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svdq-int4_r32-sana1.6b.safetensors: SVDQuant quantized INT4 SANA-1.6B model. For users with non-Blackwell GPUs (pre-50-series).
1@inproceedings{
2 li2024svdquant,
3 title={SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models},
4 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},
5 booktitle={The Thirteenth International Conference on Learning Representations},
6 year={2025}
7}
8@article{
9 xie2024sana,
10 title={Sana: Efficient high-resolution image synthesis with linear diffusion transformers},
11 author={Xie, Enze and Chen, Junsong and Chen, Junyu and Cai, Han and Tang, Haotian and Lin, Yujun and Zhang, Zhekai and Li, Muyang and Zhu, Ligeng and Lu, Yao and others},
12 journal={arXiv preprint arXiv:2410.10629},
13 year={2024}
14}