camenduru/grm 🔢❓✓🖼️ → 🖼️
About
GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Example Output
Output
Performance Metrics
25.86s
Prediction Time
25.88s
Total Time
All Input Parameters
{ "seed": 21, "model": "Zero123++ v1.2", "fuse_mesh": true, "input_image": "https://replicate.delivery/pbxt/Kf2I8ezAPJ9a6YZJUnDkoGq7urlPtjrA5hRS02D0knxS2KrW/dragon2.png" }
Input Parameters
- seed
- model
- fuse_mesh
- input_image (required)
- Input Image
Output Schema
Output
Example Execution Logs
Running image-to-3d with seed 21... 0%| | 0/30 [00:00<?, ?it/s] 7%|▋ | 2/30 [00:00<00:02, 9.99it/s] 13%|█▎ | 4/30 [00:00<00:02, 10.24it/s] 20%|██ | 6/30 [00:00<00:02, 9.76it/s] 27%|██▋ | 8/30 [00:00<00:02, 10.08it/s] 33%|███▎ | 10/30 [00:00<00:01, 10.21it/s] 40%|████ | 12/30 [00:01<00:01, 10.23it/s] 47%|████▋ | 14/30 [00:01<00:01, 10.30it/s] 53%|█████▎ | 16/30 [00:01<00:01, 10.34it/s] 60%|██████ | 18/30 [00:01<00:01, 10.03it/s] 67%|██████▋ | 20/30 [00:01<00:00, 10.11it/s] 73%|███████▎ | 22/30 [00:02<00:00, 10.19it/s] 80%|████████ | 24/30 [00:02<00:00, 10.20it/s] 87%|████████▋ | 26/30 [00:02<00:00, 10.26it/s] 93%|█████████▎| 28/30 [00:02<00:00, 9.94it/s] 100%|██████████| 30/30 [00:02<00:00, 10.01it/s] 100%|██████████| 30/30 [00:02<00:00, 10.11it/s] Integrate images into the TSDF volume. 0%| | 0/200 [00:00<?, ?it/s] 0%| | 1/200 [00:00<00:26, 7.58it/s] 2%|▏ | 4/200 [00:00<00:10, 18.13it/s] 4%|▍ | 9/200 [00:00<00:06, 29.80it/s] 6%|▋ | 13/200 [00:00<00:07, 24.91it/s] 8%|▊ | 16/200 [00:00<00:07, 25.94it/s] 10%|▉ | 19/200 [00:00<00:08, 21.92it/s] 11%|█ | 22/200 [00:01<00:08, 19.84it/s] 12%|█▎ | 25/200 [00:01<00:08, 20.77it/s] 15%|█▌ | 30/200 [00:01<00:07, 23.61it/s] 16%|█▋ | 33/200 [00:01<00:07, 23.33it/s] 18%|█▊ | 36/200 [00:01<00:06, 24.62it/s] 20%|█▉ | 39/200 [00:01<00:06, 25.79it/s] 21%|██ | 42/200 [00:01<00:07, 22.56it/s] 22%|██▎ | 45/200 [00:01<00:06, 22.93it/s] 24%|██▍ | 49/200 [00:02<00:06, 23.51it/s] 26%|██▌ | 52/200 [00:02<00:06, 24.18it/s] 28%|██▊ | 55/200 [00:02<00:05, 24.87it/s] 29%|██▉ | 58/200 [00:02<00:05, 25.32it/s] 31%|███ | 62/200 [00:02<00:05, 25.29it/s] 32%|███▎ | 65/200 [00:02<00:05, 25.24it/s] 34%|███▍ | 68/200 [00:02<00:05, 25.60it/s] 36%|███▌ | 72/200 [00:02<00:04, 28.64it/s] 38%|███▊ | 76/200 [00:03<00:04, 27.01it/s] 40%|███▉ | 79/200 [00:03<00:04, 26.65it/s] 41%|████ | 82/200 [00:03<00:05, 23.33it/s] 42%|████▎ | 85/200 [00:03<00:04, 24.28it/s] 44%|████▍ | 88/200 [00:03<00:04, 24.93it/s] 46%|████▌ | 92/200 [00:03<00:03, 28.13it/s] 48%|████▊ | 96/200 [00:03<00:03, 30.36it/s] 50%|█████ | 100/200 [00:04<00:03, 27.14it/s] 52%|█████▏ | 104/200 [00:04<00:03, 29.18it/s] 54%|█████▍ | 108/200 [00:04<00:03, 26.40it/s] 56%|█████▌ | 111/200 [00:04<00:03, 26.15it/s] 57%|█████▋ | 114/200 [00:04<00:03, 26.57it/s] 59%|█████▉ | 118/200 [00:04<00:03, 26.03it/s] 60%|██████ | 121/200 [00:04<00:03, 26.25it/s] 62%|██████▎ | 125/200 [00:04<00:02, 28.84it/s] 64%|██████▍ | 129/200 [00:05<00:02, 31.05it/s] 66%|██████▋ | 133/200 [00:05<00:02, 27.33it/s] 68%|██████▊ | 136/200 [00:05<00:02, 27.21it/s] 70%|███████ | 140/200 [00:05<00:02, 29.15it/s] 72%|███████▏ | 143/200 [00:05<00:02, 25.60it/s] 73%|███████▎ | 146/200 [00:05<00:02, 25.64it/s] 75%|███████▌ | 150/200 [00:05<00:01, 28.53it/s] 76%|███████▋ | 153/200 [00:05<00:01, 28.36it/s] 78%|███████▊ | 156/200 [00:06<00:01, 24.70it/s] 80%|████████ | 160/200 [00:06<00:01, 27.08it/s] 82%|████████▏ | 163/200 [00:06<00:01, 26.99it/s] 83%|████████▎ | 166/200 [00:06<00:01, 27.05it/s] 84%|████████▍ | 169/200 [00:06<00:01, 24.02it/s] 87%|████████▋ | 174/200 [00:06<00:00, 29.33it/s] 89%|████████▉ | 178/200 [00:06<00:00, 26.24it/s] 91%|█████████ | 182/200 [00:07<00:00, 28.56it/s] 94%|█████████▎| 187/200 [00:07<00:00, 32.72it/s] 96%|█████████▌| 191/200 [00:07<00:00, 29.52it/s] 98%|█████████▊| 196/200 [00:07<00:00, 33.36it/s] 100%|██████████| 200/200 [00:07<00:00, 26.59it/s] Extract a triangle mesh from the volume and export it. [Open3D DEBUG] [ClusterConnectedTriangles] Compute triangle adjacency [Open3D DEBUG] [ClusterConnectedTriangles] Done computing triangle adjacency [Open3D DEBUG] [ClusterConnectedTriangles] Done clustering, #clusters=46060 [Mesh loading] v: torch.Size([70902, 3]), f: torch.Size([141445, 3]) [Mesh loading] vn: torch.Size([70902, 3]), fn: torch.Size([141445, 3]) tensor(0.2557, device='cuda:0') tensor(0.7722, device='cuda:0')
Version Details
- Version ID
8c489b23ddc6a9b0484f8b6f55f9b24fd792a84a6715d02f7e3ec63325bae4f0
- Version Created
- March 30, 2024