| | --- |
| | language: |
| | - en |
| | library_name: diffusers |
| | license: apache-2.0 |
| | pipeline_tag: text-to-image |
| | tags: |
| | - image-generation |
| | - SVDQuant |
| | - Nunchaku |
| | - Diffusion |
| | - Quantization |
| | - ICLR2025 |
| |
|
| | --- |
| | **This repository has been migrated to https://huggingface.co/nunchaku-tech/nunchaku and will be hidden in December 2025.** |
| |
|
| | <p align="center" style="border-radius: 10px"> |
| | <img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku.svg" width="30%" alt="Nunchaku Logo"/> |
| | </p> |
| |
|
| | # Nunchaku Pre-built Wheels |
| |
|
| | 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. |
| |
|
| | ## Citation |
| |
|
| | ```bibtex |
| | @inproceedings{ |
| | li2024svdquant, |
| | title={SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models}, |
| | 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}, |
| | booktitle={The Thirteenth International Conference on Learning Representations}, |
| | year={2025} |
| | } |
| | ``` |
