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Zeqiang Lai<ZeqiangLai@users.noreply.huggingface.co>
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“ 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.

Hunyuan3D-2mv is finetuned from Hunyuan3D-2 to support multiview controlled shape generation.

🤗 Get Started with Hunyuan3D 2mv

Here is a simple usage:

from hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained( 'tencent/Hunyuan3D-2mv', subfolder='hunyuan3d-dit-v2-mv', use_safetensors=True, device='cuda' ) mesh = pipeline( image={ "front": "your front view image.png", "left": "your left view image.png", "back": "your back view image.png" }, 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.