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by _lvbh
906 days ago
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From what I understand, Stable Diffusion starts out with random noise that is then step by step made into the final image. Randomness is there at the beginning. Current LLMs first find the n most likely next token and only then gets randomness on the choice among the top-n. This injects randomness to the initial search for the top-n. So I think, from my ignorance, that Stable Diffusion is already doing this in some sense |
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