LibreAI / Image / geekai
// image · yangjian102621/geekai

geekai

AI 助手全套开源解决方案,自带运营管理后台,开箱即用。集成了 ChatGPT, Azure, ChatGLM,讯飞星火,文心一言等多个平台的大语言模型。支持 MJ AI 绘画,Stable Diffusion AI 绘画,微博热搜等插件工具。采用 Go + Vue3 + element-plus 实现。

★ 4.7k stars⑂ 1.1k forksApache-2.0updated 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

geekai is an open-source image project by yangjian102621 (yangjian102621/geekai on GitHub). It has 4,709 GitHub stars and 1,069 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 13 September 2026.

GitHub stars
4,709
Forks
1,069
License
Apache-2.0
Last updated on GitHub
13 September 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

Go efficiency

A single static binary in Go: fast startup, tiny footprint, easy to deploy.

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.

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.

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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/yangjian102621/geekai.git
    cd geekai
  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 geekai?

It is an open-source project at yangjian102621/geekai with 1,069 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is geekai free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

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.

Can they match Midjourney quality?

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

// keep exploring

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// alternatives

Alternatives in Image

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

Get geekai

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