LibreAI / Image / SimpleTuner
// image · bghira/SimpleTuner

SimpleTuner

A general fine-tuning kit geared toward image/video/audio diffusion models.

★ 2.9k stars⑂ 295 forksAGPL-3.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

SimpleTuner is an open-source image project by bghira (bghira/SimpleTuner on GitHub). It has 2,931 GitHub stars and 295 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 1 October 2026.

GitHub stars
2,931
Forks
295
License
AGPL-3.0
Last updated on GitHub
1 October 2026
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

ML-powered

Machine learning is baked into the core workflow, not bolted on.

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.

Batch processing

Run whole folders through upscalers and converters unattended.

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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/bghira/SimpleTuner.git
    cd SimpleTuner
  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 SimpleTuner?

It is an open-source project at bghira/SimpleTuner with 295 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is SimpleTuner free for commercial use?

AGPL-3.0 — free to use, including over a network, with source-sharing obligations.

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.

Which should I start with?

For generation: a polished studio interface. For enhancement: a dedicated upscaler. For libraries: a photo manager.

// keep exploring

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// alternatives

Alternatives in Image

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

Get SimpleTuner

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