ComfyUI vs Fooocus

Last reviewed Aug 26, 2026 · 743 words

Fooocus is the tool you install for a relative who wants to type "a lighthouse at dusk, oil painting" and get four good images. ComfyUI is the tool you install for yourself once you want to know why the fourth one was better. They share a licence (GPL-3.0), a language (Python), a birth year (2023), and a catalogue minimum of 8 GB RAM, and almost nothing else: Fooocus hides every parameter behind opinionated defaults and a prompt expander, while ComfyUI exposes the whole diffusion pipeline as a wireable graph. The choice is about whether you want the parameters to exist.

The first hour

Fooocus on Windows is a downloaded archive and a run.bat; it fetches an SDXL checkpoint on first launch and opens a Gradio page on port 7865 with a prompt box, a Generate button, and an Advanced checkbox most users never tick. Its prompt expansion rewrites your short prompt into the longer, styled form Midjourney users expect, and the built-in style presets do the rest. 10 minutes from download to a usable image is realistic.

ComfyUI's first hour is spent learning that a checkpoint loader, two CLIP text encode nodes, a KSampler, a VAE decoder, and a save node are what "generate an image" actually means. The default workflow works out of the box on port 8188, but the moment you want img2img or an upscale pass you are placing nodes. Community workflow files help enormously, since a downloaded PNG can carry its whole graph embedded, but you will still open one that needs 6 custom node packs you do not have.

Fooocus stopped where SDXL stopped

This is the fact that decides most cases. Fooocus is built around SDXL specifically, and its author moved it to limited long-term support in 2024, bug fixes only. It does not run Flux, does not run any of the open video models, and will not gain them; community forks exist, but they are forks. If your interest in local generation is keeping pace with what the image generation category is producing, Fooocus is a fixed point in a moving field.

ComfyUI is the moving field. New model families typically get ComfyUI support within days because the node system absorbs new architectures cleanly, and its 129,995 GitHub stars against Fooocus's 52,538 reflect where the energy went. The Automatic1111 comparison makes the same point about A1111; ComfyUI is the common answer to both.

The same 8 GB means different things

Fooocus documents a 4 GB VRAM Nvidia floor and does a lot of automatic offloading to hit it, which is why it runs acceptably on a 4 GB laptop GPU. ComfyUI on the same card is fine for SDXL, and it is the more frugal of the two on big models because it only re-executes the parts of the graph that changed and manages VRAM aggressively. Where Fooocus wins is that you never think about it; where ComfyUI wins is that a 12 GB card can run quantised Flux at all. If you are buying hardware for this, VRAM math is written for LLMs but the arithmetic transfers.

Control you cannot buy back

Fooocus does include inpainting, outpainting, an image-prompt mode that stands in for ControlNet, and 1.5x and 2x upscales, all as tabs rather than nodes, so it is not a toy. But "limited fine-grained control" in the catalogue is the honest ceiling: you cannot change the sampler per pass, chain two models, or script a batch with per-image conditioning. In ComfyUI every one of those is a Tuesday.

Decision table

What I'd do

I would put Fooocus on a family member's machine and ComfyUI on mine, and I would not feel that was inconsistent. For my own use the deciding factor is Fooocus's frozen model support: SDXL is still a fine model in 2026, but a tool that cannot load anything newer is a tool with an expiry date, and an evening spent learning ComfyUI's graph buys years of not caring what ships next.