license: cc-by-nc-4.0
library_name: diffusers
tags:
- text-to-image
- stable-diffusion
- diffusion distillation
DMD2 Model Card
Improved Distribution Matching Distillation for Fast Image Synthesis,
Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman
Contact
Feel free to contact us if you have any questions about the paper!
Tianwei Yin [email protected]
Usage
Please refer to the code repository
License
Improved Distribution Matching Distillation is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Citation
If you find DMD2 useful or relevant to your research, please kindly cite our papers:
@article{yin2024improved,
title={Improved Distribution Matching Distillation for Fast Image Synthesis},
author={Yin, Tianwei and Gharbi, Micha{\"e}l and Park, Taesung and Zhang, Richard and Shechtman, Eli and Durand, Fredo and Freeman, William T},
journal={arXiv:xxxx.xxxxx},
year={2024}
}
@inproceedings{yin2024onestep,
title={One-step Diffusion with Distribution Matching Distillation},
author={Yin, Tianwei and Gharbi, Micha{\"e}l and Zhang, Richard and Shechtman, Eli and Durand, Fr{\'e}do and Freeman, William T and Park, Taesung},
booktitle={CVPR},
year={2024}
}
Acknowledgments
This work was done while Tianwei Yin was a full-time student at MIT. It was developed based on our reimplementation of the original DMD paper. This work was supported by the National Science Foundation under Cooperative Agreement PHY-2019786 (The NSF AI Institute for Artificial Intelligence and Fundamental Interactions, http://iaifi.org/), by NSF Grant 2105819, by NSF CISE award 1955864, and by funding from Google, GIST, Amazon, and Quanta Computer.