Verified project record

Comfy-Org/ComfyUI

A modular node graph interface and backend for designing generative AI workflows across images, videos, audio, and 3D models without writing code. It operates fully offline with smart memory management that supports GPUs with as low as 1GB VRAM.

Project overview

Project type: Image & Vision · Video · Audio & Speech
Deployment: Refer to project documentation
License: GPL-3.0

Best for

Creators who need to design complex generative pipelines visually without writing code.
Users operating in offline or local-only environments who require strict control over network requests.
Creators running large models on hardware with limited VRAM, down to 1GB.

Key capabilities

A nodes, graph, and flowchart interface to experiment and create complex Stable Diffusion workflows without needing to code anything.
Natively supports a wide range of state-of-the-art models for generating images, videos, audio, and 3D.
Automatically runs large models on GPUs with as low as 1GB vram with smart offloading.
Runs fully offline; the core will never download anything unless requested by the user.
Optional API nodes to use paid models from external providers through the Comfy API, which can be disabled.
Makes complex workflows available through a simple UI.
Extension allowing users to easily install, update, and manage custom nodes.

Limitations and risks

Python 3.14 works but some custom nodes may have issues.
Commits outside of the stable release tags may be very unstable and break many custom nodes.
The generated TLS/SSL certificate is self-signed and not appropriate for shared or production use.

Getting started

Download and install the desktop application for an initial setup.

Evidence and sources

GitHub project description: The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
README: ComfyUI is the AI creation engine for visual professionals who demand control over every model, every parameter, and every output. Its powerful and modular node graph interface em…
README: It integrates seamlessly into production pipelines with our API endpoints.
README: The easiest way to get started. - Available on Windows & macOS.
README: Our official paid cloud version for those who can't afford local hardware.

Reviewed at: 2026-07-17T03:58:03Z