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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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**This repository has been migrated to https://huggingface.co/nunchaku-tech/nunchaku and will be hidden in December 2025.** |
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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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``` |
