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 tianweiy@mit.edu Usage We can use the standard diffuser pipeline: 4 step UNet generation 4 step LoRA generation 1 step UNet generation 4 step T2I Adapter For more information, 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: 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 Com…
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