Xin Wang*

Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models

"High computational overhead is a troublesome problem for diffusion models. Recent studies have leveraged post-training quantization (PTQ) to compress diffusion models. However, most of them only focus on unconditional models, leaving the quantization of widely-used pretrained text-to-image models,…