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README.md
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---
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---
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language:
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- en
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library_name: diffusers
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license: apache-2.0
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pipeline_tag: text-to-image
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tags:
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- image-generation
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- SVDQuant
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- Nunchaku
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- Diffusion
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- Quantization
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- ICLR2025
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---
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<p align="center" style="border-radius: 10px">
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<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku.svg" width="30%" alt="Nunchaku Logo"/>
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</p>
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# Nunchaku Pre-built Wheels
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This repository provides pre-built wheels for [nunchaku](https://github.com/nunchaku-tech/nunchaku) for both Linux and Windows platforms. For detailed information about available wheels, please visit our [GitHub Releases](https://github.com/nunchaku-tech/nunchaku/releases) page.
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## Citation
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```bibtex
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@inproceedings{
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li2024svdquant,
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title={SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models},
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author={Li*, Muyang and Lin*, Yujun and Zhang*, Zhekai and Cai, Tianle and Li, Xiuyu and Guo, Junxian and Xie, Enze and Meng, Chenlin and Zhu, Jun-Yan and Han, Song},
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booktitle={The Thirteenth International Conference on Learning Representations},
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year={2025}
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}
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```
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