cjwbw/text2video-zero 🔢📝 → 🖼️
About
Text-to-Image Diffusion Models are Zero-Shot Video Generators
Example Output
Prompt:
"A horse galloping on a street"
Output
Performance Metrics
97.70s
Prediction Time
201.04s
Total Time
All Input Parameters
{
"fps": 4,
"prompt": "A horse galloping on a street",
"model_name": "dreamlike-art/dreamlike-photoreal-2.0",
"timestep_t0": 44,
"timestep_t1": 47,
"video_length": 8,
"motion_field_strength_x": 12,
"motion_field_strength_y": 12
}
Input Parameters
- fps
- video frames per second
- seed
- Random seed. Leave blank to randomize the seed
- prompt
- Input Prompt
- model_name
- choose your model, the model should be avaliable on HF
- timestep_t0
- Perform DDPM steps from t0 to t1. The larger the gap between t0 and t1, the more variance between the frames. Ensure t0 < t1
- timestep_t1
- Perform DDPM steps from t0 to t1. The larger the gap between t0 and t1, the more variance between the frames. Ensure t0 < t1
- video_length
- Video length in seconds
- negative_prompt
- Negative Prompt
- motion_field_strength_x
- motion_field_strength_y
Output Schema
Output
Example Execution Logs
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[00:04<00:00, 2.92it/s] Processing chunk 1 / 5 t0 = 881 t1 = 941 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=1, t = 961 2%|▏ | 1/50 [00:03<02:33, 3.13s/it] latent t0 found at i = 4, t = 901 6%|▌ | 3/50 [00:03<00:40, 1.15it/s] 10%|█ | 5/50 [00:03<00:20, 2.16it/s] 14%|█▍ | 7/50 [00:03<00:12, 3.36it/s] 18%|█▊ | 9/50 [00:03<00:08, 4.68it/s] 22%|██▏ | 11/50 [00:03<00:06, 5.96it/s] 26%|██▌ | 13/50 [00:04<00:05, 7.34it/s] 30%|███ | 15/50 [00:04<00:04, 8.31it/s] 34%|███▍ | 17/50 [00:04<00:03, 9.40it/s] 38%|███▊ | 19/50 [00:04<00:03, 10.15it/s] 42%|████▏ | 21/50 [00:04<00:02, 11.06it/s] 46%|████▌ | 23/50 [00:04<00:02, 11.74it/s] 50%|█████ | 25/50 [00:04<00:02, 12.20it/s] 54%|█████▍ | 27/50 [00:05<00:01, 12.64it/s] 58%|█████▊ | 29/50 [00:05<00:01, 12.44it/s] 62%|██████▏ | 31/50 [00:05<00:01, 12.09it/s] 66%|██████▌ | 33/50 [00:05<00:01, 12.25it/s] 70%|███████ | 35/50 [00:05<00:01, 12.43it/s] 74%|███████▍ | 37/50 [00:05<00:01, 12.20it/s] 78%|███████▊ | 39/50 [00:06<00:00, 11.97it/s] 82%|████████▏ | 41/50 [00:06<00:00, 11.55it/s] 86%|████████▌ | 43/50 [00:06<00:00, 11.64it/s] 90%|█████████ | 45/50 [00:06<00:00, 12.27it/s] 94%|█████████▍| 47/50 [00:06<00:00, 12.83it/s] 98%|█████████▊| 49/50 [00:06<00:00, 13.17it/s] 100%|██████████| 50/50 [00:06<00:00, 7.16it/s] /root/.pyenv/versions/3.10.11/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3190.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] /root/.pyenv/versions/3.10.11/lib/python3.10/site-packages/torch/nn/functional.py:4227: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. warnings.warn( Continue DDIM with i = 2, t = 941, 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<00:13, 3.74it/s] 4%|▍ | 2/50 [00:00<00:10, 4.40it/s] 6%|▌ | 3/50 [00:00<00:10, 4.63it/s] 8%|▊ | 4/50 [00:00<00:09, 4.76it/s] 10%|█ | 5/50 [00:01<00:09, 4.84it/s] 12%|█▏ | 6/50 [00:01<00:09, 4.88it/s] 14%|█▍ | 7/50 [00:01<00:08, 4.92it/s] 16%|█▌ | 8/50 [00:01<00:08, 4.95it/s] 18%|█▊ | 9/50 [00:01<00:08, 4.98it/s] 20%|██ | 10/50 [00:02<00:08, 4.99it/s] 22%|██▏ | 11/50 [00:02<00:07, 5.01it/s] 24%|██▍ | 12/50 [00:02<00:07, 5.03it/s] 26%|██▌ | 13/50 [00:02<00:07, 5.04it/s] 28%|██▊ | 14/50 [00:02<00:07, 5.01it/s] 30%|███ | 15/50 [00:03<00:07, 4.95it/s] 32%|███▏ | 16/50 [00:03<00:06, 4.94it/s] 34%|███▍ | 17/50 [00:03<00:06, 4.93it/s] 36%|███▌ | 18/50 [00:03<00:06, 4.92it/s] 38%|███▊ | 19/50 [00:03<00:06, 4.90it/s] 40%|████ | 20/50 [00:04<00:06, 4.91it/s] 42%|████▏ | 21/50 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4.90it/s] 62%|██████▏ | 31/50 [00:06<00:03, 4.91it/s] 64%|██████▍ | 32/50 [00:06<00:03, 4.91it/s] 66%|██████▌ | 33/50 [00:06<00:03, 4.90it/s] 68%|██████▊ | 34/50 [00:06<00:03, 4.90it/s] 70%|███████ | 35/50 [00:07<00:03, 4.88it/s] 72%|███████▏ | 36/50 [00:07<00:02, 4.89it/s] 74%|███████▍ | 37/50 [00:07<00:02, 4.89it/s] 76%|███████▌ | 38/50 [00:07<00:02, 4.91it/s] 78%|███████▊ | 39/50 [00:07<00:02, 4.91it/s] 80%|████████ | 40/50 [00:08<00:02, 4.91it/s] 82%|████████▏ | 41/50 [00:08<00:01, 4.92it/s] 84%|████████▍ | 42/50 [00:08<00:01, 4.92it/s] 86%|████████▌ | 43/50 [00:08<00:01, 4.94it/s] 88%|████████▊ | 44/50 [00:08<00:01, 4.92it/s] 90%|█████████ | 45/50 [00:09<00:01, 4.91it/s] 92%|█████████▏| 46/50 [00:09<00:00, 4.92it/s] 94%|█████████▍| 47/50 [00:09<00:00, 4.93it/s] 96%|█████████▌| 48/50 [00:09<00:00, 4.96it/s] 96%|█████████▌| 48/50 [00:09<00:00, 4.90it/s] Processing chunk 3 / 5 t0 = 881 t1 = 941 Continue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16 latent t1 found at i=1, t = 961 0%| | 0/50 [00:00<?, ?it/s] 4%|▍ | 2/50 [00:00<00:03, 12.12it/s] latent t0 found at i = 4, t = 901 8%|▊ | 4/50 [00:00<00:03, 12.75it/s] 12%|█▏ | 6/50 [00:00<00:03, 12.03it/s] 16%|█▌ | 8/50 [00:00<00:03, 12.19it/s] 20%|██ | 10/50 [00:00<00:03, 12.27it/s] 24%|██▍ | 12/50 [00:00<00:03, 11.95it/s] 28%|██▊ | 14/50 [00:01<00:02, 12.30it/s] 32%|███▏ | 16/50 [00:01<00:02, 12.90it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.03it/s] 40%|████ | 20/50 [00:01<00:02, 13.11it/s] 44%|████▍ | 22/50 [00:01<00:02, 12.83it/s] 48%|████▊ | 24/50 [00:01<00:02, 12.81it/s] 52%|█████▏ | 26/50 [00:02<00:01, 12.48it/s] 56%|█████▌ | 28/50 [00:02<00:01, 12.79it/s] 60%|██████ | 30/50 [00:02<00:01, 12.47it/s] 64%|██████▍ | 32/50 [00:02<00:01, 12.27it/s] 68%|██████▊ | 34/50 [00:02<00:01, 12.55it/s] 72%|███████▏ | 36/50 [00:02<00:01, 12.25it/s] 76%|███████▌ | 38/50 [00:03<00:00, 12.14it/s] 80%|████████ | 40/50 [00:03<00:00, 12.23it/s] 84%|████████▍ | 42/50 [00:03<00:00, 12.01it/s] 88%|████████▊ | 44/50 [00:03<00:00, 11.61it/s] 92%|█████████▏| 46/50 [00:03<00:00, 11.19it/s] 96%|█████████▌| 48/50 [00:03<00:00, 11.35it/s] 100%|██████████| 50/50 [00:04<00:00, 11.44it/s] 100%|██████████| 50/50 [00:04<00:00, 12.17it/s] Continue DDIM with i = 2, t = 941, 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<00:11, 4.36it/s] 4%|▍ | 2/50 [00:00<00:10, 4.59it/s] 6%|▌ | 3/50 [00:00<00:10, 4.70it/s] 8%|▊ | 4/50 [00:00<00:09, 4.80it/s] 10%|█ | 5/50 [00:01<00:09, 4.82it/s] 12%|█▏ | 6/50 [00:01<00:09, 4.83it/s] 14%|█▍ | 7/50 [00:01<00:08, 4.80it/s] 16%|█▌ | 8/50 [00:01<00:08, 4.79it/s] 18%|█▊ | 9/50 [00:01<00:08, 4.78it/s] 20%|██ | 10/50 [00:02<00:08, 4.79it/s] 22%|██▏ | 11/50 [00:02<00:08, 4.81it/s] 24%|██▍ | 12/50 [00:02<00:07, 4.83it/s] 26%|██▌ | 13/50 [00:02<00:07, 4.83it/s] 28%|██▊ | 14/50 [00:02<00:07, 4.83it/s] 30%|███ | 15/50 [00:03<00:07, 4.86it/s] 32%|███▏ | 16/50 [00:03<00:06, 4.90it/s] 34%|███▍ | 17/50 [00:03<00:06, 4.91it/s] 36%|███▌ | 18/50 [00:03<00:06, 4.89it/s] 38%|███▊ | 19/50 [00:03<00:06, 4.89it/s] 40%|████ | 20/50 [00:04<00:06, 4.90it/s] 42%|████▏ | 21/50 [00:04<00:05, 4.89it/s] 44%|████▍ | 22/50 [00:04<00:05, 4.83it/s] 46%|████▌ | 23/50 [00:04<00:05, 4.86it/s] 48%|████▊ | 24/50 [00:04<00:05, 4.89it/s] 50%|█████ | 25/50 [00:05<00:05, 4.92it/s] 52%|█████▏ | 26/50 [00:05<00:04, 4.91it/s] 54%|█████▍ | 27/50 [00:05<00:04, 4.94it/s] 56%|█████▌ | 28/50 [00:05<00:04, 4.95it/s] 58%|█████▊ | 29/50 [00:05<00:04, 4.94it/s] 60%|██████ | 30/50 [00:06<00:04, 4.93it/s] 62%|██████▏ | 31/50 [00:06<00:03, 4.95it/s] 64%|██████▍ | 32/50 [00:06<00:03, 4.96it/s] 66%|██████▌ | 33/50 [00:06<00:03, 4.97it/s] 68%|██████▊ | 34/50 [00:06<00:03, 4.97it/s] 70%|███████ | 35/50 [00:07<00:03, 4.99it/s] 72%|███████▏ | 36/50 [00:07<00:02, 4.98it/s] 74%|███████▍ | 37/50 [00:07<00:02, 4.98it/s] 76%|███████▌ | 38/50 [00:07<00:02, 4.98it/s] 78%|███████▊ | 39/50 [00:07<00:02, 4.99it/s] 80%|████████ | 40/50 [00:08<00:02, 4.97it/s] 82%|████████▏ | 41/50 [00:08<00:01, 4.98it/s] 84%|████████▍ | 42/50 [00:08<00:01, 4.98it/s] 86%|████████▌ | 43/50 [00:08<00:01, 4.99it/s] 88%|████████▊ | 44/50 [00:08<00:01, 4.99it/s] 90%|█████████ | 45/50 [00:09<00:01, 5.00it/s] 92%|█████████▏| 46/50 [00:09<00:00, 5.01it/s] 94%|█████████▍| 47/50 [00:09<00:00, 5.02it/s] 96%|█████████▌| 48/50 [00:09<00:00, 5.03it/s] 96%|█████████▌| 48/50 [00:09<00:00, 4.91it/s] Processing chunk 4 / 5 t0 = 881 t1 = 941 Continue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16 latent t1 found at i=1, t = 961 0%| | 0/50 [00:00<?, ?it/s] 4%|▍ | 2/50 [00:00<00:03, 14.04it/s] latent t0 found at i = 4, t = 901 8%|▊ | 4/50 [00:00<00:03, 14.36it/s] 12%|█▏ | 6/50 [00:00<00:03, 14.42it/s] 16%|█▌ | 8/50 [00:00<00:02, 14.25it/s] 20%|██ | 10/50 [00:00<00:02, 13.84it/s] 24%|██▍ | 12/50 [00:00<00:02, 13.81it/s] 28%|██▊ | 14/50 [00:01<00:02, 13.69it/s] 32%|███▏ | 16/50 [00:01<00:02, 13.71it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.90it/s] 40%|████ | 20/50 [00:01<00:02, 13.98it/s] 44%|████▍ | 22/50 [00:01<00:01, 14.04it/s] 48%|████▊ | 24/50 [00:01<00:01, 14.18it/s] 52%|█████▏ | 26/50 [00:01<00:01, 14.16it/s] 56%|█████▌ | 28/50 [00:01<00:01, 14.39it/s] 60%|██████ | 30/50 [00:02<00:01, 14.58it/s] 64%|██████▍ | 32/50 [00:02<00:01, 14.55it/s] 68%|██████▊ | 34/50 [00:02<00:01, 14.64it/s] 72%|███████▏ | 36/50 [00:02<00:00, 14.66it/s] 76%|███████▌ | 38/50 [00:02<00:00, 14.60it/s] 80%|████████ | 40/50 [00:02<00:00, 14.32it/s] 84%|████████▍ | 42/50 [00:02<00:00, 14.49it/s] 88%|████████▊ | 44/50 [00:03<00:00, 14.58it/s] 92%|█████████▏| 46/50 [00:03<00:00, 14.55it/s] 96%|█████████▌| 48/50 [00:03<00:00, 14.65it/s] 100%|██████████| 50/50 [00:03<00:00, 14.72it/s] 100%|██████████| 50/50 [00:03<00:00, 14.33it/s] Continue DDIM with i = 2, t = 941, 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<00:10, 4.57it/s] 4%|▍ | 2/50 [00:00<00:09, 4.83it/s] 6%|▌ | 3/50 [00:00<00:09, 4.90it/s] 8%|▊ | 4/50 [00:00<00:09, 4.95it/s] 10%|█ | 5/50 [00:01<00:09, 4.98it/s] 12%|█▏ | 6/50 [00:01<00:08, 4.98it/s] 14%|█▍ | 7/50 [00:01<00:08, 4.97it/s] 16%|█▌ | 8/50 [00:01<00:08, 4.99it/s] 18%|█▊ | 9/50 [00:01<00:08, 5.00it/s] 20%|██ | 10/50 [00:02<00:08, 4.99it/s] 22%|██▏ | 11/50 [00:02<00:07, 5.00it/s] 24%|██▍ | 12/50 [00:02<00:07, 5.00it/s] 26%|██▌ | 13/50 [00:02<00:07, 5.00it/s] 28%|██▊ | 14/50 [00:02<00:07, 5.01it/s] 30%|███ | 15/50 [00:03<00:06, 5.03it/s] 32%|███▏ | 16/50 [00:03<00:06, 4.99it/s] 34%|███▍ | 17/50 [00:03<00:06, 4.97it/s] 36%|███▌ | 18/50 [00:03<00:06, 4.99it/s] 38%|███▊ | 19/50 [00:03<00:06, 5.00it/s] 40%|████ | 20/50 [00:04<00:05, 5.02it/s] 42%|████▏ | 21/50 [00:04<00:05, 4.98it/s] 44%|████▍ | 22/50 [00:04<00:05, 4.93it/s] 46%|████▌ | 23/50 [00:04<00:05, 4.97it/s] 48%|████▊ | 24/50 [00:04<00:05, 5.00it/s] 50%|█████ | 25/50 [00:05<00:04, 5.01it/s] 52%|█████▏ | 26/50 [00:05<00:04, 5.03it/s] 54%|█████▍ | 27/50 [00:05<00:04, 5.00it/s] 56%|█████▌ | 28/50 [00:05<00:04, 4.99it/s] 58%|█████▊ | 29/50 [00:05<00:04, 4.98it/s] 60%|██████ | 30/50 [00:06<00:04, 4.96it/s] 62%|██████▏ | 31/50 [00:06<00:03, 4.96it/s] 64%|██████▍ | 32/50 [00:06<00:03, 4.96it/s] 66%|██████▌ | 33/50 [00:06<00:03, 4.96it/s] 68%|██████▊ | 34/50 [00:06<00:03, 4.99it/s] 70%|███████ | 35/50 [00:07<00:03, 4.99it/s] 72%|███████▏ | 36/50 [00:07<00:02, 5.00it/s] 74%|███████▍ | 37/50 [00:07<00:02, 5.01it/s] 76%|███████▌ | 38/50 [00:07<00:02, 5.03it/s] 78%|███████▊ | 39/50 [00:07<00:02, 4.97it/s] 80%|████████ | 40/50 [00:08<00:02, 5.00it/s] 82%|████████▏ | 41/50 [00:08<00:01, 5.00it/s] 84%|████████▍ | 42/50 [00:08<00:01, 5.01it/s] 86%|████████▌ | 43/50 [00:08<00:01, 4.98it/s] 88%|████████▊ | 44/50 [00:08<00:01, 5.00it/s] 90%|█████████ | 45/50 [00:09<00:00, 5.02it/s] 92%|█████████▏| 46/50 [00:09<00:00, 5.02it/s] 94%|█████████▍| 47/50 [00:09<00:00, 5.02it/s] 96%|█████████▌| 48/50 [00:09<00:00, 5.00it/s] 96%|█████████▌| 48/50 [00:09<00:00, 4.99it/s] Processing chunk 5 / 5 t0 = 881 t1 = 941 Continue DDIM with i = 0, t = 981, latent = torch.Size([1, 4, 64, 64]), device = cuda:0, type = torch.float16 latent t1 found at i=1, t = 961 0%| | 0/50 [00:00<?, ?it/s] 4%|▍ | 2/50 [00:00<00:03, 14.67it/s] latent t0 found at i = 4, t = 901 8%|▊ | 4/50 [00:00<00:03, 13.90it/s] 12%|█▏ | 6/50 [00:00<00:03, 13.64it/s] 16%|█▌ | 8/50 [00:00<00:03, 13.71it/s] 20%|██ | 10/50 [00:00<00:02, 13.49it/s] 24%|██▍ | 12/50 [00:00<00:02, 13.94it/s] 28%|██▊ | 14/50 [00:01<00:02, 13.92it/s] 32%|███▏ | 16/50 [00:01<00:02, 13.75it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.43it/s] 40%|████ | 20/50 [00:01<00:02, 13.49it/s] 44%|████▍ | 22/50 [00:01<00:02, 13.86it/s] 48%|████▊ | 24/50 [00:01<00:01, 13.70it/s] 52%|█████▏ | 26/50 [00:01<00:01, 13.84it/s] 56%|█████▌ | 28/50 [00:02<00:01, 14.11it/s] 60%|██████ | 30/50 [00:02<00:01, 13.70it/s] 64%|██████▍ | 32/50 [00:02<00:01, 13.35it/s] 68%|██████▊ | 34/50 [00:02<00:01, 13.32it/s] 72%|███████▏ | 36/50 [00:02<00:01, 13.66it/s] 76%|███████▌ | 38/50 [00:02<00:00, 13.84it/s] 80%|████████ | 40/50 [00:02<00:00, 13.75it/s] 84%|████████▍ | 42/50 [00:03<00:00, 13.78it/s] 88%|████████▊ | 44/50 [00:03<00:00, 13.68it/s] 92%|█████████▏| 46/50 [00:03<00:00, 13.43it/s] 96%|█████████▌| 48/50 [00:03<00:00, 13.02it/s] 100%|██████████| 50/50 [00:03<00:00, 12.73it/s] 100%|██████████| 50/50 [00:03<00:00, 13.53it/s] Continue DDIM with i = 2, t = 941, latent = torch.Size([5, 4, 64, 64]), device = cuda:0, type = torch.float16 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:11, 4.41it/s] 4%|▍ | 2/50 [00:00<00:08, 5.56it/s] 6%|▌ | 3/50 [00:00<00:07, 6.22it/s] 8%|▊ | 4/50 [00:00<00:07, 6.45it/s] 10%|█ | 5/50 [00:00<00:06, 6.69it/s] 12%|█▏ | 6/50 [00:00<00:06, 6.86it/s] 14%|█▍ | 7/50 [00:01<00:06, 6.83it/s] 16%|█▌ | 8/50 [00:01<00:06, 6.79it/s] 18%|█▊ | 9/50 [00:01<00:06, 6.78it/s] 20%|██ | 10/50 [00:01<00:05, 6.93it/s] 22%|██▏ | 11/50 [00:01<00:05, 6.87it/s] 24%|██▍ | 12/50 [00:01<00:05, 6.92it/s] 26%|██▌ | 13/50 [00:01<00:05, 7.02it/s] 28%|██▊ | 14/50 [00:02<00:05, 7.04it/s] 30%|███ | 15/50 [00:02<00:04, 7.01it/s] 32%|███▏ | 16/50 [00:02<00:04, 7.01it/s] 34%|███▍ | 17/50 [00:02<00:04, 6.98it/s] 36%|███▌ | 18/50 [00:02<00:04, 6.95it/s] 38%|███▊ | 19/50 [00:02<00:04, 6.95it/s] 40%|████ | 20/50 [00:02<00:04, 6.98it/s] 42%|████▏ | 21/50 [00:03<00:04, 7.02it/s] 44%|████▍ | 22/50 [00:03<00:03, 7.01it/s] 46%|████▌ | 23/50 [00:03<00:03, 7.04it/s] 48%|████▊ | 24/50 [00:03<00:03, 7.07it/s] 50%|█████ | 25/50 [00:03<00:03, 7.08it/s] 52%|█████▏ | 26/50 [00:03<00:03, 7.11it/s] 54%|█████▍ | 27/50 [00:03<00:03, 7.14it/s] 56%|█████▌ | 28/50 [00:04<00:03, 7.11it/s] 58%|█████▊ | 29/50 [00:04<00:02, 7.11it/s] 60%|██████ | 30/50 [00:04<00:02, 7.14it/s] 62%|██████▏ | 31/50 [00:04<00:02, 7.17it/s] 64%|██████▍ | 32/50 [00:04<00:02, 7.20it/s] 66%|██████▌ | 33/50 [00:04<00:02, 7.22it/s] 68%|██████▊ | 34/50 [00:04<00:02, 7.25it/s] 70%|███████ | 35/50 [00:05<00:02, 7.26it/s] 72%|███████▏ | 36/50 [00:05<00:01, 7.25it/s] 74%|███████▍ | 37/50 [00:05<00:01, 7.23it/s] 76%|███████▌ | 38/50 [00:05<00:01, 7.24it/s] 78%|███████▊ | 39/50 [00:05<00:01, 7.17it/s] 80%|████████ | 40/50 [00:05<00:01, 7.19it/s] 82%|████████▏ | 41/50 [00:05<00:01, 7.19it/s] 84%|████████▍ | 42/50 [00:06<00:01, 7.21it/s] 86%|████████▌ | 43/50 [00:06<00:00, 7.23it/s] 88%|████████▊ | 44/50 [00:06<00:00, 7.26it/s] 90%|█████████ | 45/50 [00:06<00:00, 7.28it/s] 92%|█████████▏| 46/50 [00:06<00:00, 7.28it/s] 94%|█████████▍| 47/50 [00:06<00:00, 7.28it/s] 96%|█████████▌| 48/50 [00:06<00:00, 7.29it/s] 96%|█████████▌| 48/50 [00:06<00:00, 7.02it/s]
Version Details
- Version ID
e671ffe4e976c0ec813f15a9836ebcfd08857ac2669af6917e3c2549307f9fae- Version Created
- April 7, 2023