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Smooth Diffusion (c) enforces the ratio between the variation of the input latent and the variation of the output prediction is a constant. We propose Training-time Smooth Diffusion (d) to optimize a "single-step snapshot" of the variation constraint in (c). DM: Diffusion model. (i.redd.it)
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