Hunyuan Open-source 3D Synthesis System - Free Deployment, Easily Generate High-resolution Textured 3D Assets

Hunyuan

Developed by Compumacy

An advanced large-scale 3D synthesis system developed by Tencent for generating high-resolution textured 3D assets

3D Vision Supports Multiple LanguagesOpen Source License:Other #High-resolution 3D generation #Textured mesh synthesis #Image/text-to-3D

Downloads 68

Release Time : 3/20/2025

Model Overview

Hunyuan 3D 2.0 is a two-stage 3D generation system comprising a shape generation model and a texture synthesis model, capable of producing high-quality 3D assets from images or text

Model Features

High-resolution texture generation

Capable of generating high-resolution vivid texture maps, adding intricate surface details to 3D models

Two-stage generation process

First generates base meshes, then synthesizes texture maps, effectively decoupling the challenges of shape and texture generation

Versatile production platform

Provides the Hunyuan 3D-Studio platform, supporting professional users and enthusiasts in efficiently editing and animating models

Leading performance

Surpasses previous state-of-the-art models in geometric details, conditional alignment, and texture quality

Model Capabilities

Generate 3D models from images

Generate 3D models from text

Generate textures for existing 3D models

High-resolution 3D asset generation

Use Cases

Game development

Game prop generation

Rapidly generate 3D prop models for games

High-quality, textured 3D models

Film and animation

Animated character generation

Generate 3D character models from concept art

3D characters ready for animation production

Virtual reality

VR scene construction

Quickly generate 3D objects for VR environments

High-fidelity 3D assets

library_name: hunyuan3d-2 license: other license_name: tencent-hunyuan-community license_link: https://huggingface.co/tencent/Hunyuan3D-2/blob/main/LICENSE.txt language:

en
zh tags:
image-to-3d
text-to-3d pipeline_tag: image-to-3d

“ Living out everyone’s imagination on creating and manipulating 3D assets.”

This repository contains the models of the paper Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation. For code and more details on how to use it, refer to the Github repository.

🔥 News

Jan 21, 2025: 💬 Release Hunyuan3D 2.0. Please give it a try!

Abstract

We present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets. This system includes two foundation components: a large-scale shape generation model - Hunyuan3D-DiT, and a large-scale texture synthesis model - Hunyuan3D-Paint. The shape generative model, built on a scalable flow-based diffusion transformer, aims to create geometry that properly aligns with a given condition image, laying a solid foundation for downstream applications. The texture synthesis model, benefiting from strong geometric and diffusion priors, produces high-resolution and vibrant texture maps for either generated or hand-crafted meshes. Furthermore, we build Hunyuan3D-Studio - a versatile, user-friendly production platform that simplifies the re-creation process of 3D assets. It allows both professional and amateur users to manipulate or even animate their meshes efficiently. We systematically evaluate our models, showing that Hunyuan3D 2.0 outperforms previous state-of-the-art models, including the open-source models and closed-source models in geometry details, condition alignment, texture quality, and e.t.c.

☯️ Hunyuan3D 2.0

Architecture

Hunyuan3D 2.0 features a two-stage generation pipeline, starting with the creation of a bare mesh, followed by the synthesis of a texture map for that mesh. This strategy is effective for decoupling the difficulties of shape and texture generation and also provides flexibility for texturing either generated or handcrafted meshes.

Performance

We have evaluated Hunyuan3D 2.0 with other open-source as well as close-source 3d-generation methods. The numerical results indicate that Hunyuan3D 2.0 surpasses all baselines in the quality of generated textured 3D assets and the condition following ability.

Model	CMMD(⬇)	FID_CLIP(⬇)	FID(⬇)	CLIP-score(⬆)
Top Open-source Model1	3.591	54.639	289.287	0.787
Top Close-source Model1	3.600	55.866	305.922	0.779
Top Close-source Model2	3.368	49.744	294.628	0.806
Top Close-source Model3	3.218	51.574	295.691	0.799
Hunyuan3D 2.0	3.193	49.165	282.429	0.809

Generation results of Hunyuan3D 2.0:

Pretrained Models

Model	Date	Huggingface
Hunyuan3D-DiT-v2-0	2025-01-21	Download
Hunyuan3D-Paint-v2-0	2025-01-21	Download
Hunyuan3D-Delight-v2-0	2025-01-21	Download

🤗 Get Started with Hunyuan3D 2.0

You may follow the next steps to use Hunyuan3D 2.0 via code or the Gradio App.

Install Requirements

Please install Pytorch via the official site. Then install the other requirements via

pip install -r requirements.txt
# for texture
cd hy3dgen/texgen/custom_rasterizer
python3 setup.py install
cd ../../..
cd hy3dgen/texgen/differentiable_renderer
bash compile_mesh_painter.sh OR python3 setup.py install (on Windows)

API Usage

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

You could assess Hunyuan3D-DiT via:

from hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline

pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent/Hunyuan3D-2')
mesh = pipeline(image='assets/demo.png')[0]

The output mesh is a trimesh object, which you could save to glb/obj (or other format) file.

For Hunyuan3D-Paint, do the following:

from hy3dgen.texgen import Hunyuan3DPaintPipeline
from hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline

# let's generate a mesh first
pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained('tencent/Hunyuan3D-2')
mesh = pipeline(image='assets/demo.png')[0]

pipeline = Hunyuan3DPaintPipeline.from_pretrained('tencent/Hunyuan3D-2')
mesh = pipeline(mesh, image='assets/demo.png')

Please visit minimal_demo.py for more advanced usage, such as text to 3D and texture generation for handcrafted mesh.

Gradio App

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

pip3 install gradio==3.39.0
python3 gradio_app.py

Don't forget to visit Hunyuan3D for quick use, if you don't want to host yourself.

📑 Open-Source Plan

[x] Inference Code
[x] Model Checkpoints
[x] Technical Report
[ ] ComfyUI
[ ] TensorRT Version

🔗 BibTeX

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

@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{yang2024tencent,
    title={Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation},
    author={Tencent Hunyuan3D Team},
    year={2024},
    eprint={2411.02293},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

Community Resources

Thanks for the contributions of community members, here we have these great extensions of Hunyuan3D 2.0:

Acknowledgements

We would like to thank the contributors to the DINOv2, Stable Diffusion, FLUX, diffusers and HuggingFace repositories, for their open research and exploration.