LibreAI / Image / fast-stable-diffusion
// image · TheLastBen/fast-stable-diffusion

fast-stable-diffusion

fast-stable-diffusion + DreamBooth

★ 7.9k stars⑂ 1.4k forksMITupdated 2025-11
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

fast-stable-diffusion is an open-source image project by TheLastBen (TheLastBen/fast-stable-diffusion on GitHub). It has 7,910 GitHub stars and 1,366 forks, is released under the MIT license, and was last updated on GitHub on 29 November 2025.

GitHub stars
7,910
Forks
1,366
License
MIT
Last updated on GitHub
29 November 2025
Category
Image
Listing
Full install guide
Official site
GitHub repo
// how it works

How it works

  1. Choose the right tool

    Generation studio, upscaler, background remover, or photo library — match the tool to the task.

  2. Install it your way

    Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.

  3. Add models if needed

    Generation tools need checkpoint files; utilities like upscalers usually bundle everything.

  4. Create or organize

    Generate, enhance, or import — then export, share, or keep building your library.

// features

Why people love it

Smart photo libraries

Self-hosted managers with AI tagging, face recognition, and deduplication.

Purpose-built utilities

Single-job tools (upscale, de-background, restore) that do one thing excellently.

Model freedom

Bring any compatible open checkpoint; you are never locked to one vendor's style.

Runs locally

Your images stay on your machine — important for client work and privacy.

No subscriptions

The defining trait of this whole category: professional results without monthly fees.

Non-destructive

Edits stay reversible; originals are never touched.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/TheLastBen/fast-stable-diffusion.git
    cd fast-stable-diffusion
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains fast-stable-diffusion?

It is an open-source project at TheLastBen/fast-stable-diffusion with 1,366 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is fast-stable-diffusion free for commercial use?

MIT licensed — use it commercially, no strings attached.

Can they match Midjourney quality?

With the right open checkpoints, absolutely — the interface matters less than the model you load.

Are they free for commercial work?

Mostly yes under MIT/Apache/GPL — but verify each license, especially for client deliverables.

Do I need a powerful GPU?

Generation benefits hugely from one; upscalers and photo managers are far lighter.

// keep exploring

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// alternatives

Alternatives in Image

The most-starred other Image projects in the LibreAI catalogue — the realistic shortlist if fast-stable-diffusion is not the right fit.

Get fast-stable-diffusion

Free and open — grab the source, star the repo, and start creating.