LibreAI / Image / dream-textures
// image · carson-katri/dream-textures

dream-textures

Stable Diffusion built-in to Blender

★ 8.2k stars⑂ 436 forksGPL-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

dream-textures is an open-source image project by carson-katri (carson-katri/dream-textures on GitHub). It has 8,212 GitHub stars and 436 forks, is released under the GPL-3.0 license, and was last updated on GitHub on 17 September 2026.

GitHub stars
8,212
Forks
436
License
GPL-3.0
Last updated on GitHub
17 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

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.

No subscriptions

The defining trait of this whole category: professional results without monthly fees.

Non-destructive

Edits stay reversible; originals are never touched.

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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/carson-katri/dream-textures.git
    cd dream-textures
  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 dream-textures?

It is an open-source project at carson-katri/dream-textures with 436 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is dream-textures free for commercial use?

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

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 dream-textures is not the right fit.

Get dream-textures

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