twn39/lama 🖼️ → 🖼️
About
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Example Output
Output
Performance Metrics
7.06s
Prediction Time
7.10s
Total Time
All Input Parameters
{
"mask": "https://replicate.delivery/pbxt/JvTNNI5GXp1iol2Sjf3XYfUX83Bemhx4Q5TwoAOeZJXrvc8m/image_inpainting_mask.png",
"image": "https://replicate.delivery/pbxt/JvTNNPkuMNTMjetsF4LO9eKdXAPy9xkNqUcphkbFcA2WF2TH/image_inpainting.png"
}
Input Parameters
- mask (required)
- Mask input image
- image (required)
- Origin input image
Output Schema
Output
Example Execution Logs
Original image too large for refinement! Resizing (999, 1499) to (774, 1162)... 0%| | 0/15 [00:00<?, ?it/s] 0%| | 0/15 [00:00<?, ?it/s] Refining scale 2 using scale 1 ...current loss: 0.1006: 0%| | 0/15 [00:00<?, ?it/s] Refining scale 2 using scale 1 ...current loss: 0.1006: 7%|▋ | 1/15 [00:00<00:03, 3.54it/s] Refining scale 2 using scale 1 ...current loss: 0.0888: 7%|▋ | 1/15 [00:00<00:03, 3.54it/s] Refining scale 2 using scale 1 ...current loss: 0.0888: 13%|█▎ | 2/15 [00:00<00:03, 3.30it/s] Refining scale 2 using scale 1 ...current loss: 0.0810: 13%|█▎ | 2/15 [00:00<00:03, 3.30it/s] Refining scale 2 using scale 1 ...current loss: 0.0810: 20%|██ | 3/15 [00:00<00:03, 3.23it/s] Refining scale 2 using scale 1 ...current loss: 0.0761: 20%|██ | 3/15 [00:01<00:03, 3.23it/s] Refining scale 2 using scale 1 ...current loss: 0.0761: 27%|██▋ | 4/15 [00:01<00:03, 3.20it/s] Refining scale 2 using scale 1 ...current loss: 0.0722: 27%|██▋ | 4/15 [00:01<00:03, 3.20it/s] Refining scale 2 using scale 1 ...current loss: 0.0722: 33%|███▎ | 5/15 [00:01<00:03, 3.18it/s] Refining scale 2 using scale 1 ...current loss: 0.0692: 33%|███▎ | 5/15 [00:01<00:03, 3.18it/s] Refining scale 2 using scale 1 ...current loss: 0.0692: 40%|████ | 6/15 [00:01<00:02, 3.17it/s] Refining scale 2 using scale 1 ...current loss: 0.0663: 40%|████ | 6/15 [00:02<00:02, 3.17it/s] Refining scale 2 using scale 1 ...current loss: 0.0663: 47%|████▋ | 7/15 [00:02<00:02, 3.16it/s] Refining scale 2 using scale 1 ...current loss: 0.0640: 47%|████▋ | 7/15 [00:02<00:02, 3.16it/s] Refining scale 2 using scale 1 ...current loss: 0.0640: 53%|█████▎ | 8/15 [00:02<00:02, 3.16it/s] Refining scale 2 using scale 1 ...current loss: 0.0618: 53%|█████▎ | 8/15 [00:02<00:02, 3.16it/s] Refining scale 2 using scale 1 ...current loss: 0.0618: 60%|██████ | 9/15 [00:02<00:01, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0600: 60%|██████ | 9/15 [00:02<00:01, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0600: 67%|██████▋ | 10/15 [00:03<00:01, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0582: 67%|██████▋ | 10/15 [00:03<00:01, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0582: 73%|███████▎ | 11/15 [00:03<00:01, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0567: 73%|███████▎ | 11/15 [00:03<00:01, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0567: 80%|████████ | 12/15 [00:03<00:00, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0553: 80%|████████ | 12/15 [00:03<00:00, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0553: 87%|████████▋ | 13/15 [00:04<00:00, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0540: 87%|████████▋ | 13/15 [00:04<00:00, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0540: 93%|█████████▎| 14/15 [00:04<00:00, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0528: 93%|█████████▎| 14/15 [00:04<00:00, 3.15it/s] Refining scale 2 using scale 1 ...current loss: 0.0528: 100%|██████████| 15/15 [00:04<00:00, 3.69it/s]
Version Details
- Version ID
2b91ca2340801c2a5be745612356fac36a17f698354a07f48a62d564d3b3a7a0- Version Created
- December 8, 2023