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