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GitHub - End2End-Diffusion/diffusion-bench: Towards Holistic evaluation of Generative Diffusion Transformers!

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############################################################################## # # # ____ _ __ __ _ .-----------. # # | _ \(_)/ _|/ _|_ _ ___(_) ___ _ __ | | # # | | | | | |_| |_| | | / __| |/ _ \| '_ \ | ░▒▓█▓▒░▒▓ | # # | |_| | | _| _| |_| \__ \ | (_) | | | | | ▒▓█████▓▒ | # # |____/|_|_| |_| \__,_|___/_|\___/|_| |_| | ▓███████▓ | # # | ↓ | # # ____ _ | █████████ | # # | __ ) ___ _ __ ___| |__ | ▓███████▓ | # # | _ \ / _ \ '_ \ / __| '_ \ | ▒▓█████▓▒ | # # | |_) | __/ | | | (__| | | | | | # # |____/ \___|_| |_|\___|_| |_| '-----------' # # # # Because ImageNet evaluation alone is no longer enough! # # # ############################################################################## This repo contains the unified codebase for DiffusionBench. It supports training and evaluation across different generation tasks (ImageNet, T2I, ...) through a single interface. Please see the sections below for the detailed structure. Come join us!…

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