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1from hy3dgen.shapegen import Hunyuan3DDiTFlowMatchingPipeline
2pipeline = Hunyuan3DDiTFlowMatchingPipeline.from_pretrained(
3 'tencent/Hunyuan3D-2mini',
4 subfolder='hunyuan3d-dit-v2-mini',
5 use_safetensors=True,
6 device='cuda'
7)
8mesh = pipeline(
9 image=image,
10 num_inference_steps=30,
11 octree_resolution=380,
12 num_chunks=20000,
13 generator=torch.manual_seed(12345),
14 output_type='trimesh'
15)[0]1@misc{hunyuan3d22025tencent,
2 title={Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation},
3 author={Tencent Hunyuan3D Team},
4 year={2025},
5 eprint={2501.12202},
6 archivePrefix={arXiv},
7 primaryClass={cs.CV}
8}
9
10@misc{yang2024tencent,
11 title={Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation},
12 author={Tencent Hunyuan3D Team},
13 year={2024},
14 eprint={2411.02293},
15 archivePrefix={arXiv},
16 primaryClass={cs.CV}
17}