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Diffusion models are better - but their inference times are orders of magnitude slower.

GAN models are really cool. Don't get me wrong. But they are popular _because_ they are fast at inference. They are still challenging to train (hopefully projected GAN helps with this) and have a very tough time representing highly diverse datasets with lots of data.




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