tencent/hunyuan3d-2 🔢🖼️❓✓ → ❓

▶️ 9.2K runs 📅 Feb 2025 ⚙️ Cog 0.13.7 🔗 GitHub 📄 Paper ⚖️ License

3d-mesh-generation game-asset-generation image-to-3d

Performance

27.7sTypical run time

~170sCold start (first call)

9.2KTotal runs

About

Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Example Output

Output

{"mesh":"https://replicate.delivery/xezq/fTVMavpt4AWTUywffP18AFgTMvb1Sy8qmXCmFIs2LXKcf13QB/gray_mesh.glb"}

Performance Metrics

27.69s Prediction Time

169.80s Total Time

All Input Parameters

{
  "seed": 1234,
  "image": "https://replicate.delivery/pbxt/MTXzbLBT7u5K94G3SnW61H37xL4zVyC4PZuwZAki3pxlgvK5/419.png",
  "steps": 50,
  "guidance_scale": 5.5,
  "octree_resolution": 256,
  "remove_background": true
}

Input Parameters

seed Type: integerDefault: 1234: Random seed for generation
image Type: string: Input image for generating 3D shape
steps Type: integerDefault: 50Range: 20 - 50: Number of inference steps
guidance_scale Type: numberDefault: 5.5Range: 1 - 20: Guidance scale for generation
octree_resolution Default: 256: Octree resolution for mesh generation
remove_background Type: booleanDefault: true: Whether to remove background from input image

Output Schema

mesh Type: stringFormat: uri: Mesh

Example Execution Logs

/root/.pyenv/versions/3.10.16/lib/python3.10/site-packages/PIL/Image.py:970: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images
warnings.warn(
Using border_ratio from init: 0.15
Diffusion Sampling::   0%|          | 0/50 [00:00<?, ?it/s]
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Diffusion Sampling::  10%|█         | 5/50 [00:00<00:07,  5.91it/s]
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Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00,  5.34it/s]
MC Level 0.0 Implicit Function::   0%|          | 0/2122 [00:00<?, ?it/s]
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Version Details

Version ID: b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb
Version Created: February 10, 2025

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