An aligned self-rollout distillation strategy can compress a video editing model into a two-step sampler while reducing training-inference discrepancies and mitigating appearance drift

design an aligned self-rollout distillation strategy that compresses the model into a two-step sampler, where fixed RoPE and align forcing reduce training--inference discrepancies, and first-frame preserved sparse attention filters redundant historical information to mitigate appearance drift

http://arxiv.org/abs/2608.27123v1