MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with
Metric-Decoupled Mixed Precision Quantization

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

28 May 2024

Shengen Yan

Papers citing "MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization"

4 / 4 papers shown

Title
Adversarial Diffusion Distillation Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 98 138 0 28 Nov 2023
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module Simian Luo Yiqin Tan Suraj Patil Daniel Gu Patrick von Platen Apolinário Passos Longbo Huang Jian Li Hang Zhao MoMe 86 97 0 09 Nov 2023
FP8 Formats for Deep Learning Paulius Micikevicius Dusan Stosic N. Burgess Marius Cornea Pradeep Dubey ... Naveen Mellempudi S. Oberman M. Shoeybi Michael Siu Hao Wu BDL VLM MQ 30 77 0 12 Sep 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 234 3,790 0 24 Feb 2021