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:
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:
@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.