PDD: Parallel Decoding Distillation Predicts Multiple ODE Steps in One Eval
ArashVahdat · x · 2026-07-30
A new paper introduces Parallel Decoding Distillation (PDD) to accelerate diffusion and flow models.
- Traditional bottleneck: Trajectory distillation typically accelerates generation by merging consecutive ODE steps into a single larger step.
- PDD innovation: Changes the paradigm by predicting MULTIPLE ODE steps in just one network evaluation.
- Advantages: The method works out-of-the-box, offering an elegant, simple, and highly scalable approach.
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