Stanford and Google's LoT Diffusion Cuts Image Tokens by 4.6x Without Losing Detail

Stanford and Google researchers introduce a diffusion method that spends compute only where detail matters, cutting token counts up to 4.6x.

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AlphaSignal

Published

Oct 5, 2026, 5:11 AM

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AlphaSignal Newsroom

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1 min read

Stanford and Google researchers introduce a diffusion method that spends compute only where detail matters, cutting token counts up to 4.6x.

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