Modelpublic

ImrozeAslam/Hunyuan3D-2mini-test

sourceHugging Faceotherupdated 1y agoView on Hugging Face

0likes28downloads

Model Card

[//]: # ( <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"> “ Living out everyone’s imagination on creating and manipulating 3D assets.” </p>

This repository contains the models of the paper Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation.

Hunyuan3D-2mini contains a 0.6B shape generator, which is smaller and faster than the previous 1.1B one.

🤗 Get Started with Hunyuan3D 2mini

Here is a simple usage:

python

from hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline
pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained(
    'tencent/Hunyuan3D-2mini',
    subfolder='hunyuan3d-dit-v2-mini',
    use_safetensors=True,
    device='cuda'
)
mesh = pipeline(
    image=image,
    num_inference_steps=30,
    octree_resolution=380,
    num_chunks=20000,
    generator=torch.manual_seed(12345),
    output_type='trimesh'
)[0]

For code and more details on how to use it, refer to the Github repository.

🔗 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:

Acknowledgements

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