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.

• 📚 Documentation · Quickstart
• 📝 Introducing Modular Diffusers
• 🧪 Modular Diffusers on GitHub