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New Distillation Method Sharpens One-Step Text-to-Image Models
What is Intrinsic Distribution Matching?
Intrinsic Distribution Matching trains a fast text-to-image generator to produce images that better match the target distribution by using score differences instead of many diffusion steps. The approach yields clearer, more detailed pictures even when the model only takes a single or a few generation steps.
Who it is for
Anyone building low-latency image generators can adopt IDM to improve fidelity without extra compute.