LibreAI / Image / krita-ai-diffusion
// image · Acly/krita-ai-diffusion

krita-ai-diffusion

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

★ 10.7k stars⑂ 637 forksGPL-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

krita-ai-diffusion is an open-source image project by Acly (Acly/krita-ai-diffusion on GitHub). It has 10,666 GitHub stars and 637 forks, is released under the GPL-3.0 license, and was last updated on GitHub on 3 October 2026.

GitHub stars
10,666
Forks
637
License
GPL-3.0
Last updated on GitHub
3 October 2026
Category
Image
Listing
Full install guide
Official site
Official site
// 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/Acly/krita-ai-diffusion.git
    cd krita-ai-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 krita-ai-diffusion?

It is an open-source project at Acly/krita-ai-diffusion with 637 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is krita-ai-diffusion free for commercial use?

GPL-3.0 — free to use, but derivative works must stay open.

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 krita-ai-diffusion is not the right fit.

Get krita-ai-diffusion

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