fire/trellis 🔢🖼️✓ → ❓
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
- Random seed for generation
- images (required)
- List of input images to generate 3D asset from
- texture_size
- GLB Extraction - Texture Size (only used if generate_model=True)
- mesh_simplify
- GLB Extraction - Mesh Simplification (only used if generate_model=True)
- generate_color
- Generate color video render
- generate_model
- Generate 3D model file (GLB)
- randomize_seed
- Randomize seed
- generate_normal
- Generate normal video render
- save_gaussian_ply
- Save Gaussian point cloud as PLY file
- ss_sampling_steps
- Stage 1: Sparse Structure Generation - Sampling Steps
- slat_sampling_steps
- Stage 2: Structured Latent Generation - Sampling Steps
- return_no_background
- Return the preprocessed images without background
- ss_guidance_strength
- Stage 1: Sparse Structure Generation - Guidance Strength
- slat_guidance_strength
- 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. 0% done 2% done 5% done 7% done 10% done 13% done 15% done 18% done 21% done 23% done 26% done 28% done 31% done 34% done 36% done 39% done 42% done 44% done 47% done 50% done 52% done 55% done 57% done 60% done 63% done 65% done 68% done 71% done 73% done 76% done 78% done 81% done 84% done 86% done 89% done 92% done 94% done 97% done 100% done 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