LibreAI / Image / photoview
// image · photoview/photoview

photoview

Photo gallery for self-hosted personal servers

★ 6.5k stars⑂ 491 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

photoview is an open-source image project by photoview (photoview/photoview on GitHub). It has 6,540 GitHub stars and 491 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 1 October 2026.

GitHub stars
6,540
Forks
491
License
AGPL-3.0
Last updated on GitHub
1 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

Docker-ready

Ships with container support, so you can run it with a single compose file and predictable dependencies.

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/photoview/photoview.git
    cd photoview
  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 photoview?

It is an open-source project at photoview/photoview with 491 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is photoview free for commercial use?

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

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.

Are they free for commercial work?

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

// keep exploring

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// alternatives

Alternatives in Image

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

Get photoview

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