00315.png -rw-r--r-- 1 root root 585624 Feb 2 23:32 00316.png -rw-r--r-- 1 root root 582902 Feb 2 23:32 00317.png -rw-r--r-- 1 root root 582260 Feb 2 23:32 00318.png -rw-r--r-- 1 root root 581501 Feb 2 23:32 00319.png -rw-r--r-- 1 root root 579367 Feb 2 23:32 00320.png -rw-r--r-- 1 root root 581160 Feb 2 23:32 00321.png -rw-r--r-- 1 root root 577669 Feb 2 23:32 00322.png -rw-r--r-- 1 root root 578698 Feb 2 23:32 00323.png -rw-r--r-- 1 root root 578428 Feb 2 23:32 00324.png -rw-r--r-- 1 root root 578721 Feb 2 23:32 00325.png -rw-r--r-- 1 root root 578814 Feb 2 23:32 00326.png -rw-r--r-- 1 root root 579110 Feb 2 23:32 00327.png -rw-r--r-- 1 root root 582041 Feb 2 23:32 00328.png -rw-r--r-- 1 root root 579033 Feb 2 23:32 00329.png -rw-r--r-- 1 root root 579903 Feb 2 23:32 00330.png -rw-r--r-- 1 root root 580021 Feb 2 23:32 00331.png -rw-r--r-- 1 root root 580496 Feb 2 23:32 00332.png -rw-r--r-- 1 root root 580275 Feb 2 23:32 00333.png -rw-r--r-- 1 root root 579995 Feb 2 23:32 00334.png -rw-r--r-- 1 root root 580238 Feb 2 23:32 00335.png -rw-r--r-- 1 root root 580995 Feb 2 23:32 00336.png -rw-r--r-- 1 root root 580799 Feb 2 23:32 00337.png -rw-r--r-- 1 root root 581200 Feb 2 23:32 00338.png -rw-r--r-- 1 root root 581649 Feb 2 23:32 00339.png -rw-r--r-- 1 root root 582183 Feb 2 23:32 00340.png -rw-r--r-- 1 root root 583626 Feb 2 23:32 00341.png -rw-r--r-- 1 root root 583811 Feb 2 23:32 00342.png -rw-r--r-- 1 root root 584330 Feb 2 23:32 00343.png -rw-r--r-- 1 root root 586181 Feb 2 23:32 00344.png -rw-r--r-- 1 root root 587350 Feb 2 23:32 00345.png -rw-r--r-- 1 root root 584059 Feb 2 23:32 00346.png -rw-r--r-- 1 root root 584659 Feb 2 23:32 00347.png -rw-r--r-- 1 root root 584306 Feb 2 23:32 00348.png -rw-r--r-- 1 root root 584812 Feb 2 23:32 00349.png -rw-r--r-- 1 root root 585341 Feb 2 23:32 00350.png -rw-r--r-- 1 root root 584877 Feb 2 23:32 00351.png -rw-r--r-- 1 root root 585693 Feb 2 23:32 00352.png -rw-r--r-- 1 root root 585294 Feb 2 23:32 00353.png -rw-r--r-- 1 root root 585131 Feb 2 23:32 00354.png -rw-r--r-- 1 root root 584682 Feb 2 23:32 00355.png -rw-r--r-- 1 root root 584825 Feb 2 23:32 00356.png -rw-r--r-- 1 root root 584723 Feb 2 23:32 00357.png -rw-r--r-- 1 root root 584545 Feb 2 23:32 00358.png -rw-r--r-- 1 root root 584509 Feb 2 23:32 00359.png -rw-r--r-- 1 root root 584395 Feb 2 23:33 00360.png -rw-r--r-- 1 root root 584281 Feb 2 23:33 00361.png -rw-r--r-- 1 root root 584094 Feb 2 23:33 00362.png -rw-r--r-- 1 root root 584543 Feb 2 23:33 00363.png -rw-r--r-- 1 root root 584972 Feb 2 23:33 00364.png -rw-r--r-- 1 root root 585724 Feb 2 23:33 00365.png -rw-r--r-- 1 root root 587330 Feb 2 23:33 00366.png -rw-r--r-- 1 root root 584598 Feb 2 23:33 00367.png -rw-r--r-- 1 root root 584062 Feb 2 23:33 00368.png -rw-r--r-- 1 root root 584221 Feb 2 23:33 00369.png -rw-r--r-- 1 root root 583682 Feb 2 23:33 00370.png -rw-r--r-- 1 root root 583754 Feb 2 23:33 00371.png -rw-r--r-- 1 root root 583320 Feb 2 23:33 00372.png -rw-r--r-- 1 root root 582249 Feb 2 23:33 00373.png -rw-r--r-- 1 root root 582030 Feb 2 23:33 00374.png -rw-r--r-- 1 root root 580114 Feb 2 23:33 00375.png -rw-r--r-- 1 root root 578948 Feb 2 23:33 00376.png -rw-r--r-- 1 root root 579604 Feb 2 23:33 00377.png -rw-r--r-- 1 root root 579975 Feb 2 23:33 00378.png -rw-r--r-- 1 root root 575505 Feb 2 23:33 00379.png -rw-r--r-- 1 root root 575529 Feb 2 23:33 00380.png -rw-r--r-- 1 root root 567098 Feb 2 23:33 00381.png -rw-r--r-- 1 root root 563017 Feb 2 23:33 00382.png -rw-r--r-- 1 root root 564154 Feb 2 23:33 00383.png -rw-r--r-- 1 root root 566163 Feb 2 23:33 00384.png -rw-r--r-- 1 root root 568635 Feb 2 23:33 00385.png -rw-r--r-- 1 root root 572308 Feb 2 23:33 00386.png -rw-r--r-- 1 root root 580724 Feb 2 23:33 00387.png -rw-r--r-- 1 root root 583229 Feb 2 23:33 00388.png -rw-r--r-- 1 root root 601528 Feb 2 23:33 00389.png -rw-r--r-- 1 root root 596949 Feb 2 23:33 00390.png -rw-r--r-- 1 root root 600123 Feb 2 23:33 00391.png -rw-r--r-- 1 root root 601006 Feb 2 23:33 00392.png -rw-r--r-- 1 root root 606135 Feb 2 23:33 00393.png -rw-r--r-- 1 root root 609044 Feb 2 23:33 00394.png -rw-r--r-- 1 root root 610558 Feb 2 23:33 00395.png -rw-r--r-- 1 root root 612036 Feb 2 23:33 00396.png -rw-r--r-- 1 root root 610808 Feb 2 23:33 00397.png -rw-r--r-- 1 root root 607497 Feb 2 23:33 00398.png -rw-r--r-- 1 root root 602517 Feb 2 23:33 00399.png -rw-r--r-- 1 root root 604463 Feb 2 23:33 00400.png -rw-r--r-- 1 root root 605734 Feb 2 23:33 00401.png -rw-r--r-- 1 root root 603601 Feb 2 23:33 00402.png -rw-r--r-- 1 root root 603019 Feb 2 23:33 00403.png -rw-r--r-- 1 root root 604810 Feb 2 23:33 00404.png -rw-r--r-- 1 root root 605637 Feb 2 23:33 00405.png -rw-r--r-- 1 root root 606099 Feb 2 23:33 00406.png -rw-r--r-- 1 root root 606812 Feb 2 23:33 00407.png -rw-r--r-- 1 root root 609387 Feb 2 23:33 00408.png -rw-r--r-- 1 root root 609353 Feb 2 23:33 00409.png -rw-r--r-- 1 root root 611562 Feb 2 23:33 00410.png -rw-r--r-- 1 root root 615522 Feb 2 23:33 00411.png -rw-r--r-- 1 root root 617092 Feb 2 23:33 00412.png -rw-r--r-- 1 root root 618261 Feb 2 23:33 00413.png -rw-r--r-- 1 root root 619671 Feb 2 23:33 00414.png -rw-r--r-- 1 root root 620492 Feb 2 23:33 00415.png -rw-r--r-- 1 root root 621945 Feb 2 23:33 00416.png -rw-r--r-- 1 root root 623344 Feb 2 23:33 00417.png -rw-r--r-- 1 root root 624928 Feb 2 23:33 00418.png -rw-r--r-- 1 root root 624171 Feb 2 23:33 00419.png -rw-r--r-- 1 root root 626545 Feb 2 23:33 00420.png -rw-r--r-- 1 root root 624643 Feb 2 23:33 00421.png -rw-r--r-- 1 root root 630395 Feb 2 23:33 00422.png -rw-r--r-- 1 root root 622722 Feb 2 23:33 00423.png -rw-r--r-- 1 root root 620727 Feb 2 23:33 00424.png -rw-r--r-- 1 root root 624627 Feb 2 23:33 00425.png -rw-r--r-- 1 root root 625768 Feb 2 23:33 00426.png -rw-r--r-- 1 root root 627105 Feb 2 23:33 00427.png -rw-r--r-- 1 root root 627144 Feb 2 23:33 00428.png -rw-r--r-- 1 root root 628893 Feb 2 23:33 00429.png -rw-r--r-- 1 root root 632565 Feb 2 23:33 00430.png -rw-r--r-- 1 root root 633833 Feb 2 23:33 00431.png -rw-r--r-- 1 root root 636022 Feb 2 23:33 00432.png -rw-r--r-- 1 root root 629537 Feb 2 23:33 00433.png -rw-r--r-- 1 root root 628166 Feb 2 23:33 00434.png -rw-r--r-- 1 root root 628241 Feb 2 23:33 00435.png -rw-r--r-- 1 root root 630182 Feb 2 23:33 00436.png -rw-r--r-- 1 root root 630023 Feb 2 23:33 00437.png -rw-r--r-- 1 root root 628492 Feb 2 23:33 00438.png -rw-r--r-- 1 root root 630982 Feb 2 23:33 00439.png -rw-r--r-- 1 root root 631687 Feb 2 23:33 00440.png -rw-r--r-- 1 root root 627716 Feb 2 23:33 00441.png -rw-r--r-- 1 root root 626869 Feb 2 23:33 00442.png -rw-r--r-- 1 root root 628364 Feb 2 23:33 00443.png -rw-r--r-- 1 root root 628817 Feb 2 23:33 00444.png -rw-r--r-- 1 root root 629917 Feb 2 23:33 00445.png -rw-r--r-- 1 root root 634361 Feb 2 23:33 00446.png -rw-r--r-- 1 root root 633148 Feb 2 23:33 00447.png -rw-r--r-- 1 root root 629847 Feb 2 23:33 00448.png -rw-r--r-- 1 root root 634532 Feb 2 23:33 00449.png -rw-r--r-- 1 root root 631263 Feb 2 23:33 00450.png -rw-r--r-- 1 root root 632030 Feb 2 23:33 00451.png -rw-r--r-- 1 root root 632401 Feb 2 23:33 00452.png -rw-r--r-- 1 root root 631546 Feb 2 23:33 00453.png -rw-r--r-- 1 root root 630970 Feb 2 23:33 00454.png -rw-r--r-- 1 root root 629561 Feb 2 23:33 00455.png -rw-r--r-- 1 root root 628234 Feb 2 23:33 00456.png -rw-r--r-- 1 root root 628233 Feb 2 23:33 00457.png -rw-r--r-- 1 root root 627269 Feb 2 23:33 00458.png -rw-r--r-- 1 root root 626383 Feb 2 23:33 00459.png -rw-r--r-- 1 root root 627239 Feb 2 23:33 00460.png -rw-r--r-- 1 root root 623336 Feb 2 23:33 00461.png -rw-r--r-- 1 root root 624070 Feb 2 23:33 00462.png -rw-r--r-- 1 root root 624609 Feb 2 23:33 00463.png -rw-r--r-- 1 root root 626396 Feb 2 23:33 00464.png -rw-r--r-- 1 root root 626453 Feb 2 23:33 00465.png -rw-r--r-- 1 root root 626788 Feb 2 23:33 00466.png -rw-r--r-- 1 root root 627678 Feb 2 23:33 00467.png -rw-r--r-- 1 root root 629396 Feb 2 23:33 00468.png -rw-r--r-- 1 root root 628988 Feb 2 23:33 00469.png -rw-r--r-- 1 root root 629721 Feb 2 23:34 00470.png -rw-r--r-- 1 root root 629727 Feb 2 23:34 00471.png -rw-r--r-- 1 root root 630420 Feb 2 23:34 00472.png -rw-r--r-- 1 root root 631081 Feb 2 23:34 00473.png -rw-r--r-- 1 root root 631629 Feb 2 23:34 00474.png -rw-r--r-- 1 root root 631133 Feb 2 23:34 00475.png -rw-r--r-- 1 root root 632502 Feb 2 23:34 00476.png -rw-r--r-- 1 root root 632323 Feb 2 23:34 00477.png -rw-r--r-- 1 root root 631916 Feb 2 23:34 00478.png -rw-r--r-- 1 root root 632414 Feb 2 23:34 00479.png -rw-r--r-- 1 root root 632463 Feb 2 23:34 00480.png -rw-r--r-- 1 root root 633504 Feb 2 23:34 00481.png -rw-r--r-- 1 root root 633196 Feb 2 23:34 00482.png -rw-r--r-- 1 root root 633980 Feb 2 23:34 00483.png -rw-r--r-- 1 root root 634317 Feb 2 23:34 00484.png -rw-r--r-- 1 root root 633583 Feb 2 23:34 00485.png -rw-r--r-- 1 root root 633021 Feb 2 23:34 00486.png -rw-r--r-- 1 root root 633383 Feb 2 23:34 00487.png -rw-r--r-- 1 root root 634554 Feb 2 23:34 00488.png -rw-r--r-- 1 root root 633971 Feb 2 23:34 00489.png -rw-r--r-- 1 root root 634399 Feb 2 23:34 00490.png -rw-r--r-- 1 root root 633414 Feb 2 23:34 00491.png -rw-r--r-- 1 root root 632832 Feb 2 23:34 00492.png -rw-r--r-- 1 root root 634478 Feb 2 23:34 00493.png -rw-r--r-- 1 root root 634856 Feb 2 23:34 00494.png -rw-r--r-- 1 root root 634283 Feb 2 23:34 00495.png -rw-r--r-- 1 root root 634470 Feb 2 23:34 00496.png -rw-r--r-- 1 root root 635124 Feb 2 23:34 00497.png -rw-r--r-- 1 root root 634219 Feb 2 23:34 00498.png -rw-r--r-- 1 root root 634359 Feb 2 23:34 00499.png Thu Feb 2 23:34:12 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 NVIDIA A100-SXM... Off | 00000000:00:04.0 Off | 0 | | N/A 46C P0 192W / 350W | 37514MiB / 40960MiB | 3% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 525553 C 37511MiB | +-----------------------------------------------------------------------------+ total time 293.2892234325409 ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers built with gcc 11 (Ubuntu 11.2.0-19ubuntu1) configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared libavutil 56. 70.100 / 56. 70.100 libavcodec 58.134.100 / 58.134.100 libavformat 58. 76.100 / 58. 76.100 libavdevice 58. 13.100 / 58. 13.100 libavfilter 7.110.100 / 7.110.100 libswscale 5. 9.100 / 5. 9.100 libswresample 3. 9.100 / 3. 9.100 libpostproc 55. 9.100 / 55. 9.100 [image2 @ 0x562d22c0b680] Pattern type 'glob_sequence' is deprecated: use pattern_type 'glob' instead Input #0, image2, from './outputs/%*.png': Duration: 00:00:20.00, start: 0.000000, bitrate: N/A Stream #0:0: Video: png, rgb24(pc), 512x512, 25 fps, 25 tbr, 25 tbn, 25 tbc Guessed Channel Layout for Input Stream #1.0 : mono Input #1, aiff, from '/tmp/tmp2igpf6z5racingcar.aif': Duration: 00:00:31.52, start: 0.000000, bitrate: 1058 kb/s Stream #1:0: Audio: pcm_s24be, 44100 Hz, mono, s32 (24 bit), 1058 kb/s Stream mapping: Stream #0:0 -> #0:0 (png (native) -> h264 (libx264)) Stream #1:0 -> #0:1 (pcm_s24be (native) -> aac (native)) Press [q] to stop, [?] for help [image2 @ 0x562d22c0b680] Thread message queue blocking; consider raising the thread_queue_size option (current value: 8) [libx264 @ 0x562d22c5af40] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512 [libx264 @ 0x562d22c5af40] profile High, level 2.2, 4:2:0, 8-bit [libx264 @ 0x562d22c5af40] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=5 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=8 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=2 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=3 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=16 scenecut=40 intra_refresh=0 rc_lookahead=50 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mp4, to '/tmp/z_interpollation.mp4': Metadata: encoder : Lavf58.76.100 Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 512x512, q=2-31, 16 fps, 16384 tbn Metadata: encoder : Lavc58.134.100 libx264 Side data: cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp (24 bit), 69 kb/s Metadata: encoder : Lavc58.134.100 aac frame= 1 fps=0.0 q=0.0 size= 0kB time=00:00:00.00 bitrate=N/A speed= 0x frame= 86 fps=0.0 q=24.0 size= 256kB time=00:00:00.81 bitrate=2581.0kbits/s speed=1.49x frame= 127 fps=118 q=24.0 size= 1024kB time=00:00:03.37 bitrate=2485.6kbits/s speed=3.15x frame= 176 fps=108 q=24.0 size= 2048kB time=00:00:06.43 bitrate=2606.2kbits/s speed=3.96x frame= 210 fps= 98 q=24.0 size= 3072kB time=00:00:08.56 bitrate=2939.1kbits/s speed=4.01x frame= 271 fps= 99 q=24.0 size= 4096kB time=00:00:12.37 bitrate=2711.5kbits/s speed=4.52x frame= 338 fps=104 q=24.0 size= 4608kB time=00:00:16.56 bitrate=2279.2kbits/s speed=5.12x frame= 374 fps= 99 q=24.0 size= 5376kB time=00:00:18.81 bitrate=2341.0kbits/s speed=4.98x frame= 438 fps=102 q=24.0 size= 6400kB time=00:00:22.81 bitrate=2298.3kbits/s speed=5.32x frame= 469 fps= 98 q=24.0 size= 7424kB time=00:00:24.75 bitrate=2457.0kbits/s speed=5.16x [mp4 @ 0x562d22c59840] Starting second pass: moving the moov atom to the beginning of the file frame= 500 fps= 82 q=-1.0 Lsize= 10507kB time=00:00:31.23 bitrate=2756.0kbits/s speed=5.15x video:10236kB audio:251kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.188330% [libx264 @ 0x562d22c5af40] frame I:5 Avg QP:19.09 size:100921 [libx264 @ 0x562d22c5af40] frame P:165 Avg QP:20.09 size: 37877 [libx264 @ 0x562d22c5af40] frame B:330 Avg QP:24.71 size: 11292 [libx264 @ 0x562d22c5af40] consecutive B-frames: 7.2% 10.4% 12.0% 70.4% [libx264 @ 0x562d22c5af40] mb I I16..4: 0.3% 61.3% 38.4% [libx264 @ 0x562d22c5af40] mb P I16..4: 0.0% 4.5% 2.0% P16..4: 56.5% 15.3% 14.2% 0.0% 0.0% skip: 7.5% [libx264 @ 0x562d22c5af40] mb B I16..4: 0.0% 0.5% 0.3% B16..8: 27.1% 5.8% 3.9% direct:16.1% skip:46.4% L0:39.7% L1:43.9% BI:16.4% [libx264 @ 0x562d22c5af40] 8x8 transform intra:64.9% inter:37.1% [libx264 @ 0x562d22c5af40] direct mvs spatial:97.3% temporal:2.7% [libx264 @ 0x562d22c5af40] coded y,uvDC,uvAC intra: 99.3% 94.1% 74.6% inter: 44.1% 35.8% 3.3% [libx264 @ 0x562d22c5af40] i16 v,h,dc,p: 53% 9% 16% 22% [libx264 @ 0x562d22c5af40] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 7% 14% 25% 9% 7% 7% 10% 8% 12% [libx264 @ 0x562d22c5af40] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 6% 9% 18% 11% 11% 10% 12% 10% 13% [libx264 @ 0x562d22c5af40] i8c dc,h,v,p: 31% 34% 15% 20% [libx264 @ 0x562d22c5af40] Weighted P-Frames: Y:18.2% UV:15.2% [libx264 @ 0x562d22c5af40] ref P L0: 58.3% 21.0% 11.4% 4.5% 3.7% 1.0% 0.1% [libx264 @ 0x562d22c5af40] ref B L0: 73.8% 18.0% 6.2% 2.1% [libx264 @ 0x562d22c5af40] ref B L1: 93.5% 6.5% [libx264 @ 0x562d22c5af40] kb/s:2683.02 [aac @ 0x562d22c5c980] Qavg: 3889.227 ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers built with gcc 11 (Ubuntu 11.2.0-19ubuntu1) configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared libavutil 56. 70.100 / 56. 70.100 libavcodec 58.134.100 / 58.134.100 libavformat 58. 76.100 / 58. 76.100 libavdevice 58. 13.100 / 58. 13.100 libavfilter 7.110.100 / 7.110.100 libswscale 5. 9.100 / 5. 9.100 libswresample 3. 9.100 / 3. 9.100 libpostproc 55. 9.100 / 55. 9.100 Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/z_interpollation.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf58.76.100 Duration: 00:00:31.26, start: 0.000000, bitrate: 2753 kb/s Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 512x512, 2683 kb/s, 16 fps, 16 tbr, 16384 tbn, 32 tbc (default) Metadata: handler_name : VideoHandler vendor_id : [0][0][0][0] Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 65 kb/s (default) Metadata: handler_name : SoundHandler vendor_id : [0][0][0][0] Stream mapping: Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264)) Stream #0:1 -> #0:1 (aac (native) -> aac (native)) Press [q] to stop, [?] for help [libx264 @ 0x55ac13ddda80] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512 [libx264 @ 0x55ac13ddda80] profile High, level 3.1, 4:2:0, 8-bit [libx264 @ 0x55ac13ddda80] 264 - core 163 r3060 5db6aa6 - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=16 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00 Output #0, mp4, to '/tmp/z_interpollation_40fps.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf58.76.100 Stream #0:0(und): Video: h264 (avc1 / 0x31637661), yuv420p(progressive), 512x512, q=2-31, 40 fps, 10240 tbn (default) Metadata: handler_name : VideoHandler vendor_id : [0][0][0][0] encoder : Lavc58.134.100 libx264 Side data: cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 69 kb/s (default) Metadata: handler_name : SoundHandler vendor_id : [0][0][0][0] encoder : Lavc58.134.100 aac frame= 3 fps=0.0 q=0.0 size= 0kB time=00:00:00.81 bitrate= 0.5kbits/s speed=13.5x frame= 8 fps=0.0 q=0.0 size= 0kB time=00:00:00.97 bitrate= 0.4kbits/s speed= 1.6x frame= 16 fps= 14 q=0.0 size= 0kB time=00:00:01.16 bitrate= 0.3kbits/s speed= 1x frame= 23 fps= 14 q=0.0 size= 0kB time=00:00:01.34 bitrate= 0.3kbits/s speed=0.791x frame= 31 fps= 14 q=0.0 size= 0kB time=00:00:01.53 bitrate= 0.3kbits/s speed=0.686x frame= 38 fps= 14 q=0.0 size= 0kB time=00:00:01.71 bitrate= 0.2kbits/s speed=0.619x frame= 46 fps= 14 q=0.0 size= 0kB time=00:00:01.90 bitrate= 0.2kbits/s speed=0.576x frame= 53 fps= 14 q=0.0 size= 0kB time=00:00:02.08 bitrate= 0.2kbits/s speed=0.543x frame= 61 fps= 14 q=30.0 size= 0kB time=00:00:02.27 bitrate= 0.2kbits/s speed=0.516x frame= 68 fps= 14 q=30.0 size= 0kB time=00:00:02.46 bitrate= 0.2kbits/s speed=0.497x frame= 76 fps= 14 q=30.0 size= 0kB time=00:00:02.64 bitrate= 0.1kbits/s speed=0.483x frame= 83 fps= 14 q=30.0 size= 0kB time=00:00:02.83 bitrate= 0.1kbits/s speed=0.471x frame= 91 fps= 14 q=30.0 size= 0kB time=00:00:03.01 bitrate= 0.1kbits/s speed=0.461x frame= 98 fps= 14 q=30.0 size= 0kB time=00:00:03.20 bitrate= 0.1kbits/s speed=0.452x frame= 106 fps= 14 q=30.0 size= 0kB time=00:00:03.41 bitrate= 0.1kbits/s speed=0.447x frame= 113 fps= 14 q=30.0 size= 0kB time=00:00:03.59 bitrate= 0.1kbits/s speed=0.439x frame= 121 fps= 14 q=30.0 size= 256kB time=00:00:03.78 bitrate= 554.2kbits/s speed=0.433x frame= 128 fps= 14 q=30.0 size= 256kB time=00:00:03.97 bitrate= 528.3kbits/s speed=0.428x frame= 136 fps= 14 q=30.0 size= 256kB time=00:00:04.15 bitrate= 504.7kbits/s speed=0.423x frame= 143 fps= 14 q=30.0 size= 256kB time=00:00:04.34 bitrate= 483.1kbits/s speed=0.419x frame= 151 fps= 14 q=30.0 size= 256kB time=00:00:04.52 bitrate= 463.2kbits/s speed=0.414x frame= 158 fps= 14 q=30.0 size= 256kB time=00:00:04.71 bitrate= 445.0kbits/s speed=0.411x frame= 166 fps= 14 q=30.0 size= 256kB time=00:00:04.89 bitrate= 428.1kbits/s speed=0.408x frame= 173 fps= 14 q=30.0 size= 512kB time=00:00:05.08 bitrate= 824.9kbits/s speed=0.405x frame= 181 fps= 14 q=30.0 size= 512kB time=00:00:05.27 bitrate= 795.8kbits/s speed=0.403x frame= 188 fps= 14 q=30.0 size= 512kB time=00:00:05.45 bitrate= 768.7kbits/s speed=0.401x frame= 196 fps= 14 q=30.0 size= 512kB time=00:00:05.64 bitrate= 743.4kbits/s speed=0.399x frame= 203 fps= 14 q=30.0 size= 768kB time=00:00:05.85 bitrate=1075.3kbits/s speed=0.398x frame= 211 fps= 14 q=30.0 size= 768kB time=00:00:06.03 bitrate=1042.2kbits/s speed=0.396x frame= 218 fps= 14 q=30.0 size= 768kB time=00:00:06.22 bitrate=1011.1kbits/s speed=0.394x frame= 226 fps= 14 q=30.0 size= 768kB time=00:00:06.40 bitrate= 981.8kbits/s speed=0.392x frame= 233 fps= 14 q=30.0 size= 768kB time=00:00:06.59 bitrate= 954.1kbits/s speed=0.39x frame= 241 fps= 14 q=30.0 size= 768kB time=00:00:06.78 bitrate= 928.0kbits/s speed=0.389x frame= 248 fps= 14 q=30.0 size= 768kB time=00:00:06.96 bitrate= 903.2kbits/s speed=0.388x frame= 256 fps= 14 q=30.0 size= 768kB time=00:00:07.15 bitrate= 879.8kbits/s speed=0.386x frame= 263 fps= 14 q=30.0 size= 768kB time=00:00:07.33 bitrate= 857.5kbits/s speed=0.384x frame= 271 fps= 14 q=30.0 size= 1024kB time=00:00:07.52 bitrate=1115.1kbits/s speed=0.383x frame= 278 fps= 14 q=30.0 size= 1024kB time=00:00:07.70 bitrate=1088.2kbits/s speed=0.382x frame= 286 fps= 14 q=30.0 size= 1024kB time=00:00:07.89 bitrate=1062.6kbits/s speed=0.381x frame= 293 fps= 14 q=30.0 size= 1024kB time=00:00:08.08 bitrate=1038.2kbits/s speed=0.38x frame= 301 fps= 14 q=30.0 size= 1280kB time=00:00:08.26 bitrate=1268.5kbits/s speed=0.379x frame= 308 fps= 14 q=30.0 size= 1280kB time=00:00:08.47 bitrate=1237.3kbits/s speed=0.378x frame= 316 fps= 14 q=30.0 size= 1280kB time=00:00:08.66 bitrate=1210.7kbits/s speed=0.378x frame= 323 fps= 14 q=30.0 size= 1536kB time=00:00:08.84 bitrate=1422.4kbits/s speed=0.377x frame= 331 fps= 14 q=30.0 size= 1536kB time=00:00:09.03 bitrate=1393.1kbits/s speed=0.376x frame= 338 fps= 14 q=30.0 size= 1536kB time=00:00:09.21 bitrate=1365.0kbits/s speed=0.375x frame= 346 fps= 14 q=30.0 size= 1536kB time=00:00:09.40 bitrate=1338.1kbits/s speed=0.374x frame= 353 fps= 14 q=30.0 size= 1536kB time=00:00:09.58 bitrate=1312.1kbits/s speed=0.373x frame= 361 fps= 14 q=30.0 size= 1536kB time=00:00:09.77 bitrate=1287.2kbits/s speed=0.373x frame= 368 fps= 14 q=30.0 size= 1536kB time=00:00:09.96 bitrate=1263.2kbits/s speed=0.372x frame= 376 fps= 14 q=30.0 size= 1792kB time=00:00:10.14 bitrate=1446.8kbits/s speed=0.371x frame= 383 fps= 14 q=30.0 size= 1792kB time=00:00:10.33 bitrate=1420.8kbits/s speed=0.371x frame= 391 fps= 14 q=30.0 size= 1792kB time=00:00:10.51 bitrate=1395.7kbits/s speed=0.37x frame= 398 fps= 14 q=30.0 size= 1792kB time=00:00:10.70 bitrate=1371.4kbits/s speed=0.37x frame= 406 fps= 14 q=30.0 size= 2048kB time=00:00:10.91 bitrate=1537.3kbits/s speed=0.37x frame= 413 fps= 14 q=30.0 size= 2048kB time=00:00:11.09 bitrate=1511.6kbits/s speed=0.37x frame= 421 fps= 14 q=30.0 size= 2048kB time=00:00:11.28 bitrate=1486.7kbits/s speed=0.369x frame= 428 fps= 14 q=30.0 size= 2048kB time=00:00:11.47 bitrate=1462.7kbits/s speed=0.369x frame= 436 fps= 14 q=30.0 size= 2304kB time=00:00:11.65 bitrate=1619.3kbits/s speed=0.368x frame= 443 fps= 14 q=30.0 size= 2304kB time=00:00:11.84 bitrate=1593.9kbits/s speed=0.368x frame= 451 fps= 14 q=30.0 size= 2304kB time=00:00:12.02 bitrate=1569.2kbits/s speed=0.367x frame= 458 fps= 14 q=30.0 size= 2304kB time=00:00:12.21 bitrate=1545.4kbits/s speed=0.367x frame= 466 fps= 14 q=30.0 size= 2304kB time=00:00:12.39 bitrate=1522.2kbits/s speed=0.367x frame= 473 fps= 14 q=30.0 size= 2304kB time=00:00:12.58 bitrate=1499.8kbits/s speed=0.366x frame= 481 fps= 14 q=30.0 size= 2304kB time=00:00:12.77 bitrate=1477.9kbits/s speed=0.366x frame= 488 fps= 14 q=30.0 size= 2560kB time=00:00:12.95 bitrate=1618.6kbits/s speed=0.366x frame= 496 fps= 14 q=30.0 size= 2560kB time=00:00:13.14 bitrate=1595.7kbits/s speed=0.365x frame= 503 fps= 14 q=30.0 size= 2560kB time=00:00:13.35 bitrate=1570.8kbits/s speed=0.365x frame= 511 fps= 14 q=30.0 size= 2560kB time=00:00:13.53 bitrate=1549.2kbits/s speed=0.365x frame= 518 fps= 14 q=30.0 size= 2560kB time=00:00:13.72 bitrate=1528.2kbits/s speed=0.365x frame= 526 fps= 14 q=30.0 size= 2560kB time=00:00:13.90 bitrate=1507.8kbits/s speed=0.365x frame= 533 fps= 14 q=30.0 size= 2560kB time=00:00:14.09 bitrate=1487.9kbits/s speed=0.365x frame= 541 fps= 14 q=30.0 size= 2560kB time=00:00:14.28 bitrate=1468.6kbits/s speed=0.364x frame= 548 fps= 14 q=30.0 size= 2560kB time=00:00:14.46 bitrate=1449.7kbits/s speed=0.364x frame= 556 fps= 14 q=30.0 size= 2560kB time=00:00:14.65 bitrate=1431.4kbits/s speed=0.364x frame= 563 fps= 14 q=30.0 size= 2816kB time=00:00:14.83 bitrate=1554.8kbits/s speed=0.364x frame= 571 fps= 14 q=30.0 size= 2816kB time=00:00:15.02 bitrate=1535.6kbits/s speed=0.363x frame= 578 fps= 14 q=30.0 size= 2816kB time=00:00:15.20 bitrate=1516.8kbits/s speed=0.363x frame= 586 fps= 14 q=30.0 size= 2816kB time=00:00:15.39 bitrate=1498.5kbits/s speed=0.363x frame= 593 fps= 14 q=30.0 size= 2816kB time=00:00:15.58 bitrate=1480.6kbits/s speed=0.363x frame= 601 fps= 14 q=30.0 size= 2816kB time=00:00:15.76 bitrate=1463.2kbits/s speed=0.363x frame= 608 fps= 14 q=30.0 size= 2816kB time=00:00:15.97 bitrate=1444.0kbits/s speed=0.363x frame= 616 fps= 14 q=30.0 size= 2816kB time=00:00:16.16 bitrate=1427.4kbits/s speed=0.363x frame= 623 fps= 14 q=30.0 size= 2816kB time=00:00:16.34 bitrate=1411.2kbits/s speed=0.363x frame= 631 fps= 14 q=30.0 size= 2816kB time=00:00:16.53 bitrate=1395.4kbits/s speed=0.363x frame= 638 fps= 14 q=30.0 size= 2816kB time=00:00:16.71 bitrate=1379.9kbits/s speed=0.362x frame= 646 fps= 14 q=30.0 size= 2816kB time=00:00:16.90 bitrate=1364.7kbits/s speed=0.362x frame= 653 fps= 14 q=30.0 size= 2816kB time=00:00:17.08 bitrate=1349.9kbits/s speed=0.362x frame= 661 fps= 14 q=30.0 size= 3072kB time=00:00:17.27 bitrate=1456.7kbits/s speed=0.362x frame= 668 fps= 14 q=30.0 size= 3072kB time=00:00:17.46 bitrate=1441.2kbits/s speed=0.362x frame= 676 fps= 14 q=30.0 size= 3072kB time=00:00:17.64 bitrate=1426.1kbits/s speed=0.361x frame= 683 fps= 14 q=30.0 size= 3072kB time=00:00:17.83 bitrate=1411.2kbits/s speed=0.361x frame= 691 fps= 14 q=30.0 size= 3072kB time=00:00:18.01 bitrate=1396.7kbits/s speed=0.361x frame= 698 fps= 14 q=30.0 size= 3072kB time=00:00:18.20 bitrate=1382.4kbits/s speed=0.361x frame= 706 fps= 14 q=30.0 size= 3072kB time=00:00:18.41 bitrate=1366.7kbits/s speed=0.361x frame= 713 fps= 14 q=30.0 size= 3072kB time=00:00:18.59 bitrate=1353.1kbits/s speed=0.361x frame= 721 fps= 14 q=30.0 size= 3072kB time=00:00:18.78 bitrate=1339.7kbits/s speed=0.36x frame= 728 fps= 14 q=30.0 size= 3328kB time=00:00:18.97 bitrate=1437.1kbits/s speed=0.36x frame= 736 fps= 14 q=30.0 size= 3328kB time=00:00:19.15 bitrate=1423.2kbits/s speed=0.36x frame= 743 fps= 14 q=30.0 size= 3328kB time=00:00:19.34 bitrate=1409.5kbits/s speed=0.36x frame= 751 fps= 14 q=30.0 size= 3328kB time=00:00:19.52 bitrate=1396.1kbits/s speed=0.359x frame= 758 fps= 14 q=30.0 size= 3328kB time=00:00:19.71 bitrate=1383.0kbits/s speed=0.359x frame= 766 fps= 14 q=30.0 size= 3328kB time=00:00:19.89 bitrate=1370.1kbits/s speed=0.359x frame= 773 fps= 14 q=30.0 size= 3328kB time=00:00:20.08 bitrate=1357.4kbits/s speed=0.359x frame= 781 fps= 14 q=30.0 size= 3584kB time=00:00:20.27 bitrate=1448.4kbits/s speed=0.359x frame= 788 fps= 14 q=30.0 size= 3584kB time=00:00:20.45 bitrate=1435.2kbits/s speed=0.358x frame= 796 fps= 14 q=27.0 size= 3584kB time=00:00:20.64 bitrate=1422.3kbits/s speed=0.358x frame= 803 fps= 14 q=30.0 size= 3584kB time=00:00:20.85 bitrate=1408.1kbits/s speed=0.358x frame= 811 fps= 14 q=30.0 size= 3840kB time=00:00:21.03 bitrate=1495.3kbits/s speed=0.358x frame= 818 fps= 14 q=30.0 size= 3840kB time=00:00:21.22 bitrate=1482.2kbits/s speed=0.358x frame= 826 fps= 14 q=30.0 size= 3840kB time=00:00:21.40 bitrate=1469.4kbits/s speed=0.358x frame= 833 fps= 14 q=30.0 size= 3840kB time=00:00:21.59 bitrate=1456.7kbits/s speed=0.358x frame= 841 fps= 14 q=30.0 size= 3840kB time=00:00:21.78 bitrate=1444.3kbits/s speed=0.358x frame= 848 fps= 14 q=30.0 size= 3840kB time=00:00:21.96 bitrate=1432.1kbits/s speed=0.357x frame= 856 fps= 14 q=30.0 size= 4096kB time=00:00:22.15 bitrate=1514.8kbits/s speed=0.357x frame= 863 fps= 14 q=30.0 size= 4096kB time=00:00:22.33 bitrate=1502.2kbits/s speed=0.357x frame= 871 fps= 14 q=30.0 size= 4096kB time=00:00:22.52 bitrate=1489.8kbits/s speed=0.357x frame= 878 fps= 14 q=30.0 size= 4096kB time=00:00:22.70 bitrate=1477.6kbits/s speed=0.357x frame= 886 fps= 14 q=30.0 size= 4096kB time=00:00:22.89 bitrate=1465.6kbits/s speed=0.357x frame= 893 fps= 14 q=30.0 size= 4096kB time=00:00:23.08 bitrate=1453.8kbits/s speed=0.357x frame= 901 fps= 14 q=30.0 size= 4096kB time=00:00:23.26 bitrate=1442.2kbits/s speed=0.357x frame= 908 fps= 14 q=30.0 size= 4096kB time=00:00:23.47 bitrate=1429.4kbits/s speed=0.357x frame= 916 fps= 14 q=30.0 size= 4096kB time=00:00:23.66 bitrate=1418.1kbits/s speed=0.357x frame= 923 fps= 14 q=30.0 size= 4096kB time=00:00:23.84 bitrate=1407.1kbits/s speed=0.357x frame= 931 fps= 14 q=30.0 size= 4096kB time=00:00:24.03 bitrate=1396.2kbits/s speed=0.356x frame= 938 fps= 14 q=30.0 size= 4352kB time=00:00:24.21 bitrate=1472.1kbits/s speed=0.356x frame= 946 fps= 14 q=30.0 size= 4352kB time=00:00:24.40 bitrate=1460.9kbits/s speed=0.356x frame= 953 fps= 14 q=30.0 size= 4352kB time=00:00:24.58 bitrate=1449.9kbits/s speed=0.356x frame= 961 fps= 14 q=30.0 size= 4352kB time=00:00:24.77 bitrate=1439.0kbits/s speed=0.356x frame= 968 fps= 14 q=30.0 size= 4352kB time=00:00:24.96 bitrate=1428.3kbits/s speed=0.356x frame= 976 fps= 14 q=30.0 size= 4352kB time=00:00:25.14 bitrate=1417.7kbits/s speed=0.356x frame= 983 fps= 14 q=30.0 size= 4352kB time=00:00:25.33 bitrate=1407.3kbits/s speed=0.356x frame= 991 fps= 14 q=30.0 size= 4352kB time=00:00:25.51 bitrate=1397.1kbits/s speed=0.355x frame= 998 fps= 14 q=30.0 size= 4352kB time=00:00:25.70 bitrate=1387.0kbits/s speed=0.355x frame= 1006 fps= 14 q=30.0 size= 4352kB time=00:00:25.91 bitrate=1375.8kbits/s speed=0.355x frame= 1013 fps= 14 q=30.0 size= 4352kB time=00:00:26.09 bitrate=1366.0kbits/s speed=0.355x frame= 1021 fps= 14 q=30.0 size= 4608kB time=00:00:26.28 bitrate=1436.1kbits/s speed=0.355x frame= 1028 fps= 14 q=30.0 size= 4608kB time=00:00:26.47 bitrate=1426.1kbits/s speed=0.355x frame= 1036 fps= 14 q=30.0 size= 4608kB time=00:00:26.65 bitrate=1416.1kbits/s speed=0.355x frame= 1043 fps= 14 q=30.0 size= 4608kB time=00:00:26.84 bitrate=1406.3kbits/s speed=0.355x frame= 1051 fps= 14 q=30.0 size= 4864kB time=00:00:27.02 bitrate=1474.3kbits/s speed=0.355x frame= 1058 fps= 14 q=30.0 size= 4864kB time=00:00:27.21 bitrate=1464.2kbits/s speed=0.355x frame= 1066 fps= 14 q=30.0 size= 5120kB time=00:00:27.39 bitrate=1530.8kbits/s speed=0.354x frame= 1073 fps= 14 q=30.0 size= 5120kB time=00:00:27.58 bitrate=1520.5kbits/s speed=0.354x frame= 1081 fps= 14 q=30.0 size= 5120kB time=00:00:27.77 bitrate=1510.3kbits/s speed=0.354x frame= 1088 fps= 14 q=30.0 size= 5120kB time=00:00:27.95 bitrate=1500.3kbits/s speed=0.354x frame= 1096 fps= 14 q=30.0 size= 5376kB time=00:00:28.14 bitrate=1564.9kbits/s speed=0.354x frame= 1103 fps= 14 q=30.0 size= 5376kB time=00:00:28.35 bitrate=1553.4kbits/s speed=0.354x frame= 1111 fps= 14 q=30.0 size= 5376kB time=00:00:28.53 bitrate=1543.3kbits/s speed=0.354x frame= 1118 fps= 14 q=30.0 size= 5376kB time=00:00:28.72 bitrate=1533.3kbits/s speed=0.354x frame= 1126 fps= 14 q=30.0 size= 5632kB time=00:00:28.90 bitrate=1596.0kbits/s speed=0.354x frame= 1133 fps= 14 q=30.0 size= 5632kB time=00:00:29.09 bitrate=1585.8kbits/s speed=0.353x frame= 1141 fps= 14 q=30.0 size= 5888kB time=00:00:29.28 bitrate=1647.3kbits/s speed=0.353x frame= 1148 fps= 14 q=30.0 size= 5888kB time=00:00:29.46 bitrate=1637.0kbits/s speed=0.353x frame= 1156 fps= 14 q=30.0 size= 5888kB time=00:00:29.65 bitrate=1626.7kbits/s speed=0.353x frame= 1163 fps= 14 q=30.0 size= 5888kB time=00:00:29.83 bitrate=1616.6kbits/s speed=0.353x frame= 1171 fps= 14 q=30.0 size= 6144kB time=00:00:30.02 bitrate=1676.4kbits/s speed=0.353x frame= 1178 fps= 14 q=30.0 size= 6144kB time=00:00:30.20 bitrate=1666.1kbits/s speed=0.353x frame= 1186 fps= 14 q=30.0 size= 6144kB time=00:00:30.39 bitrate=1655.9kbits/s speed=0.353x frame= 1193 fps= 14 q=30.0 size= 6400kB time=00:00:30.58 bitrate=1714.5kbits/s speed=0.353x frame= 1201 fps= 14 q=30.0 size= 6400kB time=00:00:30.76 bitrate=1704.1kbits/s speed=0.353x frame= 1208 fps= 14 q=30.0 size= 6400kB time=00:00:30.97 bitrate=1692.6kbits/s speed=0.353x frame= 1218 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.353x frame= 1226 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.351x frame= 1233 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.349x frame= 1241 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.347x frame= 1246 fps= 14 q=30.0 size= 6656kB time=00:00:31.18 bitrate=1748.5kbits/s speed=0.345x frame= 1246 fps= 14 q=-1.0 Lsize= 7180kB time=00:00:31.23 bitrate=1883.4kbits/s speed=0.345x video:6899kB audio:253kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.405971% [libx264 @ 0x55ac13ddda80] frame I:5 Avg QP:22.35 size: 77602 [libx264 @ 0x55ac13ddda80] frame P:910 Avg QP:24.35 size: 7058 [libx264 @ 0x55ac13ddda80] frame B:331 Avg QP:31.51 size: 763 [libx264 @ 0x55ac13ddda80] consecutive B-frames: 54.9% 25.2% 11.6% 8.3% [libx264 @ 0x55ac13ddda80] mb I I16..4: 11.8% 57.1% 31.2% [libx264 @ 0x55ac13ddda80] mb P I16..4: 0.0% 0.8% 0.3% P16..4: 38.8% 5.0% 6.2% 0.0% 0.0% skip:48.9% [libx264 @ 0x55ac13ddda80] mb B I16..4: 0.0% 0.1% 0.0% B16..8: 16.0% 0.6% 0.3% direct: 1.3% skip:81.8% L0:29.2% L1:63.0% BI: 7.8% [libx264 @ 0x55ac13ddda80] 8x8 transform intra:65.1% inter:50.5% [libx264 @ 0x55ac13ddda80] coded y,uvDC,uvAC intra: 96.0% 86.9% 50.9% inter: 21.2% 17.8% 0.6% [libx264 @ 0x55ac13ddda80] i16 v,h,dc,p: 13% 14% 41% 32% [libx264 @ 0x55ac13ddda80] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 7% 16% 33% 8% 5% 5% 8% 6% 11% [libx264 @ 0x55ac13ddda80] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 9% 13% 25% 10% 8% 7% 10% 7% 9% [libx264 @ 0x55ac13ddda80] i8c dc,h,v,p: 39% 33% 15% 13% [libx264 @ 0x55ac13ddda80] Weighted P-Frames: Y:4.2% UV:2.5% [libx264 @ 0x55ac13ddda80] ref P L0: 72.3% 21.3% 4.0% 2.2% 0.2% [libx264 @ 0x55ac13ddda80] ref B L0: 90.6% 6.6% 2.8% [libx264 @ 0x55ac13ddda80] ref B L1: 98.2% 1.8% [libx264 @ 0x55ac13ddda80] kb/s:1814.03 [aac @ 0x55ac13e12a80] Qavg: 3890.277
Want to make some of these yourself?
Run this model