A-suozhang/Awesome-Efficient-Diffusion
Curated list of methods that focuses on improving the efficiency of diffusion models
This is a curated list of research and methods designed to make diffusion models — used for generating images, videos, or other complex data from text or other inputs — run more quickly and use fewer computational resources. It takes in various approaches, from mathematical solutions to system-level optimizations, and provides an organized overview of how to achieve faster and more efficient image and video generation. Researchers and machine learning engineers working on generative AI applications would use this to understand and implement more efficient models.
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Use this if you are a researcher or engineer looking to optimize the speed and resource usage of diffusion models for image and video generation.
Not ideal if you are looking for a ready-to-use software library or a guide on how to simply *use* existing generative AI models without diving into their underlying efficiency improvements.
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Jul 09, 2024
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