jyoung105 / hyper-sdxl

Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

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Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Hyper-SD

Official Repository of the paper: Hyper-SD. Project Page: https://hyper-sd.github.io/

Introduction

Hyper-SD is one of the new State-of-the-Art diffusion model acceleration techniques. In this repository, we release the models distilled from FLUX.1-dev, SD3-Medium, SDXL Base 1.0 and Stable-Diffusion v1-5.

Citation

@misc{ren2024hypersd,
      title={Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis}, 
      author={Yuxi Ren and Xin Xia and Yanzuo Lu and Jiacheng Zhang and Jie Wu and Pan Xie and Xing Wang and Xuefeng Xiao},
      year={2024},
      eprint={2404.13686},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}