NVIDIA's PDD Distills Diffusion Models to 4-8 Steps for Faster Image/Video Generation

NVIDIA and others propose Parallel Decoding Distillation (PDD), a minimal trajectory distillation method to accelerate image and video generation with diffusion and flow matching models. PDD predicts multiple ODE steps in a single network evaluation, breaking the conventional approach of merging consecutive ODE steps into one large step, achieving state-of-the-art (SOTA) quality and diversity in just 4-8 steps. This offers a new path for speeding up generative AI inference, especially valuable for compute-intensive image and video generation tasks.

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2026-07-29 ~ 2026-07-30 · 7 related posts

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1 near-duplicate retellings: ArashVahdat