zsxkib/moore-animateanyone 🔢🖼️ → 🖼️
About
Unofficial Re-Trained AnimateAnyone (Image + DWPose Video → Animated Video of Image)

Example Output
Output
Performance Metrics
449.09s
Prediction Time
579.68s
Total Time
All Input Parameters
{ "width": 512, "height": 768, "length": 128, "guidance_scale": 3.5, "sampling_steps": 25, "motion_sequence": "https://replicate.delivery/pbxt/KFWQJTPDhFou0smS93XVLMlyVQIedFa2GiP4C1gfTaW5GnQF/anyone-video-5_kps.mp4", "reference_image": "https://replicate.delivery/pbxt/KFWQJsyppeXHrUBQnwo5PS4eaAFe0utu15cvH5TUSrKz3hOR/anyone-10.png" }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Desired width of the output video
- height
- Desired height of the output video
- length
- Desired length of the output video in frames
- guidance_scale
- Scale for guidance during animation generation
- sampling_steps
- Number of sampling steps for the animation
- motion_sequence (required)
- Path to the motion sequence video
- reference_image (required)
- Path to the reference image
Output Schema
Output
Example Execution Logs
Using seed: 22384 Some weights of the model checkpoint were not used when initializing UNet2DConditionModel: ['conv_norm_out.weight, conv_norm_out.bias, conv_out.weight, conv_out.bias'] /root/.pyenv/versions/3.11.7/lib/python3.11/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() return self.fget.__get__(instance, owner)() /src/src/pipelines/pipeline_pose2vid_long.py:406: FutureWarning: Accessing config attribute `in_channels` directly via 'UNet3DConditionModel' object attribute is deprecated. Please access 'in_channels' over 'UNet3DConditionModel's config object instead, e.g. 'unet.config.in_channels'. num_channels_latents = self.denoising_unet.in_channels 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:15<06:16, 15.70s/it] 8%|▊ | 2/25 [00:31<06:00, 15.68s/it] 12%|█▏ | 3/25 [00:47<05:45, 15.70s/it] 16%|█▌ | 4/25 [01:02<05:30, 15.72s/it] 20%|██ | 5/25 [01:18<05:14, 15.74s/it] 24%|██▍ | 6/25 [01:34<04:59, 15.77s/it] 28%|██▊ | 7/25 [01:50<04:44, 15.78s/it] 32%|███▏ | 8/25 [02:06<04:28, 15.80s/it] 36%|███▌ | 9/25 [02:21<04:13, 15.82s/it] 40%|████ | 10/25 [02:37<03:57, 15.83s/it] 44%|████▍ | 11/25 [02:53<03:41, 15.84s/it] 48%|████▊ | 12/25 [03:09<03:26, 15.85s/it] 52%|█████▏ | 13/25 [03:25<03:10, 15.86s/it] 56%|█████▌ | 14/25 [03:41<02:54, 15.86s/it] 60%|██████ | 15/25 [03:57<02:38, 15.86s/it] 64%|██████▍ | 16/25 [04:12<02:22, 15.86s/it] 68%|██████▊ | 17/25 [04:28<02:06, 15.87s/it] 72%|███████▏ | 18/25 [04:44<01:51, 15.87s/it] 76%|███████▌ | 19/25 [05:00<01:35, 15.87s/it] 80%|████████ | 20/25 [05:16<01:19, 15.87s/it] 84%|████████▍ | 21/25 [05:32<01:03, 15.87s/it] 88%|████████▊ | 22/25 [05:48<00:47, 15.87s/it] 92%|█████████▏| 23/25 [06:04<00:31, 15.87s/it] 96%|█████████▌| 24/25 [06:19<00:15, 15.87s/it] 100%|██████████| 25/25 [06:35<00:00, 15.87s/it] 100%|██████████| 25/25 [06:35<00:00, 15.83s/it] 0%| | 0/128 [00:00<?, ?it/s] 3%|▎ | 4/128 [00:00<00:03, 39.03it/s] 6%|▋ | 8/128 [00:00<00:06, 17.15it/s] 9%|▊ | 11/128 [00:00<00:07, 14.88it/s] 10%|█ | 13/128 [00:00<00:08, 14.10it/s] 12%|█▏ | 15/128 [00:00<00:08, 13.57it/s] 13%|█▎ | 17/128 [00:01<00:08, 13.20it/s] 15%|█▍ | 19/128 [00:01<00:08, 12.94it/s] 16%|█▋ | 21/128 [00:01<00:08, 12.75it/s] 18%|█▊ | 23/128 [00:01<00:08, 12.63it/s] 20%|█▉ | 25/128 [00:01<00:08, 12.52it/s] 21%|██ | 27/128 [00:01<00:08, 12.46it/s] 23%|██▎ | 29/128 [00:02<00:07, 12.42it/s] 24%|██▍ | 31/128 [00:02<00:07, 12.40it/s] 26%|██▌ | 33/128 [00:02<00:07, 12.38it/s] 27%|██▋ | 35/128 [00:02<00:07, 12.37it/s] 29%|██▉ | 37/128 [00:02<00:07, 12.37it/s] 30%|███ | 39/128 [00:02<00:07, 12.35it/s] 32%|███▏ | 41/128 [00:03<00:07, 12.34it/s] 34%|███▎ | 43/128 [00:03<00:06, 12.33it/s] 35%|███▌ | 45/128 [00:03<00:06, 12.32it/s] 37%|███▋ | 47/128 [00:03<00:06, 12.33it/s] 38%|███▊ | 49/128 [00:03<00:06, 12.33it/s] 40%|███▉ | 51/128 [00:03<00:06, 12.33it/s] 41%|████▏ | 53/128 [00:04<00:06, 12.33it/s] 43%|████▎ | 55/128 [00:04<00:05, 12.34it/s] 45%|████▍ | 57/128 [00:04<00:05, 12.34it/s] 46%|████▌ | 59/128 [00:04<00:05, 12.33it/s] 48%|████▊ | 61/128 [00:04<00:05, 12.33it/s] 49%|████▉ | 63/128 [00:04<00:05, 12.33it/s] 51%|█████ | 65/128 [00:05<00:05, 12.32it/s] 52%|█████▏ | 67/128 [00:05<00:04, 12.33it/s] 54%|█████▍ | 69/128 [00:05<00:04, 12.33it/s] 55%|█████▌ | 71/128 [00:05<00:04, 12.34it/s] 57%|█████▋ | 73/128 [00:05<00:04, 12.34it/s] 59%|█████▊ | 75/128 [00:05<00:04, 12.34it/s] 60%|██████ | 77/128 [00:06<00:04, 12.33it/s] 62%|██████▏ | 79/128 [00:06<00:03, 12.33it/s] 63%|██████▎ | 81/128 [00:06<00:03, 12.33it/s] 65%|██████▍ | 83/128 [00:06<00:03, 12.32it/s] 66%|██████▋ | 85/128 [00:06<00:03, 12.33it/s] 68%|██████▊ | 87/128 [00:06<00:03, 12.33it/s] 70%|██████▉ | 89/128 [00:06<00:03, 12.34it/s] 71%|███████ | 91/128 [00:07<00:02, 12.34it/s] 73%|███████▎ | 93/128 [00:07<00:02, 12.34it/s] 74%|███████▍ | 95/128 [00:07<00:02, 12.34it/s] 76%|███████▌ | 97/128 [00:07<00:02, 12.34it/s] 77%|███████▋ | 99/128 [00:07<00:02, 12.33it/s] 79%|███████▉ | 101/128 [00:07<00:02, 12.32it/s] 80%|████████ | 103/128 [00:08<00:02, 12.33it/s] 82%|████████▏ | 105/128 [00:08<00:01, 12.33it/s] 84%|████████▎ | 107/128 [00:08<00:01, 12.34it/s] 85%|████████▌ | 109/128 [00:08<00:01, 12.34it/s] 87%|████████▋ | 111/128 [00:08<00:01, 12.33it/s] 88%|████████▊ | 113/128 [00:08<00:01, 12.33it/s] 90%|████████▉ | 115/128 [00:09<00:01, 12.32it/s] 91%|█████████▏| 117/128 [00:09<00:00, 12.31it/s] 93%|█████████▎| 119/128 [00:09<00:00, 12.32it/s] 95%|█████████▍| 121/128 [00:09<00:00, 12.32it/s] 96%|█████████▌| 123/128 [00:09<00:00, 12.32it/s] 98%|█████████▊| 125/128 [00:09<00:00, 12.33it/s] 99%|█████████▉| 127/128 [00:10<00:00, 12.32it/s] 100%|██████████| 128/128 [00:10<00:00, 12.60it/s]
Version Details
- Version ID
c8b589961b86d3fdffeef13e26fa8465b1935ac3350f2a332dddc1ee4be50df2
- Version Created
- January 18, 2024