MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization

Diffusion models have demonstrated superior performance in image generation tasks, thus becoming the mainstream model for generative visual tasks. Diffusion models need to execute multiple timesteps sequentially, resulting in a dramatic increase in workload. Existing accelerators leverage the data s...

Full description

Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Qi, Chunyu, Wang, Xuhang, Chen, Ruiyang, Yao, Yuanzheng, Jing, Naifeng, Zhang, Chen, Wang, Jun, Fu, Zhihui, Liang, Xiaoyao, Song, Zhuoran
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Diffusion models Hardware Image synthesis Loading Memory management Merging Parallel processing Quantization (signal) Transforms Visualization
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!