55 lines
1.7 KiB
Markdown
55 lines
1.7 KiB
Markdown
# ComfyUI_PartPacker
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This is the comfyui implementation of [PartPacker](https://github.com/NVlabs/PartPacker): Efficient Part-level 3D Object Generation via Dual Volume Packing.Max varm12G
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# Notice
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* Coming soon ,优化下模型加载，很快上线。
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# 1. Installation
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In the ./ComfyUI/custom_node directory, run the following:
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```
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git clone https://github.com/smthemex/ComfyUI_PartPacker.git
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```
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---
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# 2. Requirements
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```
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pip install -r requirements.txt
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```
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# 3.Model
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* 3.1.1 download checkpoints from [nvidia/PartPacker](https://huggingface.co/nvidia/PartPacker/tree/main) 从抱脸下载2个模型;
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* 3.1.2 dino [facebook/dinov2-giant](https://huggingface.co/facebook/dinov2-giant/tree/main) or [facebook/dinov2-with-registers-large](https://huggingface.co/facebook/dinov2-with-registers-large/tree/main)
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```
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-- ComfyUI/models/PartPacker/
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|-- flow.pth
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-- ComfyUI/models/vae/
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|-- vae.pt
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-- anypath/facebook/dinov2-giant/ # fix it sometimes 迟点改成单体的
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...
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```
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# Example
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# Acknowledgements
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This work is built on many amazing research works and open-source projects, thanks a lot to all the authors for sharing!
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[Dora](https://github.com/Seed3D/Dora)
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[Hunyuan3D-2](https://github.com/Tencent-Hunyuan/Hunyuan3D-2)
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[Trellis](https://github.com/microsoft/TRELLIS)
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# Citation
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```
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@article{tang2024partpacker,
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title={Efficient Part-level 3D Object Generation via Dual Volume Packing},
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author={Tang, Jiaxiang and Lu, Ruijie and Li, Zhaoshuo and Hao, Zekun and Li, Xuan and Wei, Fangyin and Song, Shuran and Zeng, Gang and Liu, Ming-Yu and Lin, Tsung-Yi},
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journal={arXiv preprint arXiv:2506.09980},
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year={2025}
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}
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```
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