ComfyUI

comfy.org

Open-source, node-based interface for building and running Stable Diffusion, video, audio, and 3D generation workflows locally with no coding.

Overview

ComfyUI is the most popular open-source, node-based interface for building and running Stable Diffusion pipelines. Released by comfyanonymous under the GPL-3.0 license, it represents image-generation workflows as a visual graph of connected nodes — load checkpoint, encode prompt, sample, decode, upscale — so you can experiment with complex flows without writing code. It runs fully offline, starts in seconds, and uses smart memory management to run on GPUs with as little as 1GB of VRAM. Beyond still images it now covers video (Wan, Hunyuan Video, LTX-Video), audio (Stable Audio, ACE Step), and 3D (Hunyuan3D), making it the de facto frontend for serious local AI media work. A desktop app for Windows and macOS plus a fully portable Windows build lowers the barrier for newcomers.

Key Features

  • Graph/node canvas for designing reusable generation workflows — produces quality visual assets from prompts.
  • Broad model support: SD1.x–SD3.5, SDXL, Flux, Hunyuan, Qwen Image, and more — supports various artistic styles and formats.
  • Video, audio, and 3D pipelines in addition to image generation — suitable for marketing visuals and creative projects.
  • Save and share entire workflows as JSON or embedded in PNG metadata — produces quality visual assets from prompts.
  • Desktop app, portable build, and manual install across NVIDIA/AMD/Intel/Apple Silicon — supports various artistic styles and formats.

Pricing

PlanPriceFor
Desktop & Portable$0Local use on your own hardware
Manual install$0All OS and GPU types
Comfy CloudPaidHosted GPU for users without local hardware

Pricing is subject to change. Check the official website for current plans and regional discounts. Free tiers often have usage limits — evaluate whether those limits match your expected volume before committing.

Comparison

vs. Fooocus: Where Fooocus might excel in certain styles or output quality, ComfyUI offers its own balance of speed, cost, and ease of use for image generation needs.

vs. Invoke Ai: Where Invoke Ai might excel in certain styles or output quality, ComfyUI offers its own balance of speed, cost, and ease of use for image generation needs.

vs. Stable Diffusion: Where Stable Diffusion might excel in certain styles or output quality, ComfyUI offers its own balance of speed, cost, and ease of use for image generation needs.

Getting Started

  • Begin with simple, descriptive prompts — specify style, mood, and composition rather than relying on the tool to guess intent.
  • Iterate on one good generation rather than spawning many random ones — most image tools improve with refinement.
  • Check licensing terms if you plan to use generated images commercially; policies vary significantly between tools.

Compare alternatives

Side-by-side with the 3 closest alternatives.

ToolCategoryPricingVisit
ComfyUI (this) image, codeFrom $0/mo Site ↗
Fooocusimage, designFrom $0/mo Site ↗
Invoke AIimage, designFrom $0/mo Site ↗
Stable DiffusionimageFrom $0/mo Site ↗
ComfyUI Current

Open-source, node-based interface for building and running Stable Diffusion, video, audio, and 3D generation workflows locally with no coding.

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Editor’s Review
4.6/5
Pros
  • +Node-graph canvas gives full control over every step of a pipeline
  • +Runs fully offline with smart memory management down to 1GB VRAM
  • +Covers image, video, audio, and 3D models in one tool
Cons
  • Steep learning curve — a blank canvas intimidates beginners
  • You supply your own models and GPU hardware

ComfyUI is unmatched for hands-on control of local image, video, and audio generation, and its node graph pays off the moment workflows get non-trivial. The learning curve is real — a blank canvas is intimidating compared to one-click tools — and you supply your own models and GPU. For anyone serious about self-hosted AI media, it is the default starting point.

See all reviews →

Last updated: 2026-08-04

When to use it

  • Use it when you need node-graph canvas gives full control over every step of a pipeline
  • Use it when you need runs fully offline with smart memory management down to 1GB VRAM
  • Use it when you need covers image, video, audio, and 3D models in one tool

When to skip it

  • Avoid it if steep learning curve — a blank canvas intimidates beginners
  • Avoid it if you supply your own models and GPU hardware

Alternatives to consider