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A small, privacy-first text-to-image tool: type a prompt, get an image. Bring your own provider.

Project description

🖼️ Limn

to limn: to depict or describe; to paint.

A small, privacy-first tool that turns a text description into an image. Type a prompt, get a picture — no account, minimal options, bring your own provider.

pip install limn

limn "a red bicycle against a brick wall" -o bike.png
  • Type a description → get an image. That's the whole thing.
  • No account, private by default. Your prompts and images are yours. The only network egress is the generation request to the provider you chose.
  • Bring your own provider — self-hosted (SwarmUI / any OpenAI-compatible endpoint) or a cloud key (Google Imagen, OpenAI / DALL·E). Swap with one setting.
  • Minimal by design. Prompt, size, count, seed. Want power? Install something bigger — Limn stays lean.

Quick start

Pick whichever provider you already have:

# Self-hosted SwarmUI (free, your GPU)
export SWARMUI_BASE_URL=https://image.example.org
export SWARMUI_TOKEN=...   # only if fronted by auth
limn "watercolour fox" --provider swarmui

# Any OpenAI-compatible /v1/images endpoint (LocalAI, ...)
export OPENAI_BASE_URL=http://localhost:8080/v1
limn "watercolour fox" --provider openai-compatible

# Google Imagen (cheap, ~$0.02/image on the Fast tier)
export GEMINI_API_KEY=...
limn "watercolour fox" --provider gemini

# OpenAI Images
export OPENAI_API_KEY=...
limn "watercolour fox" --provider openai

Then set your provider once so you never pass --provider again:

limn --init-config        # writes a commented ./limn.yaml template
mv limn.yaml ~/.limn.yaml # personal defaults, used everywhere

Usage

limn "a red bicycle against a brick wall" -o bike.png
limn "watercolour fox" --provider swarmui --size 1024x1024 --count 4 --seed 42
Option What
-p, --provider swarmui, openai-compatible, openai, gemini
-m, --model Model name (provider-specific)
-s, --size e.g. 1024x1024 (Imagen maps to the nearest aspect ratio)
-n, --count Number of images (1–10)
--seed Reproducibility, where the backend supports it (SwarmUI)
--negative Negative prompt, where supported (SwarmUI)
-o, --out Output file; default is a slug of the prompt, never overwritten
-c, --config Explicit config file

limn models asks your provider which models it offers (SwarmUI requires picking one — e.g. limn "a fox" -m juggernautXL_v9). The web UI and desktop Settings have a matching "fetch models" button.

Config

Layered, later wins: built-in defaults → ~/.limn.yaml (your provider + keys, set once) → ./limn.yaml → CLI flags. Secrets are referenced as ${VAR} so no plaintext keys live in files:

provider: swarmui
size: [1024, 1024]

providers:            # keep several configured; swap with `provider:`
  swarmui:
    base_url: https://image.example.org
    model: juggernautXL_v9
    api_key: "${SWARMUI_TOKEN}"
  gemini:
    model: imagen-4.0-fast-generate-001

Web UI

pip install "limn[serve]"
limn serve                # opens http://127.0.0.1:5466/ in your browser

One page: type a prompt → Generate → the image appears → Save (to disk), Again (regenerate), or Delete. The session gallery lives in the server process's memory only — nothing touches disk until you click Save.

Binds 127.0.0.1 by default. Binding any other host requires a token (--token, or one is generated and printed); useful flags: --port, --out-dir, --no-browser.

Hosting a shared demo

limn serve --demo (or LIMN_DEMO=1) runs a friction-free public instance with guardrails instead of a token: 10 images/hour per IP, provider/model locked to the server config, one ≤1024px image per request, server-side Save disabled (visitors download instead), gallery entries expire after 15 min, and the page shows an "install locally" banner. See docs/demo-deploy.md.

Desktop app

A native app (Tauri) for people who don't live in a terminal: install, pick your provider in Settings (server URL / API key — bring your own), type, generate. First launch bootstraps a private Python runtime via uv (~a minute, no system Python needed); images save to Pictures/Limn. Installers for macOS / Windows / Linux are built by CI from desktop/ — grab them from the GitHub releases page. Builds are unsigned for now: on macOS right-click → Open the first time; on Windows "More info → Run anyway".

Roadmap

CLI, web UI (limn serve), hostable demo mode, and the desktop app — all four SPEC surfaces are in.

📄 See SPEC.md for the full specification.

Companion to slide-stream, which shares the same image-provider approach.

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