wlfeng0509/Awesome-Diffusion-Quantization
A list of papers, docs, codes about diffusion quantization.This repo collects various quantization methods for the Diffusion Models. Welcome to PR the works (papers, repositories) missed by the repo.
This is a curated collection of research papers, documentation, and code focused on methods to 'quantize' Diffusion Models. It helps machine learning researchers and practitioners find ways to make large generative AI models, like those used for image or video creation, run more efficiently. You'll find techniques to reduce the computational cost and memory footprint of these models, making them faster and more accessible for deployment.
Use this if you are a machine learning researcher or engineer looking for the latest techniques to optimize the performance and efficiency of Diffusion Models through quantization.
Not ideal if you are an end-user simply looking to generate images or videos without needing to understand or modify the underlying model architecture.
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Feb 02, 2026
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