Parallel Decoding Distillation for Fast Video Generation
July 27, 2026
Parallel Decoding Distillation (PDD) offers a scalable, trajectory-based method to accelerate diffusion and flow matching models. Unlike VSD, PDD avoids common mode collapse issues, allowing for high-quality, diverse video generation with fewer sampling steps.
HOW THIS AFFECTS YOU
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builderYou can implement this to reduce inference latency in video generation pipelines without sacrificing motion diversity.
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researcherThis provides a more stable alternative to variational score distillation for few-step model training.