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Awesome GitHub RepositoriesDistributed Training
Training a diffusion model from scratch on a dataset using distributed processes and adjustable settings.
Distinct from Diffusion Model Training: Distinct from general Diffusion Model Training: specifically covers distributed training with gradient accumulation, not the general training process.
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Awesome Distributed Training GitHub Repositories
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- openai/guided-diffusion
openai/guided-diffusion
7,395Auf GitHub ansehenThis is a classifier-guided diffusion framework for high-fidelity image generation. It implements a cascaded diffusion pipeline that chains a base diffusion model with a dedicated upsampler to progressively increase image resolution in stages, and uses classifier-guided diffusion sampling to steer the reverse diffusion process toward higher-quality outputs. The framework provides tools for training diffusion models from scratch using distributed processes with gradient accumulation, as well as training classifier models that provide gradient-based guidance during sampling. It supports both un
Trains a diffusion model from scratch on a dataset using distributed processes and adjustable settings.
Python
