wcarle/text2video-zero-openjourney
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text2video-zero-openjourney
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wcarle/text2video-zero-openjourney
The Picsart Text2Video-Zero model leverages the power of existing text-to-image synthesis methods (e.g., Stable Diffusion), making them suitable for the video domain.
wcarle/stable-diffusion-videos
Generate videos by interpolating the latent space of Stable Diffusion
wcarle/stable-diffusion-videos-openjourney
Generate videos by interpolating the latent space of Stable Diffusion using the Openjourney Model
wcarle/stable-diffusion-videos-mo-di
Generate videos by interpolating the latent space of Stable Diffusion using the Mo-Di Diffusion Model
wcarle/stable-diffusion-videos-ghibli
Generate videos by interpolating the latent space of Stable Diffusion using the Ghibli-Diffusion Model
wcarle/text2video-zero
The Picsart Text2Video-Zero model leverages the power of existing text-to-image synthesis methods (e.g., Stable Diffusion), making them suitable for the video domain
The Picsart Text2Video-Zero model leverages the power of existing text-to-image synthesis methods (e.g., Stable Diffusion), making them suitable for the video domain.
Prediction
wcarle/text2video-zero-openjourney:2bf28cacd1f02765bd557294ec53f743b42be123675773c810bb3e0f8e3ce6f6Input
- t0
- 44
- t1
- 45
- fps
- 8
- prompt
- A panda is dancing in times square
- chunk_size
- 8
- resolution
- 512
- video_length
- 30
- motion_field_strength_x
- 12
- motion_field_strength_y
- 12
{ "t0": 44, "t1": 45, "fps": 8, "prompt": "A panda is dancing in times square", "chunk_size": 8, "resolution": 512, "video_length": 30, "motion_field_strength_x": 12, "motion_field_strength_y": 12 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run wcarle/text2video-zero-openjourney using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "wcarle/text2video-zero-openjourney:2bf28cacd1f02765bd557294ec53f743b42be123675773c810bb3e0f8e3ce6f6", { input: { t0: 44, t1: 45, fps: 8, prompt: "A panda is dancing in times square", chunk_size: 8, resolution: 512, video_length: 30, motion_field_strength_x: 12, motion_field_strength_y: 12 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun wcarle/text2video-zero-openjourney using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "wcarle/text2video-zero-openjourney:2bf28cacd1f02765bd557294ec53f743b42be123675773c810bb3e0f8e3ce6f6", input={ "t0": 44, "t1": 45, "fps": 8, "prompt": "A panda is dancing in times square", "chunk_size": 8, "resolution": 512, "video_length": 30, "motion_field_strength_x": 12, "motion_field_strength_y": 12 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run wcarle/text2video-zero-openjourney 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": "wcarle/text2video-zero-openjourney:2bf28cacd1f02765bd557294ec53f743b42be123675773c810bb3e0f8e3ce6f6", "input": { "t0": 44, "t1": 45, "fps": 8, "prompt": "A panda is dancing in times square", "chunk_size": 8, "resolution": 512, "video_length": 30, "motion_field_strength_x": 12, "motion_field_strength_y": 12 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/wcarle/text2video-zero-openjourney@sha256:2bf28cacd1f02765bd557294ec53f743b42be123675773c810bb3e0f8e3ce6f6 \ -i 't0=44' \ -i 't1=45' \ -i 'fps=8' \ -i 'prompt="A panda is dancing in times square"' \ -i 'chunk_size=8' \ -i 'resolution=512' \ -i 'video_length=30' \ -i 'motion_field_strength_x=12' \ -i 'motion_field_strength_y=12'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/wcarle/text2video-zero-openjourney@sha256:2bf28cacd1f02765bd557294ec53f743b42be123675773c810bb3e0f8e3ce6f6curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "t0": 44, "t1": 45, "fps": 8, "prompt": "A panda is dancing in times square", "chunk_size": 8, "resolution": 512, "video_length": 30, "motion_field_strength_x": 12, "motion_field_strength_y": 12 } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2023-04-11T05:56:30.065598Z", "created_at": "2023-04-11T05:55:07.628831Z", "data_removed": false, "error": null, "id": "ohjgnly7gjgsbi24vguj54rpfe", "input": { "t0": 44, "t1": 45, "fps": 8, "prompt": "A panda is dancing in times square", "chunk_size": 8, "resolution": 512, "video_length": 30, "motion_field_strength_x": 12, "motion_field_strength_y": 12 }, "logs": "Setting Random seed.\nModule Text2Video\nProcessing chunk 1 / 5\nt0 = 881 t1 = 901\nContinue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\nlatent t1 found at i=3, t = 921\n 4%|▍ | 2/50 [00:00<00:04, 11.26it/s]\nlatent t0 found at i = 4, t = 901\n 8%|▊ | 4/50 [00:00<00:03, 12.20it/s]\n 12%|█▏ | 6/50 [00:00<00:03, 12.49it/s]\n 16%|█▌ | 8/50 [00:00<00:03, 12.74it/s]\n 20%|██ | 10/50 [00:00<00:03, 12.90it/s]\n 24%|██▍ | 12/50 [00:00<00:02, 12.97it/s]\n 28%|██▊ | 14/50 [00:01<00:02, 13.03it/s]\n 32%|███▏ | 16/50 [00:01<00:02, 13.02it/s]\n 36%|███▌ | 18/50 [00:01<00:02, 13.01it/s]\n 40%|████ | 20/50 [00:01<00:02, 13.06it/s]\n 44%|████▍ | 22/50 [00:01<00:02, 13.08it/s]\n 48%|████▊ | 24/50 [00:01<00:01, 13.12it/s]\n 52%|█████▏ | 26/50 [00:02<00:01, 13.07it/s]\n 56%|█████▌ | 28/50 [00:02<00:01, 13.07it/s]\n 60%|██████ | 30/50 [00:02<00:01, 12.89it/s]\n 64%|██████▍ | 32/50 [00:02<00:01, 12.90it/s]\n 68%|██████▊ | 34/50 [00:02<00:01, 12.94it/s]\n 72%|███████▏ | 36/50 [00:02<00:01, 12.95it/s]\n 76%|███████▌ | 38/50 [00:02<00:00, 12.80it/s]\n 80%|████████ | 40/50 [00:03<00:00, 12.91it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 12.99it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 13.06it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 12.93it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 13.05it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.13it/s]\n100%|██████████| 50/50 [00:03<00:00, 12.94it/s]\nContinue DDIM with i = 4, t = 901, latent = torch.Size([8, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:14, 3.29it/s]\n 4%|▍ | 2/50 [00:00<00:14, 3.38it/s]\n 6%|▌ | 3/50 [00:00<00:13, 3.41it/s]\n 8%|▊ | 4/50 [00:01<00:13, 3.42it/s]\n 10%|█ | 5/50 [00:01<00:13, 3.43it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.44it/s]\n 14%|█▍ | 7/50 [00:02<00:12, 3.44it/s]\n 16%|█▌ | 8/50 [00:02<00:12, 3.45it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.45it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.45it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.45it/s]\n 24%|██▍ | 12/50 [00:03<00:11, 3.45it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.45it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.45it/s]\n 30%|███ | 15/50 [00:04<00:10, 3.45it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.45it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.44it/s]\n 36%|███▌ | 18/50 [00:05<00:09, 3.44it/s]\n 38%|███▊ | 19/50 [00:05<00:09, 3.44it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.44it/s]\n 42%|████▏ | 21/50 [00:06<00:08, 3.44it/s]\n 44%|████▍ | 22/50 [00:06<00:08, 3.44it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.45it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.45it/s]\n 50%|█████ | 25/50 [00:07<00:07, 3.45it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.45it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.45it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.44it/s]\n 58%|█████▊ | 29/50 [00:08<00:06, 3.44it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.44it/s]\n 62%|██████▏ | 31/50 [00:09<00:05, 3.44it/s]\n 64%|██████▍ | 32/50 [00:09<00:05, 3.44it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.44it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.44it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.43it/s]\n 72%|███████▏ | 36/50 [00:10<00:04, 3.44it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.43it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.43it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.44it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.44it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.44it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.42it/s]\n 86%|████████▌ | 43/50 [00:12<00:02, 3.43it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.43it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.42it/s]\n92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s]\n92%|█████████▏| 46/50 [00:13<00:01, 3.44it/s]\nProcessing chunk 2 / 5\nt0 = 881 t1 = 901\nContinue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\nlatent t1 found at i=3, t = 921\n 4%|▍ | 2/50 [00:00<00:03, 12.27it/s]\nlatent t0 found at i = 4, t = 901\n 8%|▊ | 4/50 [00:00<00:03, 12.87it/s]\n 12%|█▏ | 6/50 [00:00<00:03, 13.11it/s]\n 16%|█▌ | 8/50 [00:00<00:03, 13.15it/s]\n 20%|██ | 10/50 [00:00<00:03, 13.19it/s]\n 24%|██▍ | 12/50 [00:00<00:02, 13.23it/s]\n 28%|██▊ | 14/50 [00:01<00:02, 13.27it/s]\n 32%|███▏ | 16/50 [00:01<00:02, 13.04it/s]\n 36%|███▌ | 18/50 [00:01<00:02, 13.13it/s]\n 40%|████ | 20/50 [00:01<00:02, 13.17it/s]\n 44%|████▍ | 22/50 [00:01<00:02, 13.20it/s]\n 48%|████▊ | 24/50 [00:01<00:01, 13.23it/s]\n 52%|█████▏ | 26/50 [00:01<00:01, 13.25it/s]\n 56%|█████▌ | 28/50 [00:02<00:01, 13.16it/s]\n 60%|██████ | 30/50 [00:02<00:01, 13.04it/s]\n 64%|██████▍ | 32/50 [00:02<00:01, 13.04it/s]\n 68%|██████▊ | 34/50 [00:02<00:01, 13.11it/s]\n 72%|███████▏ | 36/50 [00:02<00:01, 13.14it/s]\n 76%|███████▌ | 38/50 [00:02<00:00, 13.16it/s]\n 80%|████████ | 40/50 [00:03<00:00, 13.19it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 12.95it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 13.00it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 13.10it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 13.16it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.21it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.13it/s]\nContinue DDIM with i = 4, t = 901, latent = torch.Size([8, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:15, 3.19it/s]\n 4%|▍ | 2/50 [00:00<00:14, 3.33it/s]\n 6%|▌ | 3/50 [00:00<00:13, 3.38it/s]\n 8%|▊ | 4/50 [00:01<00:13, 3.41it/s]\n 10%|█ | 5/50 [00:01<00:13, 3.42it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.43it/s]\n 14%|█▍ | 7/50 [00:02<00:12, 3.44it/s]\n 16%|█▌ | 8/50 [00:02<00:12, 3.44it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.44it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.44it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.44it/s]\n 24%|██▍ | 12/50 [00:03<00:11, 3.44it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.44it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.44it/s]\n 30%|███ | 15/50 [00:04<00:10, 3.45it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.45it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.45it/s]\n 36%|███▌ | 18/50 [00:05<00:09, 3.45it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.44it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.45it/s]\n 42%|████▏ | 21/50 [00:06<00:08, 3.45it/s]\n 44%|████▍ | 22/50 [00:06<00:08, 3.45it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.44it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.44it/s]\n 50%|█████ | 25/50 [00:07<00:07, 3.44it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.44it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.44it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.44it/s]\n 58%|█████▊ | 29/50 [00:08<00:06, 3.44it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.41it/s]\n 62%|██████▏ | 31/50 [00:09<00:05, 3.42it/s]\n 64%|██████▍ | 32/50 [00:09<00:05, 3.43it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.43it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.44it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.44it/s]\n 72%|███████▏ | 36/50 [00:10<00:04, 3.44it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.43it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.43it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.44it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.44it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.44it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.45it/s]\n 86%|████████▌ | 43/50 [00:12<00:02, 3.44it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.42it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.43it/s]\n92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s]\n92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s]\nProcessing chunk 3 / 5\nt0 = 881 t1 = 901\nContinue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\nlatent t1 found at i=3, t = 921\n 4%|▍ | 2/50 [00:00<00:03, 13.14it/s]\nlatent t0 found at i = 4, t = 901\n 8%|▊ | 4/50 [00:00<00:03, 13.13it/s]\n 12%|█▏ | 6/50 [00:00<00:03, 13.08it/s]\n 16%|█▌ | 8/50 [00:00<00:03, 13.10it/s]\n 20%|██ | 10/50 [00:00<00:03, 13.01it/s]\n 24%|██▍ | 12/50 [00:00<00:02, 12.73it/s]\n 28%|██▊ | 14/50 [00:01<00:02, 12.85it/s]\n 32%|███▏ | 16/50 [00:01<00:02, 12.98it/s]\n 36%|███▌ | 18/50 [00:01<00:02, 13.06it/s]\n 40%|████ | 20/50 [00:01<00:02, 13.02it/s]\n 44%|████▍ | 22/50 [00:01<00:02, 13.04it/s]\n 48%|████▊ | 24/50 [00:01<00:02, 12.98it/s]\n 52%|█████▏ | 26/50 [00:01<00:01, 13.08it/s]\n 56%|█████▌ | 28/50 [00:02<00:01, 13.13it/s]\n 60%|██████ | 30/50 [00:02<00:01, 13.08it/s]\n 64%|██████▍ | 32/50 [00:02<00:01, 13.05it/s]\n 68%|██████▊ | 34/50 [00:02<00:01, 13.06it/s]\n 72%|███████▏ | 36/50 [00:02<00:01, 12.83it/s]\n 76%|███████▌ | 38/50 [00:02<00:00, 12.83it/s]\n 80%|████████ | 40/50 [00:03<00:00, 12.96it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 13.01it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 13.02it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 13.01it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 13.11it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.17it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.02it/s]\nContinue DDIM with i = 4, t = 901, latent = torch.Size([8, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:15, 3.10it/s]\n 4%|▍ | 2/50 [00:00<00:14, 3.29it/s]\n 6%|▌ | 3/50 [00:00<00:13, 3.36it/s]\n 8%|▊ | 4/50 [00:01<00:13, 3.32it/s]\n 10%|█ | 5/50 [00:01<00:13, 3.37it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.39it/s]\n 14%|█▍ | 7/50 [00:02<00:12, 3.37it/s]\n 16%|█▌ | 8/50 [00:02<00:12, 3.40it/s]\n 18%|█▊ | 9/50 [00:02<00:12, 3.42it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.43it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.43it/s]\n 24%|██▍ | 12/50 [00:03<00:11, 3.44it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.44it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.44it/s]\n 30%|███ | 15/50 [00:04<00:10, 3.43it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.43it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.44it/s]\n 36%|███▌ | 18/50 [00:05<00:09, 3.44it/s]\n 38%|███▊ | 19/50 [00:05<00:09, 3.44it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.44it/s]\n 42%|████▏ | 21/50 [00:06<00:08, 3.44it/s]\n 44%|████▍ | 22/50 [00:06<00:08, 3.44it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.44it/s]\n 48%|████▊ | 24/50 [00:07<00:07, 3.44it/s]\n 50%|█████ | 25/50 [00:07<00:07, 3.44it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.44it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.44it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.44it/s]\n 58%|█████▊ | 29/50 [00:08<00:06, 3.44it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.44it/s]\n 62%|██████▏ | 31/50 [00:09<00:05, 3.44it/s]\n 64%|██████▍ | 32/50 [00:09<00:05, 3.44it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.44it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.44it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.44it/s]\n 72%|███████▏ | 36/50 [00:10<00:04, 3.44it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.44it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.45it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.45it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.45it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.44it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.45it/s]\n 86%|████████▌ | 43/50 [00:12<00:02, 3.45it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.45it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.45it/s]\n 92%|█████████▏| 46/50 [00:13<00:01, 3.45it/s]\n92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s]\nProcessing chunk 4 / 5\nt0 = 881 t1 = 901\nContinue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\nlatent t1 found at i=3, t = 921\n 4%|▍ | 2/50 [00:00<00:03, 12.99it/s]\nlatent t0 found at i = 4, t = 901\n 8%|▊ | 4/50 [00:00<00:03, 13.11it/s]\n 12%|█▏ | 6/50 [00:00<00:03, 13.08it/s]\n 16%|█▌ | 8/50 [00:00<00:03, 13.06it/s]\n 20%|██ | 10/50 [00:00<00:03, 13.02it/s]\n 24%|██▍ | 12/50 [00:00<00:02, 13.06it/s]\n 28%|██▊ | 14/50 [00:01<00:02, 13.09it/s]\n 32%|███▏ | 16/50 [00:01<00:02, 13.11it/s]\n 36%|███▌ | 18/50 [00:01<00:02, 13.19it/s]\n 40%|████ | 20/50 [00:01<00:02, 13.11it/s]\n 44%|████▍ | 22/50 [00:01<00:02, 13.08it/s]\n 48%|████▊ | 24/50 [00:01<00:01, 13.15it/s]\n 52%|█████▏ | 26/50 [00:01<00:01, 13.17it/s]\n 56%|█████▌ | 28/50 [00:02<00:01, 13.24it/s]\n 60%|██████ | 30/50 [00:02<00:01, 13.31it/s]\n 64%|██████▍ | 32/50 [00:02<00:01, 13.35it/s]\n 68%|██████▊ | 34/50 [00:02<00:01, 13.38it/s]\n 72%|███████▏ | 36/50 [00:02<00:01, 13.29it/s]\n 76%|███████▌ | 38/50 [00:02<00:00, 13.31it/s]\n 80%|████████ | 40/50 [00:03<00:00, 13.32it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 13.30it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 13.21it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 13.14it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 12.98it/s]\n100%|██████████| 50/50 [00:03<00:00, 12.91it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.14it/s]\nContinue DDIM with i = 4, t = 901, latent = torch.Size([8, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:15, 3.15it/s]\n 4%|▍ | 2/50 [00:00<00:14, 3.32it/s]\n 6%|▌ | 3/50 [00:00<00:14, 3.35it/s]\n 8%|▊ | 4/50 [00:01<00:13, 3.38it/s]\n 10%|█ | 5/50 [00:01<00:13, 3.41it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.42it/s]\n 14%|█▍ | 7/50 [00:02<00:12, 3.43it/s]\n 16%|█▌ | 8/50 [00:02<00:12, 3.43it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.44it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.44it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.44it/s]\n 24%|██▍ | 12/50 [00:03<00:11, 3.43it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.43it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.44it/s]\n 30%|███ | 15/50 [00:04<00:10, 3.44it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.44it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.44it/s]\n 36%|███▌ | 18/50 [00:05<00:09, 3.44it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.44it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.45it/s]\n 42%|████▏ | 21/50 [00:06<00:08, 3.45it/s]\n 44%|████▍ | 22/50 [00:06<00:08, 3.45it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.45it/s]\n 48%|████▊ | 24/50 [00:07<00:07, 3.44it/s]\n 50%|█████ | 25/50 [00:07<00:07, 3.44it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.44it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.44it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.44it/s]\n 58%|█████▊ | 29/50 [00:08<00:06, 3.44it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.44it/s]\n 62%|██████▏ | 31/50 [00:09<00:05, 3.44it/s]\n 64%|██████▍ | 32/50 [00:09<00:05, 3.44it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.44it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.44it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.45it/s]\n 72%|███████▏ | 36/50 [00:10<00:04, 3.45it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.45it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.44it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.44it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.44it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.44it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.43it/s]\n 86%|████████▌ | 43/50 [00:12<00:02, 3.43it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.44it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.44it/s]\n 92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s]\n92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s]\nProcessing chunk 5 / 5\nt0 = 881 t1 = 901\nContinue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\nlatent t1 found at i=3, t = 921\n 4%|▍ | 2/50 [00:00<00:03, 12.46it/s]\nlatent t0 found at i = 4, t = 901\n 8%|▊ | 4/50 [00:00<00:03, 12.93it/s]\n 12%|█▏ | 6/50 [00:00<00:03, 13.01it/s]\n 16%|█▌ | 8/50 [00:00<00:03, 13.11it/s]\n 20%|██ | 10/50 [00:00<00:03, 13.19it/s]\n 24%|██▍ | 12/50 [00:00<00:02, 13.23it/s]\n 28%|██▊ | 14/50 [00:01<00:02, 13.15it/s]\n 32%|███▏ | 16/50 [00:01<00:02, 12.98it/s]\n 36%|███▌ | 18/50 [00:01<00:02, 13.00it/s]\n 40%|████ | 20/50 [00:01<00:02, 13.08it/s]\n 44%|████▍ | 22/50 [00:01<00:02, 13.09it/s]\n 48%|████▊ | 24/50 [00:01<00:01, 13.11it/s]\n 52%|█████▏ | 26/50 [00:01<00:01, 13.11it/s]\n 56%|█████▌ | 28/50 [00:02<00:01, 13.15it/s]\n 60%|██████ | 30/50 [00:02<00:01, 13.09it/s]\n 64%|██████▍ | 32/50 [00:02<00:01, 12.99it/s]\n 68%|██████▊ | 34/50 [00:02<00:01, 13.00it/s]\n 72%|███████▏ | 36/50 [00:02<00:01, 12.92it/s]\n 76%|███████▌ | 38/50 [00:02<00:00, 12.82it/s]\n 80%|████████ | 40/50 [00:03<00:00, 12.91it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 12.90it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 12.92it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 12.81it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 12.87it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.03it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.01it/s]\nContinue DDIM with i = 4, t = 901, latent = torch.Size([3, 4, 64, 64]), device = cuda:0, type = torch.float16\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:07, 6.59it/s]\n 4%|▍ | 2/50 [00:00<00:06, 7.14it/s]\n 6%|▌ | 3/50 [00:00<00:06, 7.33it/s]\n 8%|▊ | 4/50 [00:00<00:06, 7.33it/s]\n 10%|█ | 5/50 [00:00<00:06, 7.41it/s]\n 12%|█▏ | 6/50 [00:00<00:06, 7.30it/s]\n 14%|█▍ | 7/50 [00:00<00:05, 7.39it/s]\n 16%|█▌ | 8/50 [00:01<00:05, 7.45it/s]\n 18%|█▊ | 9/50 [00:01<00:05, 7.46it/s]\n 20%|██ | 10/50 [00:01<00:05, 7.48it/s]\n 22%|██▏ | 11/50 [00:01<00:05, 7.45it/s]\n 24%|██▍ | 12/50 [00:01<00:05, 7.49it/s]\n 26%|██▌ | 13/50 [00:01<00:04, 7.52it/s]\n 28%|██▊ | 14/50 [00:01<00:04, 7.54it/s]\n 30%|███ | 15/50 [00:02<00:04, 7.55it/s]\n 32%|███▏ | 16/50 [00:02<00:04, 7.54it/s]\n 34%|███▍ | 17/50 [00:02<00:04, 7.55it/s]\n 36%|███▌ | 18/50 [00:02<00:04, 7.56it/s]\n 38%|███▊ | 19/50 [00:02<00:04, 7.57it/s]\n 40%|████ | 20/50 [00:02<00:03, 7.59it/s]\n 42%|████▏ | 21/50 [00:02<00:03, 7.61it/s]\n 44%|████▍ | 22/50 [00:02<00:03, 7.59it/s]\n 46%|████▌ | 23/50 [00:03<00:03, 7.57it/s]\n 48%|████▊ | 24/50 [00:03<00:03, 7.52it/s]\n 50%|█████ | 25/50 [00:03<00:03, 7.52it/s]\n 52%|█████▏ | 26/50 [00:03<00:03, 7.45it/s]\n 54%|█████▍ | 27/50 [00:03<00:03, 7.39it/s]\n 56%|█████▌ | 28/50 [00:03<00:02, 7.45it/s]\n 58%|█████▊ | 29/50 [00:03<00:02, 7.49it/s]\n 60%|██████ | 30/50 [00:04<00:02, 7.53it/s]\n 62%|██████▏ | 31/50 [00:04<00:02, 7.55it/s]\n 64%|██████▍ | 32/50 [00:04<00:02, 7.56it/s]\n 66%|██████▌ | 33/50 [00:04<00:02, 7.46it/s]\n 68%|██████▊ | 34/50 [00:04<00:02, 7.41it/s]\n 70%|███████ | 35/50 [00:04<00:02, 7.46it/s]\n 72%|███████▏ | 36/50 [00:04<00:01, 7.49it/s]\n 74%|███████▍ | 37/50 [00:04<00:01, 7.52it/s]\n 76%|███████▌ | 38/50 [00:05<00:01, 7.54it/s]\n 78%|███████▊ | 39/50 [00:05<00:01, 7.52it/s]\n 80%|████████ | 40/50 [00:05<00:01, 7.54it/s]\n 82%|████████▏ | 41/50 [00:05<00:01, 7.57it/s]\n 84%|████████▍ | 42/50 [00:05<00:01, 7.48it/s]\n 86%|████████▌ | 43/50 [00:05<00:00, 7.48it/s]\n 88%|████████▊ | 44/50 [00:05<00:00, 7.51it/s]\n 90%|█████████ | 45/50 [00:06<00:00, 7.54it/s]\n 92%|█████████▏| 46/50 [00:06<00:00, 7.56it/s]\n92%|█████████▏| 46/50 [00:06<00:00, 7.49it/s]", "metrics": { "predict_time": 82.320083, "total_time": 82.436767 }, "output": "https://replicate.delivery/pbxt/ZuzUIejTLUTjVqHnCvqvWRaqJxnrpbZGkRFvBY4debcNiqwQA/out.mp4", "started_at": "2023-04-11T05:55:07.745515Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ohjgnly7gjgsbi24vguj54rpfe", "cancel": "https://api.replicate.com/v1/predictions/ohjgnly7gjgsbi24vguj54rpfe/cancel" }, "version": "2bf28cacd1f02765bd557294ec53f743b42be123675773c810bb3e0f8e3ce6f6" }Generated inSetting Random seed. Module Text2Video Processing chunk 1 / 5 t0 = 881 t1 = 901 Continue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] latent t1 found at i=3, t = 921 4%|▍ | 2/50 [00:00<00:04, 11.26it/s] latent t0 found at i = 4, t = 901 8%|▊ | 4/50 [00:00<00:03, 12.20it/s] 12%|█▏ | 6/50 [00:00<00:03, 12.49it/s] 16%|█▌ | 8/50 [00:00<00:03, 12.74it/s] 20%|██ | 10/50 [00:00<00:03, 12.90it/s] 24%|██▍ | 12/50 [00:00<00:02, 12.97it/s] 28%|██▊ | 14/50 [00:01<00:02, 13.03it/s] 32%|███▏ | 16/50 [00:01<00:02, 13.02it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.01it/s] 40%|████ | 20/50 [00:01<00:02, 13.06it/s] 44%|████▍ | 22/50 [00:01<00:02, 13.08it/s] 48%|████▊ | 24/50 [00:01<00:01, 13.12it/s] 52%|█████▏ | 26/50 [00:02<00:01, 13.07it/s] 56%|█████▌ | 28/50 [00:02<00:01, 13.07it/s] 60%|██████ | 30/50 [00:02<00:01, 12.89it/s] 64%|██████▍ | 32/50 [00:02<00:01, 12.90it/s] 68%|██████▊ | 34/50 [00:02<00:01, 12.94it/s] 72%|███████▏ | 36/50 [00:02<00:01, 12.95it/s] 76%|███████▌ | 38/50 [00:02<00:00, 12.80it/s] 80%|████████ | 40/50 [00:03<00:00, 12.91it/s] 84%|████████▍ | 42/50 [00:03<00:00, 12.99it/s] 88%|████████▊ | 44/50 [00:03<00:00, 13.06it/s] 92%|█████████▏| 46/50 [00:03<00:00, 12.93it/s] 96%|█████████▌| 48/50 [00:03<00:00, 13.05it/s] 100%|██████████| 50/50 [00:03<00:00, 13.13it/s] 100%|██████████| 50/50 [00:03<00:00, 12.94it/s] Continue DDIM with i = 4, t = 901, latent = torch.Size([8, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:14, 3.29it/s] 4%|▍ | 2/50 [00:00<00:14, 3.38it/s] 6%|▌ | 3/50 [00:00<00:13, 3.41it/s] 8%|▊ | 4/50 [00:01<00:13, 3.42it/s] 10%|█ | 5/50 [00:01<00:13, 3.43it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.44it/s] 14%|█▍ | 7/50 [00:02<00:12, 3.44it/s] 16%|█▌ | 8/50 [00:02<00:12, 3.45it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.45it/s] 20%|██ | 10/50 [00:02<00:11, 3.45it/s] 22%|██▏ | 11/50 [00:03<00:11, 3.45it/s] 24%|██▍ | 12/50 [00:03<00:11, 3.45it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.45it/s] 28%|██▊ | 14/50 [00:04<00:10, 3.45it/s] 30%|███ | 15/50 [00:04<00:10, 3.45it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.45it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.44it/s] 36%|███▌ | 18/50 [00:05<00:09, 3.44it/s] 38%|███▊ | 19/50 [00:05<00:09, 3.44it/s] 40%|████ | 20/50 [00:05<00:08, 3.44it/s] 42%|████▏ | 21/50 [00:06<00:08, 3.44it/s] 44%|████▍ | 22/50 [00:06<00:08, 3.44it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.45it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.45it/s] 50%|█████ | 25/50 [00:07<00:07, 3.45it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.45it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.45it/s] 56%|█████▌ | 28/50 [00:08<00:06, 3.44it/s] 58%|█████▊ | 29/50 [00:08<00:06, 3.44it/s] 60%|██████ | 30/50 [00:08<00:05, 3.44it/s] 62%|██████▏ | 31/50 [00:09<00:05, 3.44it/s] 64%|██████▍ | 32/50 [00:09<00:05, 3.44it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.44it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.44it/s] 70%|███████ | 35/50 [00:10<00:04, 3.43it/s] 72%|███████▏ | 36/50 [00:10<00:04, 3.44it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.43it/s] 76%|███████▌ | 38/50 [00:11<00:03, 3.43it/s] 78%|███████▊ | 39/50 [00:11<00:03, 3.44it/s] 80%|████████ | 40/50 [00:11<00:02, 3.44it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.44it/s] 84%|████████▍ | 42/50 [00:12<00:02, 3.42it/s] 86%|████████▌ | 43/50 [00:12<00:02, 3.43it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.43it/s] 90%|█████████ | 45/50 [00:13<00:01, 3.42it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.44it/s] Processing chunk 2 / 5 t0 = 881 t1 = 901 Continue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] latent t1 found at i=3, t = 921 4%|▍ | 2/50 [00:00<00:03, 12.27it/s] latent t0 found at i = 4, t = 901 8%|▊ | 4/50 [00:00<00:03, 12.87it/s] 12%|█▏ | 6/50 [00:00<00:03, 13.11it/s] 16%|█▌ | 8/50 [00:00<00:03, 13.15it/s] 20%|██ | 10/50 [00:00<00:03, 13.19it/s] 24%|██▍ | 12/50 [00:00<00:02, 13.23it/s] 28%|██▊ | 14/50 [00:01<00:02, 13.27it/s] 32%|███▏ | 16/50 [00:01<00:02, 13.04it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.13it/s] 40%|████ | 20/50 [00:01<00:02, 13.17it/s] 44%|████▍ | 22/50 [00:01<00:02, 13.20it/s] 48%|████▊ | 24/50 [00:01<00:01, 13.23it/s] 52%|█████▏ | 26/50 [00:01<00:01, 13.25it/s] 56%|█████▌ | 28/50 [00:02<00:01, 13.16it/s] 60%|██████ | 30/50 [00:02<00:01, 13.04it/s] 64%|██████▍ | 32/50 [00:02<00:01, 13.04it/s] 68%|██████▊ | 34/50 [00:02<00:01, 13.11it/s] 72%|███████▏ | 36/50 [00:02<00:01, 13.14it/s] 76%|███████▌ | 38/50 [00:02<00:00, 13.16it/s] 80%|████████ | 40/50 [00:03<00:00, 13.19it/s] 84%|████████▍ | 42/50 [00:03<00:00, 12.95it/s] 88%|████████▊ | 44/50 [00:03<00:00, 13.00it/s] 92%|█████████▏| 46/50 [00:03<00:00, 13.10it/s] 96%|█████████▌| 48/50 [00:03<00:00, 13.16it/s] 100%|██████████| 50/50 [00:03<00:00, 13.21it/s] 100%|██████████| 50/50 [00:03<00:00, 13.13it/s] Continue DDIM with i = 4, t = 901, latent = torch.Size([8, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:15, 3.19it/s] 4%|▍ | 2/50 [00:00<00:14, 3.33it/s] 6%|▌ | 3/50 [00:00<00:13, 3.38it/s] 8%|▊ | 4/50 [00:01<00:13, 3.41it/s] 10%|█ | 5/50 [00:01<00:13, 3.42it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.43it/s] 14%|█▍ | 7/50 [00:02<00:12, 3.44it/s] 16%|█▌ | 8/50 [00:02<00:12, 3.44it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.44it/s] 20%|██ | 10/50 [00:02<00:11, 3.44it/s] 22%|██▏ | 11/50 [00:03<00:11, 3.44it/s] 24%|██▍ | 12/50 [00:03<00:11, 3.44it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.44it/s] 28%|██▊ | 14/50 [00:04<00:10, 3.44it/s] 30%|███ | 15/50 [00:04<00:10, 3.45it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.45it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.45it/s] 36%|███▌ | 18/50 [00:05<00:09, 3.45it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.44it/s] 40%|████ | 20/50 [00:05<00:08, 3.45it/s] 42%|████▏ | 21/50 [00:06<00:08, 3.45it/s] 44%|████▍ | 22/50 [00:06<00:08, 3.45it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.44it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.44it/s] 50%|█████ | 25/50 [00:07<00:07, 3.44it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.44it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.44it/s] 56%|█████▌ | 28/50 [00:08<00:06, 3.44it/s] 58%|█████▊ | 29/50 [00:08<00:06, 3.44it/s] 60%|██████ | 30/50 [00:08<00:05, 3.41it/s] 62%|██████▏ | 31/50 [00:09<00:05, 3.42it/s] 64%|██████▍ | 32/50 [00:09<00:05, 3.43it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.43it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.44it/s] 70%|███████ | 35/50 [00:10<00:04, 3.44it/s] 72%|███████▏ | 36/50 [00:10<00:04, 3.44it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.43it/s] 76%|███████▌ | 38/50 [00:11<00:03, 3.43it/s] 78%|███████▊ | 39/50 [00:11<00:03, 3.44it/s] 80%|████████ | 40/50 [00:11<00:02, 3.44it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.44it/s] 84%|████████▍ | 42/50 [00:12<00:02, 3.45it/s] 86%|████████▌ | 43/50 [00:12<00:02, 3.44it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.42it/s] 90%|█████████ | 45/50 [00:13<00:01, 3.43it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s] Processing chunk 3 / 5 t0 = 881 t1 = 901 Continue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] latent t1 found at i=3, t = 921 4%|▍ | 2/50 [00:00<00:03, 13.14it/s] latent t0 found at i = 4, t = 901 8%|▊ | 4/50 [00:00<00:03, 13.13it/s] 12%|█▏ | 6/50 [00:00<00:03, 13.08it/s] 16%|█▌ | 8/50 [00:00<00:03, 13.10it/s] 20%|██ | 10/50 [00:00<00:03, 13.01it/s] 24%|██▍ | 12/50 [00:00<00:02, 12.73it/s] 28%|██▊ | 14/50 [00:01<00:02, 12.85it/s] 32%|███▏ | 16/50 [00:01<00:02, 12.98it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.06it/s] 40%|████ | 20/50 [00:01<00:02, 13.02it/s] 44%|████▍ | 22/50 [00:01<00:02, 13.04it/s] 48%|████▊ | 24/50 [00:01<00:02, 12.98it/s] 52%|█████▏ | 26/50 [00:01<00:01, 13.08it/s] 56%|█████▌ | 28/50 [00:02<00:01, 13.13it/s] 60%|██████ | 30/50 [00:02<00:01, 13.08it/s] 64%|██████▍ | 32/50 [00:02<00:01, 13.05it/s] 68%|██████▊ | 34/50 [00:02<00:01, 13.06it/s] 72%|███████▏ | 36/50 [00:02<00:01, 12.83it/s] 76%|███████▌ | 38/50 [00:02<00:00, 12.83it/s] 80%|████████ | 40/50 [00:03<00:00, 12.96it/s] 84%|████████▍ | 42/50 [00:03<00:00, 13.01it/s] 88%|████████▊ | 44/50 [00:03<00:00, 13.02it/s] 92%|█████████▏| 46/50 [00:03<00:00, 13.01it/s] 96%|█████████▌| 48/50 [00:03<00:00, 13.11it/s] 100%|██████████| 50/50 [00:03<00:00, 13.17it/s] 100%|██████████| 50/50 [00:03<00:00, 13.02it/s] Continue DDIM with i = 4, t = 901, latent = torch.Size([8, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:15, 3.10it/s] 4%|▍ | 2/50 [00:00<00:14, 3.29it/s] 6%|▌ | 3/50 [00:00<00:13, 3.36it/s] 8%|▊ | 4/50 [00:01<00:13, 3.32it/s] 10%|█ | 5/50 [00:01<00:13, 3.37it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.39it/s] 14%|█▍ | 7/50 [00:02<00:12, 3.37it/s] 16%|█▌ | 8/50 [00:02<00:12, 3.40it/s] 18%|█▊ | 9/50 [00:02<00:12, 3.42it/s] 20%|██ | 10/50 [00:02<00:11, 3.43it/s] 22%|██▏ | 11/50 [00:03<00:11, 3.43it/s] 24%|██▍ | 12/50 [00:03<00:11, 3.44it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.44it/s] 28%|██▊ | 14/50 [00:04<00:10, 3.44it/s] 30%|███ | 15/50 [00:04<00:10, 3.43it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.43it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.44it/s] 36%|███▌ | 18/50 [00:05<00:09, 3.44it/s] 38%|███▊ | 19/50 [00:05<00:09, 3.44it/s] 40%|████ | 20/50 [00:05<00:08, 3.44it/s] 42%|████▏ | 21/50 [00:06<00:08, 3.44it/s] 44%|████▍ | 22/50 [00:06<00:08, 3.44it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.44it/s] 48%|████▊ | 24/50 [00:07<00:07, 3.44it/s] 50%|█████ | 25/50 [00:07<00:07, 3.44it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.44it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.44it/s] 56%|█████▌ | 28/50 [00:08<00:06, 3.44it/s] 58%|█████▊ | 29/50 [00:08<00:06, 3.44it/s] 60%|██████ | 30/50 [00:08<00:05, 3.44it/s] 62%|██████▏ | 31/50 [00:09<00:05, 3.44it/s] 64%|██████▍ | 32/50 [00:09<00:05, 3.44it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.44it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.44it/s] 70%|███████ | 35/50 [00:10<00:04, 3.44it/s] 72%|███████▏ | 36/50 [00:10<00:04, 3.44it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.44it/s] 76%|███████▌ | 38/50 [00:11<00:03, 3.45it/s] 78%|███████▊ | 39/50 [00:11<00:03, 3.45it/s] 80%|████████ | 40/50 [00:11<00:02, 3.45it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.44it/s] 84%|████████▍ | 42/50 [00:12<00:02, 3.45it/s] 86%|████████▌ | 43/50 [00:12<00:02, 3.45it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.45it/s] 90%|█████████ | 45/50 [00:13<00:01, 3.45it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.45it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s] Processing chunk 4 / 5 t0 = 881 t1 = 901 Continue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] latent t1 found at i=3, t = 921 4%|▍ | 2/50 [00:00<00:03, 12.99it/s] latent t0 found at i = 4, t = 901 8%|▊ | 4/50 [00:00<00:03, 13.11it/s] 12%|█▏ | 6/50 [00:00<00:03, 13.08it/s] 16%|█▌ | 8/50 [00:00<00:03, 13.06it/s] 20%|██ | 10/50 [00:00<00:03, 13.02it/s] 24%|██▍ | 12/50 [00:00<00:02, 13.06it/s] 28%|██▊ | 14/50 [00:01<00:02, 13.09it/s] 32%|███▏ | 16/50 [00:01<00:02, 13.11it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.19it/s] 40%|████ | 20/50 [00:01<00:02, 13.11it/s] 44%|████▍ | 22/50 [00:01<00:02, 13.08it/s] 48%|████▊ | 24/50 [00:01<00:01, 13.15it/s] 52%|█████▏ | 26/50 [00:01<00:01, 13.17it/s] 56%|█████▌ | 28/50 [00:02<00:01, 13.24it/s] 60%|██████ | 30/50 [00:02<00:01, 13.31it/s] 64%|██████▍ | 32/50 [00:02<00:01, 13.35it/s] 68%|██████▊ | 34/50 [00:02<00:01, 13.38it/s] 72%|███████▏ | 36/50 [00:02<00:01, 13.29it/s] 76%|███████▌ | 38/50 [00:02<00:00, 13.31it/s] 80%|████████ | 40/50 [00:03<00:00, 13.32it/s] 84%|████████▍ | 42/50 [00:03<00:00, 13.30it/s] 88%|████████▊ | 44/50 [00:03<00:00, 13.21it/s] 92%|█████████▏| 46/50 [00:03<00:00, 13.14it/s] 96%|█████████▌| 48/50 [00:03<00:00, 12.98it/s] 100%|██████████| 50/50 [00:03<00:00, 12.91it/s] 100%|██████████| 50/50 [00:03<00:00, 13.14it/s] Continue DDIM with i = 4, t = 901, latent = torch.Size([8, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:15, 3.15it/s] 4%|▍ | 2/50 [00:00<00:14, 3.32it/s] 6%|▌ | 3/50 [00:00<00:14, 3.35it/s] 8%|▊ | 4/50 [00:01<00:13, 3.38it/s] 10%|█ | 5/50 [00:01<00:13, 3.41it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.42it/s] 14%|█▍ | 7/50 [00:02<00:12, 3.43it/s] 16%|█▌ | 8/50 [00:02<00:12, 3.43it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.44it/s] 20%|██ | 10/50 [00:02<00:11, 3.44it/s] 22%|██▏ | 11/50 [00:03<00:11, 3.44it/s] 24%|██▍ | 12/50 [00:03<00:11, 3.43it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.43it/s] 28%|██▊ | 14/50 [00:04<00:10, 3.44it/s] 30%|███ | 15/50 [00:04<00:10, 3.44it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.44it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.44it/s] 36%|███▌ | 18/50 [00:05<00:09, 3.44it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.44it/s] 40%|████ | 20/50 [00:05<00:08, 3.45it/s] 42%|████▏ | 21/50 [00:06<00:08, 3.45it/s] 44%|████▍ | 22/50 [00:06<00:08, 3.45it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.45it/s] 48%|████▊ | 24/50 [00:07<00:07, 3.44it/s] 50%|█████ | 25/50 [00:07<00:07, 3.44it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.44it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.44it/s] 56%|█████▌ | 28/50 [00:08<00:06, 3.44it/s] 58%|█████▊ | 29/50 [00:08<00:06, 3.44it/s] 60%|██████ | 30/50 [00:08<00:05, 3.44it/s] 62%|██████▏ | 31/50 [00:09<00:05, 3.44it/s] 64%|██████▍ | 32/50 [00:09<00:05, 3.44it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.44it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.44it/s] 70%|███████ | 35/50 [00:10<00:04, 3.45it/s] 72%|███████▏ | 36/50 [00:10<00:04, 3.45it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.45it/s] 76%|███████▌ | 38/50 [00:11<00:03, 3.44it/s] 78%|███████▊ | 39/50 [00:11<00:03, 3.44it/s] 80%|████████ | 40/50 [00:11<00:02, 3.44it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.44it/s] 84%|████████▍ | 42/50 [00:12<00:02, 3.43it/s] 86%|████████▌ | 43/50 [00:12<00:02, 3.43it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.44it/s] 90%|█████████ | 45/50 [00:13<00:01, 3.44it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.43it/s] Processing chunk 5 / 5 t0 = 881 t1 = 901 Continue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] latent t1 found at i=3, t = 921 4%|▍ | 2/50 [00:00<00:03, 12.46it/s] latent t0 found at i = 4, t = 901 8%|▊ | 4/50 [00:00<00:03, 12.93it/s] 12%|█▏ | 6/50 [00:00<00:03, 13.01it/s] 16%|█▌ | 8/50 [00:00<00:03, 13.11it/s] 20%|██ | 10/50 [00:00<00:03, 13.19it/s] 24%|██▍ | 12/50 [00:00<00:02, 13.23it/s] 28%|██▊ | 14/50 [00:01<00:02, 13.15it/s] 32%|███▏ | 16/50 [00:01<00:02, 12.98it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.00it/s] 40%|████ | 20/50 [00:01<00:02, 13.08it/s] 44%|████▍ | 22/50 [00:01<00:02, 13.09it/s] 48%|████▊ | 24/50 [00:01<00:01, 13.11it/s] 52%|█████▏ | 26/50 [00:01<00:01, 13.11it/s] 56%|█████▌ | 28/50 [00:02<00:01, 13.15it/s] 60%|██████ | 30/50 [00:02<00:01, 13.09it/s] 64%|██████▍ | 32/50 [00:02<00:01, 12.99it/s] 68%|██████▊ | 34/50 [00:02<00:01, 13.00it/s] 72%|███████▏ | 36/50 [00:02<00:01, 12.92it/s] 76%|███████▌ | 38/50 [00:02<00:00, 12.82it/s] 80%|████████ | 40/50 [00:03<00:00, 12.91it/s] 84%|████████▍ | 42/50 [00:03<00:00, 12.90it/s] 88%|████████▊ | 44/50 [00:03<00:00, 12.92it/s] 92%|█████████▏| 46/50 [00:03<00:00, 12.81it/s] 96%|█████████▌| 48/50 [00:03<00:00, 12.87it/s] 100%|██████████| 50/50 [00:03<00:00, 13.03it/s] 100%|██████████| 50/50 [00:03<00:00, 13.01it/s] Continue DDIM with i = 4, t = 901, latent = torch.Size([3, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:07, 6.59it/s] 4%|▍ | 2/50 [00:00<00:06, 7.14it/s] 6%|▌ | 3/50 [00:00<00:06, 7.33it/s] 8%|▊ | 4/50 [00:00<00:06, 7.33it/s] 10%|█ | 5/50 [00:00<00:06, 7.41it/s] 12%|█▏ | 6/50 [00:00<00:06, 7.30it/s] 14%|█▍ | 7/50 [00:00<00:05, 7.39it/s] 16%|█▌ | 8/50 [00:01<00:05, 7.45it/s] 18%|█▊ | 9/50 [00:01<00:05, 7.46it/s] 20%|██ | 10/50 [00:01<00:05, 7.48it/s] 22%|██▏ | 11/50 [00:01<00:05, 7.45it/s] 24%|██▍ | 12/50 [00:01<00:05, 7.49it/s] 26%|██▌ | 13/50 [00:01<00:04, 7.52it/s] 28%|██▊ | 14/50 [00:01<00:04, 7.54it/s] 30%|███ | 15/50 [00:02<00:04, 7.55it/s] 32%|███▏ | 16/50 [00:02<00:04, 7.54it/s] 34%|███▍ | 17/50 [00:02<00:04, 7.55it/s] 36%|███▌ | 18/50 [00:02<00:04, 7.56it/s] 38%|███▊ | 19/50 [00:02<00:04, 7.57it/s] 40%|████ | 20/50 [00:02<00:03, 7.59it/s] 42%|████▏ | 21/50 [00:02<00:03, 7.61it/s] 44%|████▍ | 22/50 [00:02<00:03, 7.59it/s] 46%|████▌ | 23/50 [00:03<00:03, 7.57it/s] 48%|████▊ | 24/50 [00:03<00:03, 7.52it/s] 50%|█████ | 25/50 [00:03<00:03, 7.52it/s] 52%|█████▏ | 26/50 [00:03<00:03, 7.45it/s] 54%|█████▍ | 27/50 [00:03<00:03, 7.39it/s] 56%|█████▌ | 28/50 [00:03<00:02, 7.45it/s] 58%|█████▊ | 29/50 [00:03<00:02, 7.49it/s] 60%|██████ | 30/50 [00:04<00:02, 7.53it/s] 62%|██████▏ | 31/50 [00:04<00:02, 7.55it/s] 64%|██████▍ | 32/50 [00:04<00:02, 7.56it/s] 66%|██████▌ | 33/50 [00:04<00:02, 7.46it/s] 68%|██████▊ | 34/50 [00:04<00:02, 7.41it/s] 70%|███████ | 35/50 [00:04<00:02, 7.46it/s] 72%|███████▏ | 36/50 [00:04<00:01, 7.49it/s] 74%|███████▍ | 37/50 [00:04<00:01, 7.52it/s] 76%|███████▌ | 38/50 [00:05<00:01, 7.54it/s] 78%|███████▊ | 39/50 [00:05<00:01, 7.52it/s] 80%|████████ | 40/50 [00:05<00:01, 7.54it/s] 82%|████████▏ | 41/50 [00:05<00:01, 7.57it/s] 84%|████████▍ | 42/50 [00:05<00:01, 7.48it/s] 86%|████████▌ | 43/50 [00:05<00:00, 7.48it/s] 88%|████████▊ | 44/50 [00:05<00:00, 7.51it/s] 90%|█████████ | 45/50 [00:06<00:00, 7.54it/s] 92%|█████████▏| 46/50 [00:06<00:00, 7.56it/s] 92%|█████████▏| 46/50 [00:06<00:00, 7.49it/s]
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