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Awesome GitHub RepositoriesHub Integration Tutorials
Educational guides for interacting with model hubs, focusing on uploading weights and metadata.
Distinct from Hugging Face: Distinct from Hugging Face (conversion): focuses on the educational process of publishing to the hub.
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Awesome Hub Integration Tutorials GitHub Repositories
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- huggingface/diffusion-models-class
huggingface/diffusion-models-class
4,331Ver en GitHubThis project is an educational course and collection of training materials focused on generative diffusion models. It provides a curriculum and practical guides for training, fine-tuning, and deploying models capable of synthesizing images, audio, and video. The material covers specific implementation strategies including noise-based synthesis, iterative refinement, and latent space compression. It provides instruction on guiding generative outputs through conditional synthesis and prompt adherence optimization, as well as techniques for image inpainting and text-based editing. The project i
Includes tutorials for publishing trained model weights and metadata to the Hugging Face Hub.
Jupyter Notebook
