AI RESEARCH

OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner

arXiv CS.CV

ArXi:2604.12668v1 Announce Type: new The Diffusion Probabilistic Model (DPM) achieves remarkable performance in image generation, while its increasing parameter size and computational overhead hinder its deployment in practical applications. To improve this, the existing literature focuses on obtaining a smaller model with a fixed architecture through model compression. However, in practice, DPMs usually need to be deployed on various devices with different resource constraints, which leads to multiple compression processes, incurring significant overhead for repeated