fire/trellis 🔢🖼️✓ → ❓

▶️ 366 runs 📅 Dec 2024 ⚙️ Cog 0.14.3 🔗 GitHub 📄 Paper ⚖️ License
3d-reconstruction game-asset-generation image-to-3d point-cloud

Performance

57.8sTypical run time
~280sCold start (first call)
366Total runs

About

For the paper "Structured 3D Latents for Scalable and Versatile 3D Generation".

Example Output

Output

Performance Metrics

57.75s Prediction Time
279.86s Total Time
All Input Parameters
{
  "seed": 0,
  "image": "https://replicate.delivery/pbxt/MCprdYbZYopM9oV25EeGmNQdKjeYjIB6sfyei5rTFeaXEoun/Set_in_role_playing_game__A_young_woman_with_realistic_adult_proportio_S1009161289_St8_G1.png",
  "texture_size": 2048,
  "mesh_simplify": 0,
  "generate_color": false,
  "generate_model": true,
  "randomize_seed": true,
  "generate_normal": false,
  "ss_sampling_steps": 12,
  "slat_sampling_steps": 12,
  "ss_guidance_strength": 7.5,
  "slat_guidance_strength": 3
}
Input Parameters
seed Type: integerDefault: 0
Random seed for generation
images (required) Type: array
List of input images to generate 3D asset from
texture_size Type: integerDefault: 512Range: 512 - 2048
GLB Extraction - Texture Size (only used if generate_model=True)
mesh_simplify Type: numberDefault: 0.65Range: 0 - 0.98
GLB Extraction - Mesh Simplification (only used if generate_model=True)
generate_color Type: booleanDefault: true
Generate color video render
generate_model Type: booleanDefault: false
Generate 3D model file (GLB)
randomize_seed Type: booleanDefault: true
Randomize seed
generate_normal Type: booleanDefault: false
Generate normal video render
save_gaussian_ply Type: booleanDefault: false
Save Gaussian point cloud as PLY file
ss_sampling_steps Type: integerDefault: 12Range: 1 - 50
Stage 1: Sparse Structure Generation - Sampling Steps
slat_sampling_steps Type: integerDefault: 12Range: 1 - 50
Stage 2: Structured Latent Generation - Sampling Steps
return_no_background Type: booleanDefault: false
Return the preprocessed images without background
ss_guidance_strength Type: numberDefault: 7.5Range: 0 - 10
Stage 1: Sparse Structure Generation - Guidance Strength
slat_guidance_strength Type: numberDefault: 3Range: 0 - 10
Stage 2: Structured Latent Generation - Guidance Strength
Output Schema
Example Execution Logs
INFO:predict:Loading and preprocessing input image...
INFO:predict:Saved image without background
INFO:predict:Using randomized seed: 1505015317
INFO:predict:Running TRELLIS pipeline...
Sampling:   0%|          | 0/12 [00:00<?, ?it/s]
Sampling:  17%|█▋        | 2/12 [00:00<00:00, 13.09it/s]
Sampling:  33%|███▎      | 4/12 [00:00<00:00, 13.14it/s]
Sampling:  50%|█████     | 6/12 [00:00<00:00, 13.16it/s]
Sampling:  67%|██████▋   | 8/12 [00:00<00:00, 13.21it/s]
Sampling:  83%|████████▎ | 10/12 [00:00<00:00, 13.18it/s]
Sampling: 100%|██████████| 12/12 [00:00<00:00, 14.37it/s]
Sampling:   0%|          | 0/12 [00:00<?, ?it/s]
Sampling:   8%|▊         | 1/12 [00:00<00:01,  7.12it/s]
Sampling:  25%|██▌       | 3/12 [00:00<00:00,  9.17it/s]
Sampling:  42%|████▏     | 5/12 [00:00<00:00,  9.66it/s]
Sampling:  58%|█████▊    | 7/12 [00:00<00:00,  9.89it/s]
Sampling:  75%|███████▌  | 9/12 [00:00<00:00,  9.99it/s]
Sampling:  92%|█████████▏| 11/12 [00:01<00:00, 11.01it/s]
Sampling: 100%|██████████| 12/12 [00:01<00:00, 10.70it/s]
INFO:predict:TRELLIS pipeline complete!
INFO:predict:Available output formats: dict_keys(['mesh', 'gaussian'])
INFO:predict:Generating GLB model...
INFO- Loaded 58336 vertices and 116560 faces.
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Rendering: 0it [00:00, ?it/s]
Rendering: 15it [00:00, 147.37it/s]
Rendering: 34it [00:00, 168.88it/s]
Rendering: 53it [00:00, 175.60it/s]
Rendering: 72it [00:00, 180.23it/s]
Rendering: 91it [00:00, 181.93it/s]
Rendering: 100it [00:00, 177.28it/s]
INFO:predict:GLB model generation complete!
INFO:predict:Prediction complete! Returning results...
Version Details
Version ID
ef5f7aacc4779906d75e891763af9db45f061ea382e263081e2b1ed38a5d72da
Version Created
March 29, 2025
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