AI Use Cases

Head to head · Images · updated Oct 15, 2026

Stable Diffusion WebUI (AUTOMATIC1111) vs FLUX (Black Forest Labs)

Stable Diffusion WebUI (AUTOMATIC1111) scores 59 to FLUX (Black Forest Labs)'s 14 on public evidence for edit & retouch photos with AI, and they rank #1 and #3 there. Both are free to start. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.

Stable Diffusion WebUI (AUTOMATIC1111)

The classic self-hosted browser UI for running Stable Diffusion models locally with extensions like ControlNet.

+ Huge extension ecosystem and years of tutorials make almost any workflow achievable locally.
− Development has slowed, newer models like Flux need forks (Forge), and setup is fiddly for non-technical users.

59▲ 24
evidence / 100

Open Stable Diffusion WebUI (AUTOMATIC1111) ↗

FLUX (Black Forest Labs)

Family of image models (schnell, dev, Pro, Kontext) with open weights and a hosted API from the original Stable Diffusion team.

+ Best prompt adherence and hand/text rendering of any open-weight image model, with Kontext adding instruction-based editing.
− The dev weights are non-commercial, and the 12B model needs a 16GB+ GPU to run comfortably.

14▼ 51
evidence / 100

Open FLUX (Black Forest Labs) ↗

Side by side

public evidence
Stable Diffusion WebUI (AUTOMATIC1111)FLUX (Black Forest Labs)
Evidence score / 1005914
GitHub stars165,0570
Hacker News stories, 30d00
Release-feed mentions, 30d00
Last activity227 days ago–
PricingOpen source · free; needs your own GPUOpen source · schnell/dev weights free; Pro via API per image
Platformswindows, mac, linuxapi, linux, web
MakerAUTOMATIC1111 (community)Black Forest Labs

Which one?

Pick Stable Diffusion WebUI (AUTOMATIC1111) if

  • you want the stronger public evidence (59 vs 14)
  • you need it on mac, windows
  • a bigger GitHub community matters (165,057 vs 0 stars)

Best for local SD 1.5 / SDXL generation.

Pick FLUX (Black Forest Labs) if

  • you need it on api, web

Best for high-fidelity open-weight generation.

Where they compete

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