Tencent-Hunyuan/Hunyuan3D-2.1

Tencent-Hunyuan/Hunyuan3D-2.1

Description: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

Language: Python

License: NOASSERTION

Stars: 3535

Forks: 522

Open issues: 151

Created: 2025-06-13T15:45:50Z

Pushed: 2025-10-17T10:10:07Z

Default branch: main

Fork: no

Archived: no

README:

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🔥 News

• Jul 26, 2025: 🤗 We release the first open-source, simulation-capable, immersive 3D world generation model, HunyuanWorld-1.0!
• Jun 19, 2025: 👋 We present the technical report of Hunyuan3D-2.1, please check out the details and spark some discussion!
• Jun 13, 2025: 🤗 We release the first production-ready 3D asset generation model, Hunyuan3D-2.1!

> Join our [Wechat](#) and [Discord](https://discord.gg/dNBrdrGGMa) group to discuss and find help from us.

| Wechat Group | Xiaohongshu | X | Discord | |--------------------------------------------------|-------------------------------------------------------|---------------------------------------------|---------------------------------------------------| | | | | |

🤗 Community Contribution Leaderboard

1. By @visualbruno

• ComfyUI-Hunyuan3d-2-1: https://github.com/visualbruno/ComfyUI-Hunyuan3d-2-1

2. By @VR-Jobs

• Hunyuan3d-2-1 Unity Support: https://github.com/VR-Jobs/Hunyuan3D-2.1-Unity-XR-PC-Phone

☯️ Hunyuan3D 2.1

Architecture

Tencent Hunyuan3D-2.1 is a scalable 3D asset creation system that advances state-of-the-art 3D generation through two pivotal innovations: Fully Open-Source Framework and Physically-Based Rendering (PBR) Texture Synthesis. For the first time, the system releases full model weights and training code, enabling community developers to directly fine-tune and extend the model for diverse downstream applications. This transparency accelerates academic research and industrial deployment. Moreover, replacing the prior RGB-based texture model, the upgraded PBR pipeline leverages physics-grounded material simulation to generate textures with photorealistic light interaction (e.g., metallic reflections, subsurface scattering).

Performance

We have evaluated Hunyuan3D 2.1 with other open-source as well as close-source 3d-generation methods. The numerical results indicate that Hunyuan3D 2.1 surpasses all baselines in the quality of generated textured 3D assets and the condition following ability.

| Model | ULIP-T(⬆) | ULIP-I(⬆) | Uni3D-T(⬆) | Uni3D-I(⬆) | |-------------------------|-----------|-------------|-------------|---------------| | Michelangelo | 0.0752 | 0.1152 | 0.2133 | 0.2611 | | Craftsman | 0.0745 | 0.1296 | 0.2375 | 0.2987 | | TripoSG | 0.0767 | 0.1225 | 0.2506 | 0.3129 | | Step1X-3D | 0.0735 | 0.1183 | 0.2554 | 0.3195 | | Trellis | 0.0769 | 0.1267 | 0.2496 | 0.3116 | | Direct3D-S2 | 0.0706 | 0.1134 | 0.2346 | 0.2930 | | Hunyuan3D-Shape-2.1 | 0.0774 | 0.1395 | 0.2556 | 0.3213 |

| Model | CLIP-FiD(⬇) | CMMD(⬇) | CLIP-I(⬆) | LPIPS(⬇) | |-------------------------|-----------|-------------|-------------|---------------| | SyncMVD-IPA | 28.39 | 2.397 | 0.8823 | 0.1423 | | TexGen | 28.24 | 2.448 | 0.8818 | 0.1331 | | Hunyuan3D-2.0 | 26.44 | 2.318 | 0.8893 | 0.1261 | | Hunyuan3D-Paint-2.1 | 24.78 | 2.191 | 0.9207 | 0.1211 |

🎁 Models Zoo

It takes 10 GB VRAM for shape generation, 21GB for texture generation and 29GB for shape and texture generation in total.

| Model | Description | Date | Size | Huggingface | |----------------------------|-----------------------------|------------|------|-------------------------------------------------------------------------------------------| | Hunyuan3D-Shape-v2-1 | Image to Shape Model | 2025-06-14 | 3.3B | Download | | Hunyuan3D-Paint-v2-1 | Texture Generation Model | 2025-06-14 | 2B | Download |

🤗 Get Started with Hunyuan3D 2.1

Hunyuan3D 2.1 supports Macos, Windows, Linux. You may follow the next steps to use Hunyuan3D 2.1 via:

Install Requirements

We test our model with Python 3.10 and PyTorch 2.5.1+cu124.

pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu124
pip install -r requirements.txt

cd hy3dpaint/custom_rasterizer
pip install -e .
cd ../..
cd hy3dpaint/DifferentiableRenderer
bash compile_mesh_painter.sh
cd ../..

wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P hy3dpaint/ckpt

Code Usage

We designed a diffusers-like API to use our shape generation model - Hunyuan3D-Shape and texture synthesis model - Hunyuan3D-Paint.

import sys
sys.path.insert(0, './hy3dshape')
sys.path.insert(0, './hy3dpaint')
from textureGenPipeline import Hunyuan3DPaintPipeline
from textureGenPipeline import Hunyuan3DPaintPipeline, Hunyuan3DPaintConfig
from hy3dshape.pipelines import Hunyuan3DDiTFlowMatchingPipeline

# let's generate a mesh first
shape_pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent/Hunyuan3D-2.1')
mesh_untextured = shape_pipeline(image='assets/demo.png')[0]

paint_pipeline = Hunyuan3DPaintPipeline(Hunyuan3DPaintConfig(max_num_view=6, resolution=512))
mesh_textured = paint_pipeline(mesh_path, image_path='assets/demo.png')

Gradio App

You could also host a Gradio App in your own computer via:

python3 gradio_app.py \
--model_path tencent/Hunyuan3D-2.1 \
--subfolder hunyuan3d-dit-v2-1 \
--texgen_model_path tencent/Hunyuan3D-2.1 \
--low_vram_mode

🔗 BibTeX

If you found this repository helpful, please cite our reports:

@misc{hunyuan3d2025hunyuan3d,
title={Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material},
author={Tencent Hunyuan3D Team},
year={2025},
eprint={2506.15442},
archivePrefix={arXiv},
primaryClass={cs.CV}
}

@misc{hunyuan3d22025tencent,
title={Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation},
author={Tencent Hunyuan3D Team},
year={2025},
eprint={2501.12202},
archivePrefix={arXiv},
primaryClass={cs.CV}
}

@misc{yang2024hunyuan3d,
title={Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation},…