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ParaDiGMS: Parallel Diffusion Generative Model Sampler

This repository contains code for the paper:

Parallel Sampling of Diffusion Models
by Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari


ParaDiGMs accelerates sampling of diffusion models without sacrificing quality by running denoising steps in parallel. ParaDiGMs is most useful when sampling with a large number of denoising steps on multiple GPUs, giving a 2-4x wallclock speedup.

Animation of Algorithm

Sample Images

Speedup of 1000-step DDPM on A100

Results on Image and Robotics Diffusion Models

Citation

If you find our work useful, consider citing:

@misc{shih2023paradigms,
    title = {Parallel Sampling of Diffusion Models},
    author={Shih, Andy and Belkhale, Suneel and Ermon, Stefano and Sadigh, Dorsa and Anari, Nima},
    publisher = {arXiv},
    year = {2023},
}

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Contributors

andyshih12 avatar

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