wyhsirius/lia ❓🖼️ → 🖼️
About
Learning to Animate Images via Latent Space Navigation
Example Output
Output
Performance Metrics
17.69s
Prediction Time
81.70s
Total Time
All Input Parameters
{ "model": "vox", "img_source": "https://replicate.delivery/mgxm/8140a5a9-16c5-42ee-90bb-cd755f8ca9bd/mona_lisa.png", "driving_video": "https://replicate.delivery/mgxm/1724727e-d9ea-449b-9cca-2c39a9004350/driving2.mp4" }
Input Parameters
- model
- Choose a dataset.
- img_source (required)
- Input source image.
- driving_video (required)
- Choose a driving video.
Output Schema
Output
Example Execution Logs
==> loading data 0%| | 0/221 [00:00<?, ?it/s]/src/networks/styledecoder.py:439: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release. The boolean parameter 'some' has been replaced with a string parameter 'mode'. Q, R = torch.qr(A, some) should be replaced with Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at ../aten/src/ATen/native/BatchLinearAlgebra.cpp:1937.) Q, R = torch.qr(weight) # get eignvector, orthogonal [n1, n2, n3, n4] /root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torch/nn/functional.py:4003: 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( 0%| | 1/221 [00:00<00:24, 9.01it/s] 1%|▏ | 3/221 [00:00<00:19, 11.40it/s] 2%|▏ | 5/221 [00:00<00:16, 13.35it/s] 3%|▎ | 7/221 [00:00<00:14, 14.31it/s] 4%|▍ | 9/221 [00:00<00:14, 14.73it/s] 5%|▍ | 11/221 [00:00<00:13, 15.04it/s] 6%|▌ | 13/221 [00:00<00:13, 15.34it/s] 7%|▋ | 15/221 [00:01<00:13, 15.43it/s] 8%|▊ | 17/221 [00:01<00:13, 15.44it/s] 9%|▊ | 19/221 [00:01<00:12, 15.55it/s] 10%|▉ | 21/221 [00:01<00:12, 15.59it/s] 10%|█ | 23/221 [00:01<00:12, 15.57it/s] 11%|█▏ | 25/221 [00:01<00:12, 15.63it/s] 12%|█▏ | 27/221 [00:01<00:12, 15.64it/s] 13%|█▎ | 29/221 [00:01<00:12, 15.64it/s] 14%|█▍ | 31/221 [00:02<00:12, 15.66it/s] 15%|█▍ | 33/221 [00:02<00:11, 15.68it/s] 16%|█▌ | 35/221 [00:02<00:11, 15.63it/s] 17%|█▋ | 37/221 [00:02<00:11, 15.61it/s] 18%|█▊ | 39/221 [00:02<00:11, 15.63it/s] 19%|█▊ | 41/221 [00:02<00:11, 15.55it/s] 19%|█▉ | 43/221 [00:02<00:11, 15.63it/s] 20%|██ | 45/221 [00:02<00:11, 15.64it/s] 21%|██▏ | 47/221 [00:03<00:11, 15.55it/s] 22%|██▏ | 49/221 [00:03<00:11, 15.57it/s] 23%|██▎ | 51/221 [00:03<00:10, 15.61it/s] 24%|██▍ | 53/221 [00:03<00:10, 15.52it/s] 25%|██▍ | 55/221 [00:03<00:10, 15.59it/s] 26%|██▌ | 57/221 [00:03<00:10, 15.62it/s] 27%|██▋ | 59/221 [00:03<00:10, 15.56it/s] 28%|██▊ | 61/221 [00:03<00:10, 15.61it/s] 29%|██▊ | 63/221 [00:04<00:10, 15.61it/s] 29%|██▉ | 65/221 [00:04<00:10, 15.56it/s] 30%|███ | 67/221 [00:04<00:09, 15.60it/s] 31%|███ | 69/221 [00:04<00:09, 15.64it/s] 32%|███▏ | 71/221 [00:04<00:09, 15.58it/s] 33%|███▎ | 73/221 [00:04<00:09, 15.58it/s] 34%|███▍ | 75/221 [00:04<00:09, 15.59it/s] 35%|███▍ | 77/221 [00:05<00:09, 15.51it/s] 36%|███▌ | 79/221 [00:05<00:09, 15.53it/s] 37%|███▋ | 81/221 [00:05<00:09, 15.45it/s] 38%|███▊ | 83/221 [00:05<00:08, 15.45it/s] 38%|███▊ | 85/221 [00:05<00:08, 15.45it/s] 39%|███▉ | 87/221 [00:05<00:08, 15.45it/s] 40%|████ | 89/221 [00:05<00:08, 15.48it/s] 41%|████ | 91/221 [00:05<00:08, 15.46it/s] 42%|████▏ | 93/221 [00:06<00:08, 15.48it/s] 43%|████▎ | 95/221 [00:06<00:08, 15.52it/s] 44%|████▍ | 97/221 [00:06<00:08, 15.42it/s] 45%|████▍ | 99/221 [00:06<00:07, 15.47it/s] 46%|████▌ | 101/221 [00:06<00:07, 15.46it/s] 47%|████▋ | 103/221 [00:06<00:07, 15.48it/s] 48%|████▊ | 105/221 [00:06<00:07, 15.48it/s] 48%|████▊ | 107/221 [00:06<00:07, 15.37it/s] 49%|████▉ | 109/221 [00:07<00:07, 15.45it/s] 50%|█████ | 111/221 [00:07<00:07, 15.47it/s] 51%|█████ | 113/221 [00:07<00:06, 15.45it/s] 52%|█████▏ | 115/221 [00:07<00:06, 15.53it/s] 53%|█████▎ | 117/221 [00:07<00:06, 15.52it/s] 54%|█████▍ | 119/221 [00:07<00:06, 15.41it/s] 55%|█████▍ | 121/221 [00:07<00:06, 15.40it/s] 56%|█████▌ | 123/221 [00:07<00:06, 15.42it/s] 57%|█████▋ | 125/221 [00:08<00:06, 15.45it/s] 57%|█████▋ | 127/221 [00:08<00:06, 15.43it/s] 58%|█████▊ | 129/221 [00:08<00:05, 15.47it/s] 59%|█████▉ | 131/221 [00:08<00:05, 15.31it/s] 60%|██████ | 133/221 [00:08<00:05, 15.38it/s] 61%|██████ | 135/221 [00:08<00:05, 15.41it/s] 62%|██████▏ | 137/221 [00:08<00:05, 15.40it/s] 63%|██████▎ | 139/221 [00:09<00:05, 15.44it/s] 64%|██████▍ | 141/221 [00:09<00:05, 15.40it/s] 65%|██████▍ | 143/221 [00:09<00:05, 15.36it/s] 66%|██████▌ | 145/221 [00:09<00:04, 15.42it/s] 67%|██████▋ | 147/221 [00:09<00:04, 15.38it/s] 67%|██████▋ | 149/221 [00:09<00:04, 15.40it/s] 68%|██████▊ | 151/221 [00:09<00:04, 15.30it/s] 69%|██████▉ | 153/221 [00:09<00:04, 15.34it/s] 70%|███████ | 155/221 [00:10<00:04, 15.36it/s] 71%|███████ | 157/221 [00:10<00:04, 15.37it/s] 72%|███████▏ | 159/221 [00:10<00:04, 15.43it/s] 73%|███████▎ | 161/221 [00:10<00:03, 15.35it/s] 74%|███████▍ | 163/221 [00:10<00:03, 15.40it/s] 75%|███████▍ | 165/221 [00:10<00:03, 15.39it/s] 76%|███████▌ | 167/221 [00:10<00:03, 15.37it/s] 76%|███████▋ | 169/221 [00:10<00:03, 15.41it/s] 77%|███████▋ | 171/221 [00:11<00:03, 15.34it/s] 78%|███████▊ | 173/221 [00:11<00:03, 15.30it/s] 79%|███████▉ | 175/221 [00:11<00:03, 15.32it/s] 80%|████████ | 177/221 [00:11<00:02, 15.31it/s] 81%|████████ | 179/221 [00:11<00:02, 15.34it/s] 82%|████████▏ | 181/221 [00:11<00:02, 15.30it/s] 83%|████████▎ | 183/221 [00:11<00:02, 15.34it/s] 84%|████████▎ | 185/221 [00:12<00:02, 15.32it/s] 85%|████████▍ | 187/221 [00:12<00:02, 15.34it/s] 86%|████████▌ | 189/221 [00:12<00:02, 15.31it/s] 86%|████████▋ | 191/221 [00:12<00:01, 15.33it/s] 87%|████████▋ | 193/221 [00:12<00:01, 15.35it/s] 88%|████████▊ | 195/221 [00:12<00:01, 15.32it/s] 89%|████████▉ | 197/221 [00:12<00:01, 15.38it/s] 90%|█████████ | 199/221 [00:12<00:01, 15.30it/s] 91%|█████████ | 201/221 [00:13<00:01, 15.35it/s] 92%|█████████▏| 203/221 [00:13<00:01, 15.34it/s] 93%|█████████▎| 205/221 [00:13<00:01, 15.26it/s] 94%|█████████▎| 207/221 [00:13<00:00, 15.27it/s] 95%|█████████▍| 209/221 [00:13<00:00, 15.22it/s] 95%|█████████▌| 211/221 [00:13<00:00, 15.22it/s] 96%|█████████▋| 213/221 [00:13<00:00, 15.20it/s] 97%|█████████▋| 215/221 [00:13<00:00, 15.24it/s] 98%|█████████▊| 217/221 [00:14<00:00, 15.26it/s] 99%|█████████▉| 219/221 [00:14<00:00, 15.25it/s] 100%|██████████| 221/221 [00:14<00:00, 15.17it/s] 100%|██████████| 221/221 [00:14<00:00, 15.37it/s]
Version Details
- Version ID
4ce4e4aff5bd28c6958b1e3e7628ea80718be56672d92ea8039039a3a152e67d
- Version Created
- June 28, 2022