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ComfyUI

Open source

A modular, node-based interface and backend for building and running diffusion model workflows such as Stable Diffusion on your own machine.

comfy.org
ComfyUI homepage screenshot
GitHub stars
136k
Last commit
today
Repository age
3 years
Version
v0.38.0
Licence
GPL-3.0
Self-hosted
Yes

About ComfyUI

ComfyUI is an open-source application for creating images and other media with diffusion models. Instead of a fixed form, you build a workflow as a graph of connected nodes, where each node handles a step such as loading a model, encoding a prompt or sampling. It is written in Python on top of PyTorch and licensed under GPL-3.0.

The project provides a graphical interface, an API and a backend in one package. The modular design means workflows can be saved, shared and extended, and new capabilities are added through additional nodes. Because inference runs locally, users keep control over their models and outputs. The maintainers describe it more broadly as an engine for AI content creation.

The code is maintained by Comfy Org, which also runs the website at comfy.org, and releases are published on GitHub. ComfyUI suits artists, researchers and developers who want fine control over image generation pipelines and are comfortable wiring nodes together rather than using a simple prompt box.

Key features

  • Node-and-graph editor for diffusion workflows
  • Modular backend with an API
  • Local inference on your own hardware
  • Support for Stable Diffusion models
  • Reusable, shareable workflows
  • Extensible through additional nodes

Good fit for

  • →Building custom Stable Diffusion pipelines
  • →Automating image generation through the API
  • →Experimenting with diffusion models locally
Built with
Python
Tags
stable-diffusion
diffusion-models
image-generation
node-based
pytorch
ai
python
workflow

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