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.
No compatible source was found for this media.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.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run pollinations/stable-diffusion-dance using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/pollinations/stable-diffusion-dance@sha256:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280 \ -i 'width=512' \ -i 'height=512' \ -i $'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"' \ -i 'audio_file="https://replicate.delivery/pbxt/I6UVtlUYiWnyxDzkCVWVRD7PVtDxxmUtLEdKqdEDXuZeU3cx/cryo.aif"' \ -i 'frame_rate=15' \ -i 'random_seed=13' \ -i 'prompt_scale=15' \ -i 'audio_smoothing=0.7' \ -i 'diffusion_steps=15'
To learn more, take a look at the Cog documentation.
Pull and run pollinations/stable-diffusion-dance using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/pollinations/stable-diffusion-dance@sha256:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "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 } }' \ http://localhost:5000/predictions
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 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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 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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 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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 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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.
No compatible source was found for this media.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.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run pollinations/stable-diffusion-dance using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/pollinations/stable-diffusion-dance@sha256:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280 \ -i 'width=384' \ -i 'height=512' \ -i $'prompts="Robot with headphones listening to music, lowbrow, hd\\nAndroid with headphones listening to music, lowbrow, hd"' \ -i 'audio_file="https://replicate.delivery/pbxt/I7e9zqytAX438lKTdrgIKm9m0uV5i1sOlqn0M1MnGfF0UQh9/ushuaia.aif"' \ -i 'batch_size=24' \ -i 'frame_rate=15' \ -i 'random_seed=13' \ -i 'prompt_scale=15' \ -i 'audio_smoothing=0.7' \ -i 'diffusion_steps=10'
To learn more, take a look at the Cog documentation.
Pull and run pollinations/stable-diffusion-dance using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/pollinations/stable-diffusion-dance@sha256:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "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 } }' \ http://localhost:5000/predictions
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 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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 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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 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./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 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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 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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 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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 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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%00:00:000Stream Type LIVERemaining Time -00:00:0001x
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
The media could not be loaded, either because the server or network failed or because the format is not supported.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.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run pollinations/stable-diffusion-dance using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/pollinations/stable-diffusion-dance@sha256:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280 \ -i 'width=512' \ -i 'height=512' \ -i $'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"' \ -i 'audio_file="https://replicate.delivery/pbxt/IEUhQkLT4CaUs08buoPAyXgVlvf0157xNiHcyukEfDDfWxB5/ganze_boot.mp3"' \ -i 'batch_size=20' \ -i 'frame_rate=16' \ -i 'random_seed=13' \ -i 'prompt_scale=15' \ -i 'style_suffix="by paul klee, intricate detail"' \ -i 'audio_smoothing=0.85' \ -i 'diffusion_steps=15' \ -i 'audio_noise_scale=0.3' \ -i 'audio_loudness_type="peak"' \ -i 'frame_interpolation=true'
To learn more, take a look at the Cog documentation.
Pull and run pollinations/stable-diffusion-dance using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/pollinations/stable-diffusion-dance@sha256:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "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 } }' \ http://localhost:5000/predictions
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 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./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%|██████████| 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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 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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%|████▋ 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./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 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./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 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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 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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 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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 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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.
No compatible source was found for this media.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.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run pollinations/stable-diffusion-dance using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/pollinations/stable-diffusion-dance@sha256:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280 \ -i 'width=512' \ -i 'height=512' \ -i $'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"' \ -i 'audio_file="https://replicate.delivery/pbxt/IFLHxqm6fHO75bWpN4IBIPbeEg8Y1TgjXGLtE4e7cRscwtU5/racingcar.aif"' \ -i 'batch_size=20' \ -i 'frame_rate=16' \ -i 'random_seed=13' \ -i 'prompt_scale=15' \ -i 'style_suffix="painting by andrew wyeth, very detailed, somber mood"' \ -i 'audio_smoothing=0.85' \ -i 'diffusion_steps=15' \ -i 'audio_noise_scale=0.3' \ -i 'audio_loudness_type="peak"' \ -i 'frame_interpolation=true'
To learn more, take a look at the Cog documentation.
Pull and run pollinations/stable-diffusion-dance using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/pollinations/stable-diffusion-dance@sha256:dfb636aa9c04fe5b7d9897e6159ef88e3ecb3e1eb274c3f072dca7b495823280
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "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 } }' \ http://localhost:5000/predictions
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%|█████▎ 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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%|███▎ | 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./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 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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 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./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 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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 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./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 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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 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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 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-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
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