| --- |
| base_model: black-forest-labs/FLUX.1-schnell |
| base_model_relation: quantized |
| datasets: |
| - mit-han-lab/svdquant-datasets |
| language: |
| - en |
| library_name: diffusers |
| license: apache-2.0 |
| pipeline_tag: text-to-image |
| tags: |
| - text-to-image |
| - SVDQuant |
| - FLUX.1-schnell |
| - FLUX.1 |
| - Diffusion |
| - Quantization |
| - ICLR2025 |
|
|
| --- |
| **This repository has been deprecated and will be hidden in December 2025. Please use https://huggingface.co/nunchaku-tech/nunchaku-flux.1-schnell.** |
|
|
| ## 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} |
| } |
| ``` |
