LibreAI / Image / OneTrainer
// image · Nerogar/OneTrainer

OneTrainer

OneTrainer is a one-stop solution for all your Diffusion training needs.

★ 3.2k stars⑂ 334 forksAGPL-3.0updated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

OneTrainer is an open-source image project by Nerogar (Nerogar/OneTrainer on GitHub). It has 3,228 GitHub stars and 334 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 28 September 2026.

GitHub stars
3,228
Forks
334
License
AGPL-3.0
Last updated on GitHub
28 September 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

Batch processing

Run whole folders through upscalers and converters unattended.

Extensible ecosystems

Extensions, scripts, and community presets extend the popular studios far beyond stock.

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.

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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/Nerogar/OneTrainer.git
    cd OneTrainer
  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 OneTrainer?

It is an open-source project at Nerogar/OneTrainer with 334 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is OneTrainer 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 OneTrainer is not the right fit.

Get OneTrainer

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