Scaling laws for text-to-image diffusion models
pbaylies · x · 2026-08-19
Presents research on scaling laws for text-to-image diffusion models, spanning three orders of magnitude in training flops. The study covers models ranging from 60M to 2B parameters, revealing performance scaling patterns with compute.
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