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Nested diffusion looping is said to fix errors that would otherwise accumulate
A post says looping at a given noise level also reduces reliance on CFG.
TLDR
A post describes nested looping in diffusion as a way to fix errors that would otherwise accumulate and reduce reliance on CFG. It likens the idea to data-space iteration, self-conditioning, deep equilibrium models and fixed-point flows.
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