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AI図鑑

Diffusers

拡散モデルの統合実装とスケジューラ

Hugging Face ツール オープンソース

本ページの本文は英語で提供されています。タイトルと導入は日本語化されています。

これは何か

Diffusers is an open-source library from Hugging Face, released in 2022, offering a unified implementation of diffusion models. It splits a generation run into a model, a scheduler and a pipeline, so any part can be swapped without rewriting the flow. It targets the difficulty of aligning and reproducing results across the many implementations behind text-to-image, image-to-image and image editing.

なぜ覚えておく価値があるか

Its modular split into model, scheduler and pipeline made diffusion experiments and comparisons reproducible, rather than collections of result images.

主な仕様

Components
Model + scheduler + pipeline
Pipelines
Text-to-image, image-to-image, editing and more

関連する概念

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