| language: | |
| - en | |
| library_name: diffusers | |
| license: apache-2.0 | |
| pipeline_tag: text-to-image | |
| tags: | |
| - image-generation | |
| - SVDQuant | |
| - Nunchaku | |
| - Diffusion | |
| - Quantization | |
| - ICLR2025 | |
| <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} | |
| } | |
| ``` |