Overview: ComfyUI is a node-graph interface and backend for image, video, 3D, audio, and other generative workflows. It can run locally and re-executes only changed parts of a graph.
What beginners can do: Beginners can load an official template, see how model, prompt, sampler, decoder, and save nodes connect, change one parameter, and save the workflow as JSON or embedded metadata.
Recommended start: On Windows or macOS, use the official desktop application when possible. Windows also has portable packages for different GPU families. Start with an official template and a documented model rather than installing a large custom-node pack.
Requirements and cost: Model files consume significant disk space, and generation speed depends heavily on GPU memory and backend support. CPU-only execution is possible for some workflows but can be slow.
Who it suits: Useful for visual learners and creators who want precise, reusable control over generative-media pipelines.
Limits and safety: Workflows shared as images or JSON may depend on missing models and custom nodes. Commits outside stable release tags can be unstable, and third-party model licenses vary. Treat custom nodes as executable code, install only reviewed sources, avoid unknown workflows that request downloads or network access, and keep paid API nodes disabled when a fully local workflow is required.
Project and license: Repository content is provided under GPL-3.0; check the current LICENSE before reuse. Repository: https://github.com/Comfy-Org/ComfyUI