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 →