Efficient Diffusion Distillation via Embedding Loss
arXiv:2604.22379v1 Announce Type: new
Abstract: Recent advances in distilling expensive diffusion models into efficient few-step generators show significant promise. However, these methods typically demand substantial computational resources and exten…