Comfy-Org/Comfy-Desktop

The desktop app for ComfyUI

What it solves

Comfy Desktop eliminates the technical friction of installing and managing ComfyUI. It removes the need to manually handle Python environments, CUDA configurations, and dependency management (often referred to as "dependency hell"), allowing users to focus on building generative AI workflows rather than troubleshooting software installations.

How it works

It is a cross-platform desktop application (built with Electron, Vue 3, and TypeScript) that provisions ComfyUI into self-contained, GPU-ready environments. Each environment includes a relocatable Python version with prebuilt PyTorch and GPU wheels. The app also bundles a minimal Python bootstrap with pygit2 to handle git operations (like cloning) on machines that do not have Git installed.

Who it’s for

It is designed for users of ComfyUI—ranging from beginners who want a one-click installation experience to advanced users who need to run multiple independent ComfyUI setups with different versions, models, and custom nodes side by side without conflicts.

Highlights

  • Isolated Environments: Run multiple independent ComfyUI installations simultaneously, each with its own set of custom nodes and models.
  • One-Click Management: Update ComfyUI and custom nodes in place without using a terminal or Git.
  • Snapshots and Rollbacks: Create backups of an installation and restore them if an update or a custom node causes a crash.
  • Zero-Dependency Setup: Bundles its own Python and Git backend, meaning it works on clean machines without requiring system-wide installations of Python or Git.
  • Migration Support: Ability to import and adopt existing portable or Git-based ComfyUI installations.

Related

  • Project
    Tavris1/ComfyUI-Easy-Install

    A portable, one-click installer for ComfyUI on Windows that includes a management dashboard for environments, packages, and hardware configurations.

  • Project
    mmartial/ComfyUI-Nvidia-Docker

    A Dockerized deployment of ComfyUI optimized for NVIDIA GPUs, providing isolated environments and simplified dependency management across different hardware generations.

  • Project
    YanWenKun/ComfyUI-Windows-Portable

    A ready‑to‑run Windows package that bundles ComfyUI (a node‑based UI for Stable Diffusion) with 40+ custom nodes and 300+ pre‑compiled Python packages, letting users launch AI image/video generation instantly on an NVIDIA GPU.

  • Project
    Comfy-Org/comfy-cli

    comfy‑cli is a Python command‑line tool that installs, launches, and manages ComfyUI (an open‑source generative‑media engine). It handles environment setup, custom‑node installation, model downloads, workflow execution, and can offload jobs to the hosted Comfy Cloud service. Features include fast `uv`‑based dependency resolution, JSON‑structured output for LLM agents, shell completion, and utilities for testing PRs and managing background servers.

  • Project
    Comfy-Org/ComfyUI-Manager

    ComfyUI‑Manager is an extension for the visual AI‑pipeline UI ComfyUI. It adds a “Manager” panel that lets users browse, install, update, enable/disable, and remove custom node packages and model files from a curated registry or local cache. Features include one‑click installs, snapshot‑based environment restore, workflow sharing to external sites, component copy‑&‑paste, a CLI tool for head‑less use, and extensive configuration (security level, network mode, pip/uv handling). It streamlines handling the large ecosystem of community‑made nodes that power Stable‑Diffusion image generation in ComfyUI.