Decoupled DMD Distillation

Decoupled DMD reveals that Distribution Matching Distillation's success in few-step diffusion models comes from two distinct mechanisms: CFG Augmentation as the core engine for multi-to-few-step conversion, and Distribution Matching as a regularizer for training stability. This new understanding enables principled improvements through decoupled noise schedules, achieving state-of-the-art performance in efficient image generation and powering the top-tier 8-step Z-Image model.