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title: README
emoji: 🧩
colorFrom: purple
colorTo: pink
sdk: static
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Modular Diffusers Community 🧩
Creative generative workflows built with Modular Diffusers 🧨 for state-of-the-art open source models.
What Modular Diffusers is
Diffusion pipelines are usually monolithic: one class per task, and a new task means a new pipeline. Modular
Diffusers breaks that into composable blocks — encode, prepare, denoise, decode — that you assemble into a
workflow, share components between them through a ComponentsManager so one loaded model serves several tasks,
and swap or subclass a single block instead of forking a pipeline. It is how a workflow that would be a graph of
custom nodes becomes a few lines of Python.