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ComfyUI Node-Based Image Generation Workflow

Turns every step of diffusion generation into a visible node you wire into a graph: model loading, prompt encoding, sampling and upscaling are each a node, so you decide how data flows; the official repository is GPL-3.0 open source with broad native support for Stable Diffusion, SDXL, Flux.1, Flux.2, Qwen Image and many more, running locally for free

Tool Interface

Interactive tool will be available soon

Features

  • ✓ Node-based workflow: described as the most powerful and modular diffusion model GUI, API and backend, organising the whole generation chain through a graph/nodes interface
  • ✓ Broad native model support: the official list includes Stable Diffusion 1.5, SDXL, SD3.5, Flux.1, Flux.2, Qwen Image and Hunyuan Image 2.1 among others
  • ✓ Open source and self-hostable: the official repository is GPL-3.0 licensed, so you run it on your own GPU without per-generation fees
  • ✓ Interface and backend in one: beyond the graphical UI it ships an API and backend, so a working pipeline can be wired into your own service or product
  • ✓ Reusable, shareable workflows: a whole chain can be saved as a template and reused, and the community maintains many ready-to-run workflow examples

How to Use

  1. Read the install guide in the official repository at https://github.com/Comfy-Org/ComfyUI and set it up locally (a desktop build and a workflow library are also provided)
  2. Place the model files you need into the right directories so nodes can load them
  3. On the canvas, start from a model loader and chain prompt encoding, sampling and decoding into the shortest working graph
  4. Save the graph as a reusable template once output looks right, and switch to the official API/backend when another program must trigger it

FAQ

What is ComfyUI?

ComfyUI is a node/graph-based tool for diffusion models; the official repository describes it as the most powerful and modular diffusion model GUI, API and backend and lives at https://github.com/Comfy-Org/ComfyUI . It is an interface and engine rather than a model, so you download model files and place them in the required directories.

How is node-based different from a tabbed UI?

Node-based makes each generation step explicit: loading the model, encoding the prompt, sampling and upscaling are separate nodes, and your wiring decides how data flows. That means a transparent, precisely controllable, reproducible and shareable pipeline, at the cost of a steeper learning curve than a one-click interface.

Which models does it support?

The official native support list for image generation includes Stable Diffusion 1.5, SDXL, SD3.5, Flux.1, Flux.2, Qwen Image, Z-Image, Hunyuan Image 2.1, HiDream, Lumina Image 2.0 and Chroma. The repository notes this is a representative list, so check the official workflow library and docs for the current set.

Is it free, and can I use output commercially?

ComfyUI itself is free and open source under the GPL-3.0 licence, so running it on your own machine costs nothing per generation. However, individual models and LoRAs carry their own licences, so commercial use depends on the terms of the specific model you pick; check the official licence notes and each model provider's licence.

What hardware does it need?

The official repository links to GPU buying recommendations, indicating a discrete GPU is expected, with more VRAM letting you run larger models at higher resolutions. The exact requirement scales with model size, resolution and step count, so follow the official recommendations and benchmarks.

Can I integrate it into my own app?

Yes. It is positioned as a GUI, API and backend in one, so besides generating from the interface you can submit workflow jobs through the official API and embed a working pipeline into your own service or product.