ComfyUI builds AI images and videos from visible building blocks
November 1, 2026
ComfyUI connects image, video, audio and 3D models into traceable workflows, locally or in the cloud. What version 0.43.0 brings and where the limits are.
What this is about
Image generators such as Midjourney or the image feature in ChatGPT are convenient: you type a sentence and get a picture. But if you want precise control over which model runs, which intermediate steps happen and how to reproduce a result, you quickly hit limits. ComfyUI takes the opposite approach: every step is a visible building block, and you connect these blocks into a pipeline.
The open-source project is now maintained by Comfy Org. The repository is licensed under GPL-3.0 and, according to the GitHub API, had around 144,000 stars on 1 November 2026. Version 0.43.0 shipped on 27 October 2026. A good moment for a practical check, because the tool has long since grown from a pure image tool into a workspace for image, video, audio and 3D.
What ComfyUI actually does
ComfyUI shows a canvas on which you place so-called nodes: one block to load a model, one for the text prompt, one for the sampler, one to save. Lines between the blocks determine which data flows where. A finished pipeline can be saved as a workflow file, shared and later repeated exactly.
According to the README, ComfyUI natively supports numerous open models, including Stable Diffusion, Flux, Qwen Image, Wan 2.2 and LTX-Video for video, as well as models for audio and 3D. So-called partner nodes also let you plug in paid closed models from external providers. Release 0.43.0 added, among other things, support for the MOSS-image model and partner nodes for FLUX 3 Max, Bria's FIBO 2.0 and voice features from HeyGen.
There is a desktop app for Windows and macOS, a manual install for all common operating systems and GPU types, and the paid Comfy Cloud. App Mode can hide complex pipelines behind a simple interface, and a local API allows integration into your own software.
Why it matters
ComfyUI has become a standard tool in the open image and video AI scene, referenced by many tutorials, model providers and community workflows. For agencies, designers and studios, reproducibility is the main draw: a saved workflow documents every step. Working locally also keeps images and data on your own machine. Comfy Org states that even large models can run with 4 GB of graphics memory and 8 GB of RAM; this is a vendor claim that varies greatly by model.
In plain language
ComfyUI works like a model railway with switches. Every block is a station where something happens, and the tracks decide the order in which the train passes through. Once you have built a route, you can send the train along exactly the same route as often as you like.
A practical example
A small online shop needs 60 product images per week on a neutral background in three formats. Until now, an employee edited each image individually in about ten minutes, so ten hours per week. In ComfyUI she builds a workflow once: remove background, generate a new background, crop to three sizes, save. After that she only reviews the results and perhaps corrects five out of 60 images. How much time this really saves depends on hardware and image quality and should be measured on a test batch of 20 images.
Scope and limits
- Learning curve: The node interface is powerful but at first looks like a circuit diagram to beginners. Without templates and tutorials, getting started takes much longer than with one-click generators.
- Hardware and models: Local video models and large image models need a capable graphics card. You often have to download models yourself, and their licences differ; not every model may be used commercially.
- Extensions as a risk: Many workflows rely on custom nodes from the community. That is third-party code running on your own machine. Extensions should only be installed from trustworthy sources.
The next sensible test
A good starting point is the desktop app with one of the official workflow templates, such as a simple text-to-image pipeline. If that works for you, the next step is to swap individual blocks, save the workflow and run it with ten different prompts. This quickly shows whether your hardware is sufficient and whether the effort pays off compared with a one-click generator.
SEO & GEO keywords
ComfyUI, Comfy Org, node-based AI, local image generation, AI video, Stable Diffusion, Flux, Wan 2.2, workflow, custom nodes, open source, creative tools
💡 In plain English
ComfyUI is a free program that lets you assemble AI images and videos step by step. Each step is a box, and the boxes are connected with lines. That way a good result can be repeated exactly at any time.
Key Takeaways
- →ComfyUI is an open-source workspace under GPL-3.0 for image, video, audio and 3D AI with a node interface.
- →Version 0.43.0 shipped on 27 October 2026 and added, among other things, MOSS-image and new partner nodes.
- →The repository had around 144,000 GitHub stars on 1 November 2026.
- →There is a desktop app for Windows and macOS, a manual install and the paid Comfy Cloud.
- →Workflows can be saved, shared and repeated exactly.
- →Learning curve, hardware needs, model licences and community extensions are the main limits.
FAQ
Is ComfyUI free?
The software itself is open source under GPL-3.0 and free to use locally. Costs arise with Comfy Cloud and with paid partner nodes from external providers.
Do I need a powerful graphics card?
For local use, a capable GPU helps a lot. Comfy Org states that even large open models can run with as little as 4 GB of graphics memory and 8 GB of RAM; in practice, more memory is much more comfortable.
Can I use the images commercially?
That depends on the model used, not on ComfyUI. Each model licence should be checked before commercial use.
What are custom nodes?
Community extensions that add new building blocks. They are third-party code and should only come from trustworthy sources.