Data-Free Diffusion Distillation via Consistent Distribution Matching
October 5, 2026
Consistent Distribution Matching enables one-step or few-step diffusion model generation without requiring curated distillation datasets or expensive teacher rollouts. The framework unifies sample generation and score estimation into a single student network.
HOW THIS AFFECTS YOU
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builderThis reduces the computational and data overhead required to accelerate your generative model inference.
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researcherYou can now perform simulation-free distillation by optimizing a single student network against a frozen teacher.