AUTOMATIC1111 vs Fooocus
If you’re tired of comparing cloud apps, both of these run on your machine - the real question is whether you want Fooocus’s guided, low-friction flow or AUTOMATIC1111’s full toolbox. Here’s a straight path to the right choice for your workflow.
Feature Comparison
| Feature | Fooocus | AUTOMATIC1111 |
|---|---|---|
| Runs Locally | Yes | Yes |
| Open Source | Yes | Yes |
| NSFW Allowed | Yes | Yes |
| Type | Local / Offline | Local / Offline |
Quick Verdict - March 2026
Pick Fooocus if you want to type a prompt, pick a style preset, and get a strong SDXL-class image without living inside a settings menu. Pick AUTOMATIC1111 if you already know you’ll need extensions, ControlNet, LoRA training hooks, or SD 1.5-era workflows - or you want every sampler and script in one place.
One line: Fooocus = fewer decisions up front. AUTOMATIC1111 = more control, more maintenance.
Side-by-side spec table
| AUTOMATIC1111 (SD Web UI) | Fooocus | |
|---|---|---|
| UI type | Tabbed web UI: txt2img, img2img, extras, extensions | Single-page, prompt-first layout (Midjourney-style focus) |
| Setup | Clone repo, install deps, first launch pulls packages | Usually quick: run the launcher, let it fetch what it needs |
| VRAM | Wide model support; use --medvram / --lowvram when you’re tight |
Tuned pipelines around SDXL-style generation; still GPU-dependent |
| Model breadth | SD 1.5, SDXL, and huge community catalog via folders | Strong on SDXL workflows; not a drop-in replacement for every A1111 trick |
| Best for | Extension power users, inpainting power workflows, “I need every knob” | Fast local results with minimal setup and mental overhead |
Where AUTOMATIC1111 wins
- Extension ecosystem: ControlNet, regional prompters, animation helpers - if it exists, someone built an extension for it.
- Same UI for everything: txt2img, img2img, inpainting, upscaling, extras - once you learn the tabs, you’re not switching mental models.
- Older checkpoints and LoRAs: SD 1.5 and community fine-tunes are first-class in most tutorials.
- You steer every parameter: When you want to match a reference workflow pixel-for-pixel, you’ll want the knobs.
Where Fooocus wins
- Time-to-first-good-image: You’re not auditioning fifty settings before you see something you like.
- Preset “styles” and quality modes: Good when you’d rather not build a sampler stack from scratch every session.
- Less UI noise: If Gradio tabs stress you out, Fooocus feels closer to “prompt → go.”
- Great when SD is only part of your day: Jump in, generate, get back to Photoshop or your editor.
Setup compared
AUTOMATIC1111: You’ll install Python/Git (per project docs), clone the repo, run webui-user.bat or webui.sh, and wait for first-run downloads. You’ll touch the command line for flags when VRAM gets tight - that’s normal, not a failure.
Fooocus: Download the package for your OS, run the launcher, point it at model folders when asked. Keep installs in separate folders if you also run A1111 - two apps, two trees, no shared venv surprises.
Hardware & performance
- Both need a discrete GPU for sane speeds; CPU-only is technically possible in some stacks but not what you want for daily use.
- AUTOMATIC1111: Wiki and community docs talk about 4 GB+ VRAM with flags and higher for comfortable SDXL - your exact ceiling depends on resolution and model.
- Fooocus: Often described as friendly on mid-range cards because it’s built around streamlined SDXL-style pipelines, but heavy resolutions and refiners still cost VRAM.
- Don’t trust a single “X% faster” claim from random posts - same seed, same model, same resolution still matters if you’re comparing.
Who should use what
| AUTOMATIC1111 if you… | Fooocus if you… |
|---|---|
| Want extensions and community scripts as your main feature | Want the shortest path from install to a nice image |
| Mix SD 1.5, SDXL, and tools like ControlNet regularly | Mostly care about SDXL-style quality with a simple screen |
| Like tuning samplers, CFG, hires fix yourself | Prefer presets and fewer exposed numbers |
If you want a pre-wired local stack with less manual setup, try LocalForge AI alongside installing these yourself - you can always pick the UI that matches your project later.
About Fooocus
Minimal Stable Diffusion frontend for beginners. Type a prompt, get an image - nearly zero configuration required.
Full Fooocus profile →About AUTOMATIC1111
The original Stable Diffusion web UI with 145k+ GitHub stars. Full-featured image generation frontend with extensions, LoRA support, and img2img.
Full AUTOMATIC1111 profile →