hcl14/direct3d_s2 🔢🖼️✓❓ → ❓

▶️ 427 runs 📅 Aug 2025 ⚙️ Cog 0.16.2 🔗 GitHub 📄 Paper ⚖️ License

3d-reconstruction game-asset-generation image-to-3d single-image-3d-reconstruction single-view-3d-reconstruction single-view-reconstruction

About

Direct3D‑S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention

Example Output

Output

{"model_file":"https://replicate.delivery/xezq/B44cqsGbWKpDFlMXPEuClO3tGNXnQcpVzyUKqiM35quCGFTF/20250818205548.glb"}

Performance Metrics

181.92s Prediction Time

181.93s Total Time

All Input Parameters

{
  "seed": 123456,
  "image": "https://replicate.delivery/pbxt/NYhi6wrqhRYatTwO2MYm0uV13yWYRpTs1QIbZHVizyYIdq97/ComfyUI_01018_.jpg",
  "simplify": true,
  "use_alpha": false,
  "resolution": "1024",
  "reduce_ratio": 0.95
}

Input Parameters

seed Type: integer: Random seed (leave empty for random)
image Type: string: Input image
simplify Type: booleanDefault: true: Simplify mesh
use_alpha Type: booleanDefault: false: Use Alpha Channel
resolution Default: 1024: SDF Resolution
reduce_ratio Type: numberDefault: 0.95Range: 0.1 - 0.95: Faces Reduction Ratio

Output Schema

model_file Type: stringFormat: uri: Model File

Example Execution Logs

[Direct3D-S2] Using seed: 123456
dense Sampling::   0%|          | 0/50 [00:00<?, ?it/s]
dense Sampling::   4%|▍         | 2/50 [00:00<00:03, 13.20it/s]
dense Sampling::   8%|▊         | 4/50 [00:00<00:03, 12.13it/s]
dense Sampling::  12%|█▏        | 6/50 [00:00<00:03, 11.87it/s]
dense Sampling::  16%|█▌        | 8/50 [00:00<00:03, 11.70it/s]
dense Sampling::  20%|██        | 10/50 [00:00<00:03, 11.61it/s]
dense Sampling::  24%|██▍       | 12/50 [00:01<00:03, 11.54it/s]
dense Sampling::  28%|██▊       | 14/50 [00:01<00:03, 11.51it/s]
dense Sampling::  32%|███▏      | 16/50 [00:01<00:02, 11.47it/s]
dense Sampling::  36%|███▌      | 18/50 [00:01<00:02, 11.46it/s]
dense Sampling::  40%|████      | 20/50 [00:01<00:02, 11.44it/s]
dense Sampling::  44%|████▍     | 22/50 [00:01<00:02, 11.43it/s]
dense Sampling::  48%|████▊     | 24/50 [00:02<00:02, 11.40it/s]
dense Sampling::  52%|█████▏    | 26/50 [00:02<00:02, 11.39it/s]
dense Sampling::  56%|█████▌    | 28/50 [00:02<00:01, 11.40it/s]
dense Sampling::  60%|██████    | 30/50 [00:02<00:01, 11.39it/s]
dense Sampling::  64%|██████▍   | 32/50 [00:02<00:01, 11.39it/s]
dense Sampling::  68%|██████▊   | 34/50 [00:02<00:01, 11.38it/s]
dense Sampling::  72%|███████▏  | 36/50 [00:03<00:01, 11.37it/s]
dense Sampling::  76%|███████▌  | 38/50 [00:03<00:01, 11.35it/s]
dense Sampling::  80%|████████  | 40/50 [00:03<00:00, 11.37it/s]
dense Sampling::  84%|████████▍ | 42/50 [00:03<00:00, 11.37it/s]
dense Sampling::  88%|████████▊ | 44/50 [00:03<00:00, 11.39it/s]
dense Sampling::  92%|█████████▏| 46/50 [00:04<00:00, 11.39it/s]
dense Sampling::  96%|█████████▌| 48/50 [00:04<00:00, 11.40it/s]
dense Sampling:: 100%|██████████| 50/50 [00:04<00:00, 11.38it/s]
dense Sampling:: 100%|██████████| 50/50 [00:04<00:00, 11.47it/s]
sparse512 Sampling::   0%|          | 0/30 [00:00<?, ?it/s]
sparse512 Sampling::   3%|▎         | 1/30 [00:00<00:16,  1.78it/s]
sparse512 Sampling::   7%|▋         | 2/30 [00:01<00:15,  1.80it/s]
sparse512 Sampling::  10%|█         | 3/30 [00:01<00:15,  1.80it/s]
sparse512 Sampling::  13%|█▎        | 4/30 [00:02<00:14,  1.80it/s]
sparse512 Sampling::  17%|█▋        | 5/30 [00:02<00:13,  1.80it/s]
sparse512 Sampling::  20%|██        | 6/30 [00:03<00:13,  1.80it/s]
sparse512 Sampling::  23%|██▎       | 7/30 [00:03<00:12,  1.79it/s]
sparse512 Sampling::  27%|██▋       | 8/30 [00:04<00:12,  1.80it/s]
sparse512 Sampling::  30%|███       | 9/30 [00:05<00:11,  1.80it/s]
sparse512 Sampling::  33%|███▎      | 10/30 [00:05<00:11,  1.79it/s]
sparse512 Sampling::  37%|███▋      | 11/30 [00:06<00:10,  1.80it/s]
sparse512 Sampling::  40%|████      | 12/30 [00:06<00:10,  1.80it/s]
sparse512 Sampling::  43%|████▎     | 13/30 [00:07<00:09,  1.80it/s]
sparse512 Sampling::  47%|████▋     | 14/30 [00:07<00:08,  1.80it/s]
sparse512 Sampling::  50%|█████     | 15/30 [00:08<00:08,  1.80it/s]
sparse512 Sampling::  53%|█████▎    | 16/30 [00:08<00:07,  1.80it/s]
sparse512 Sampling::  57%|█████▋    | 17/30 [00:09<00:07,  1.80it/s]
sparse512 Sampling::  60%|██████    | 18/30 [00:10<00:06,  1.80it/s]
sparse512 Sampling::  63%|██████▎   | 19/30 [00:10<00:06,  1.80it/s]
sparse512 Sampling::  67%|██████▋   | 20/30 [00:11<00:05,  1.80it/s]
sparse512 Sampling::  70%|███████   | 21/30 [00:11<00:05,  1.80it/s]
sparse512 Sampling::  73%|███████▎  | 22/30 [00:12<00:04,  1.80it/s]
sparse512 Sampling::  77%|███████▋  | 23/30 [00:12<00:03,  1.80it/s]
sparse512 Sampling::  80%|████████  | 24/30 [00:13<00:03,  1.79it/s]
sparse512 Sampling::  83%|████████▎ | 25/30 [00:13<00:02,  1.79it/s]
sparse512 Sampling::  87%|████████▋ | 26/30 [00:14<00:02,  1.79it/s]
sparse512 Sampling::  90%|█████████ | 27/30 [00:15<00:01,  1.79it/s]
sparse512 Sampling::  93%|█████████▎| 28/30 [00:15<00:01,  1.80it/s]
sparse512 Sampling::  97%|█████████▋| 29/30 [00:16<00:00,  1.80it/s]
sparse512 Sampling:: 100%|██████████| 30/30 [00:16<00:00,  1.80it/s]
sparse512 Sampling:: 100%|██████████| 30/30 [00:16<00:00,  1.80it/s]
  0%|          | 0/3 [00:00<?, ?it/s]
 33%|███▎      | 1/3 [00:00<00:00,  7.88it/s]
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100%|██████████| 3/3 [00:01<00:00,  1.73it/s]
number of latent tokens: 83530
sparse1024 Sampling::   0%|          | 0/15 [00:00<?, ?it/s]
sparse1024 Sampling::   7%|▋         | 1/15 [00:03<00:42,  3.03s/it]
sparse1024 Sampling::  13%|█▎        | 2/15 [00:06<00:39,  3.01s/it]
sparse1024 Sampling::  20%|██        | 3/15 [00:09<00:36,  3.02s/it]
sparse1024 Sampling::  27%|██▋       | 4/15 [00:12<00:33,  3.03s/it]
sparse1024 Sampling::  33%|███▎      | 5/15 [00:15<00:30,  3.03s/it]
sparse1024 Sampling::  40%|████      | 6/15 [00:18<00:27,  3.04s/it]
sparse1024 Sampling::  47%|████▋     | 7/15 [00:21<00:24,  3.04s/it]
sparse1024 Sampling::  53%|█████▎    | 8/15 [00:24<00:21,  3.04s/it]
sparse1024 Sampling::  60%|██████    | 9/15 [00:27<00:18,  3.04s/it]
sparse1024 Sampling::  67%|██████▋   | 10/15 [00:30<00:15,  3.04s/it]
sparse1024 Sampling::  73%|███████▎  | 11/15 [00:33<00:12,  3.03s/it]
sparse1024 Sampling::  80%|████████  | 12/15 [00:36<00:09,  3.04s/it]
sparse1024 Sampling::  87%|████████▋ | 13/15 [00:39<00:06,  3.04s/it]
sparse1024 Sampling::  93%|█████████▎| 14/15 [00:42<00:03,  3.04s/it]
sparse1024 Sampling:: 100%|██████████| 15/15 [00:45<00:00,  3.03s/it]
sparse1024 Sampling:: 100%|██████████| 15/15 [00:45<00:00,  3.03s/it]
  0%|          | 0/3 [00:00<?, ?it/s]
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100%|██████████| 3/3 [00:01<00:00,  2.08it/s]
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Before postprocess: 3859682 vertices, 7719524 faces
0%|          [00:00<?]
Decimating Mesh:   0%|          [00:00<?]
Decimating Mesh:  10%|█         [00:01<00:10]
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Decimating Mesh:  81%|████████▏ [00:40<00:12]
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Decimating Mesh:  82%|████████▏ [00:40<00:11]
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Decimating Mesh:  83%|████████▎ [00:41<00:11]
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Decimating Mesh:  86%|████████▌ [00:43<00:09]
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Decimating Mesh:  90%|█████████ [00:45<00:06]
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Decimating Mesh:  91%|█████████ [00:46<00:06]
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Decimating Mesh:  91%|█████████▏[00:46<00:05]
Decimating Mesh:  92%|█████████▏[00:46<00:05]
Decimating Mesh:  92%|█████████▏[00:46<00:05]
Decimating Mesh:  92%|█████████▏[00:47<00:05]
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Decimating Mesh:  93%|█████████▎[00:47<00:05]
Decimating Mesh:  93%|█████████▎[00:47<00:04]
Decimating Mesh:  93%|█████████▎[00:47<00:04]
Decimating Mesh:  93%|█████████▎[00:47<00:04]
Decimating Mesh:  93%|█████████▎[00:48<00:04]
Decimating Mesh:  94%|█████████▎[00:48<00:04]
Decimating Mesh:  94%|█████████▍[00:48<00:04]
Decimating Mesh:  94%|█████████▍[00:48<00:04]
Decimating Mesh:  94%|█████████▍[00:48<00:04]
Decimating Mesh:  94%|█████████▍[00:48<00:04]
Decimating Mesh:  95%|█████████▍[00:48<00:03]
Decimating Mesh:  95%|█████████▍[00:49<00:03]
Decimating Mesh:  95%|█████████▌[00:49<00:03]
Decimating Mesh:  95%|█████████▌[00:49<00:03]
Decimating Mesh:  95%|█████████▌[00:49<00:03]
Decimating Mesh:  96%|█████████▌[00:49<00:03]
Decimating Mesh:  96%|█████████▌[00:49<00:02]
Decimating Mesh: 100%|██████████[00:50<00:00]
Decimating Mesh: 100%|██████████[00:50<00:00]
Decimating Mesh: 100%|██████████[00:50<00:00]
After decimate: 192911 vertices, 385976 faces

Version Details

Version ID: b1224f7d357132c5dfff628d97f386e4aa2f2b0fee81b12ead9cf3593748e733
Version Created: August 18, 2025

Run on Replicate →