| --- |
| 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 |
| --- |
| |
| <p align="center"> |
| <img src="./assets/images/teaser.jpg"> |
| </p> |
|
|
| <div align="center"> |
| <a href=https://3d.hunyuan.tencent.com target="_blank"><img src=https://img.shields.io/badge/Hunyuan3D-black.svg?logo=homepage height=22px></a> |
| <a href=https://huggingface.co/spaces/tencent/Hunyuan3D-2 target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Demo-276cb4.svg height=22px></a> |
| <a href=https://huggingface.co/tencent/Hunyuan3D-2 target="_blank"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a> |
| <a href=https://3d-models.hunyuan.tencent.com/ target="_blank"><img src= https://img.shields.io/badge/Page-bb8a2e.svg?logo=github height=22px></a> |
| <a href=https://discord.gg/GuaWYwzKbX target="_blank"><img src= https://img.shields.io/badge/Discord-white.svg?logo=discord height=22px></a> |
| <a href=https://github.com/Tencent/Hunyuan3D-2/blob/main/assets/report/Tencent_Hunyuan3D_2_0.pdf target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a> |
| </div> |
| |
|
|
| [//]: # ( <a href=# target="_blank"><img src=https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv height=22px></a>) |
|
|
| [//]: # ( <a href=# target="_blank"><img src= https://img.shields.io/badge/Colab-8f2628.svg?logo=googlecolab height=22px></a>) |
|
|
| [//]: # ( <a href="#"><img alt="PyPI - Downloads" src="https://img.shields.io/pypi/v/mulankit?logo=pypi" height=22px></a>) |
|
|
| <br> |
| <p align="center"> |
| โ Living out everyoneโs imagination on creating and manipulating 3D assets.โ |
| </p> |
|
|
| This repository contains the models of the paper [Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation](https://huggingface.co/papers/2501.12202). |
| For code and more details on how to use it, refer to the [Github repository](https://github.com/Tencent/Hunyuan3D-2). |
|
|
| ## ๐ฅ News |
|
|
| - Jan 21, 2025: ๐ฌ Release [Hunyuan3D 2.0](https://huggingface.co/spaces/tencent/Hunyuan3D-2). 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. |
|
|
| <p align="center"> |
| <img src="assets/images/system.jpg"> |
| </p> |
|
|
| ## โฏ๏ธ **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. |
|
|
| <p align="left"> |
| <img src="assets/images/arch.jpg"> |
| </p> |
|
|
| ### 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(โฌ) | FID_CLIP(โฌ) | FID(โฌ) | CLIP-score(โฌ) | |
| |-------------------------|-----------|-------------|-------------|---------------| |
| | 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: |
| <p align="left"> |
| <img src="assets/images/e2e-1.gif" height=300> |
| <img src="assets/images/e2e-2.gif" height=300> |
| </p> |
| |
| ### Pretrained Models |
| |
| | Model | Date | Huggingface | |
| |----------------------|------------|--------------------------------------------------------| |
| | Hunyuan3D-DiT-v2-0 | 2025-01-21 | [Download](https://huggingface.co/tencent/Hunyuan3D-2) | |
| | Hunyuan3D-Paint-v2-0 | 2025-01-21 | [Download](https://huggingface.co/tencent/Hunyuan3D-2) | |
| | Hunyuan3D-Delight-v2-0 | 2025-01-21 | [Download](https://huggingface.co/tencent/Hunyuan3D-2/tree/main/hunyuan3d-delight-v2-0) | |
| |
| ## ๐ค 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](https://pytorch.org/) site. Then install the other requirements via |
| |
| ```bash |
| 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: |
| |
| ```python |
| 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](https://trimesh.org/trimesh.html), which you could save to glb/obj (or other |
| format) file. |
| |
| For **Hunyuan3D-Paint**, do the following: |
| |
| ```python |
| 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](https://github.com/Tencent/Hunyuan3D-2/blob/main/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](https://www.gradio.app/) App in your own computer via: |
| |
| ```bash |
| pip3 install gradio==3.39.0 |
| python3 gradio_app.py |
| ``` |
| |
| Don't forget to visit [Hunyuan3D](https://3d.hunyuan.tencent.com) for quick use, if you don't want to host yourself. |
| |
| ## ๐ Open-Source Plan |
| |
| - [x] Inference Code |
| - [x] Model Checkpoints |
| - [x] Technical Report |
| - [ ] ComfyUI |
| - [ ] TensorRT Version |
| |
| ## ๐ BibTeX |
| |
| If you found this repository helpful, please cite our report: |
| |
| ```bibtex |
| @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: |
| |
| - [ComfyUI-Hunyuan3DWrapper](https://github.com/kijai/ComfyUI-Hunyuan3DWrapper) |
| - [Hunyuan3D-2-for-windows](https://github.com/sdbds/Hunyuan3D-2-for-windows) |
| - [๐ฆ A bundle for running on Windows | ๆดๅๅ
](https://github.com/YanWenKun/Comfy3D-WinPortable/releases/tag/r8-hunyuan3d2) |
| |
| ## Acknowledgements |
| |
| We would like to thank the contributors to |
| the [DINOv2](https://github.com/facebookresearch/dinov2), [Stable Diffusion](https://github.com/Stability-AI/stablediffusion), [FLUX](https://github.com/black-forest-labs/flux), [diffusers](https://github.com/huggingface/diffusers) |
| and [HuggingFace](https://huggingface.co) repositories, for their open research and exploration. |
| |
| ## Star History |
| |
| <a href="https://star-history.com/#Tencent/Hunyuan3D-2&Date"> |
| <picture> |
| <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=Tencent/Hunyuan3D-2&type=Date&theme=dark" /> |
| <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=Tencent/Hunyuan3D-2&type=Date" /> |
| <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=Tencent/Hunyuan3D-2&type=Date" /> |
| </picture> |
| </a> |
