A diffusion model can be made faster by alternately optimizing the noise schedule and finetuning the denoiser, yielding lower FID at small step counts on three datasets.
Diffusion models beat gans on image synthesis
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Optimizing Few-Step Sampler for Diffusion Probabilistic Model
A diffusion model can be made faster by alternately optimizing the noise schedule and finetuning the denoiser, yielding lower FID at small step counts on three datasets.