AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

Neural Information Processing Systems 

To break the dependency chain between these components, it transforms the conventional sequential denoising into an asynchronous process by exploiting the high similarity between hidden states in consecutive diffusion steps.

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