Overview

TinyLuma is a fast, standalone desktop photo editor designed specifically for finishing AI-generated artwork and photo sets. Instead of waiting for heavy creative suites (Lightroom, Photoshop) to launch, TinyLuma provides a focused, bloat-free workflow with professional Oklab color science, custom-tuned detail recovery, .cube LUT support, and instant batch processing.

No Electron, no web runtime, no subscriptions — a single native executable under 8 MB.

Key Features

• ⚡ Blazing Fast & Ultra-Lightweight (~8 MB): Built with pure Rust and egui. Starts instantly, uses minimal RAM, and renders edits at 60 FPS via multi-threaded Rayon pipelines and 3D LUT caching.
• 🧠 Custom AI Detail Engine: Algorithms for Texture, Clarity, and Sharpen tuned specifically to eliminate smooth AI "plastic skin" and restore micro-contrast without edge halos.
• 🧬 ComfyUI & A1111 Metadata Preservation: Exported PNGs retain raw prompt and node graph metadata (tEXt, zTXt, iTXt chunks). Your ComfyUI workflow stays intact.
• 🎨 Oklab Perceptual Color Grading: 16 non-destructive controls (Light, Color, Details, Effects) powered by Oklab color space and Bradford chromatic adaptation to avoid color shifts and clipping.
• 🎞️ Batch Workflow & Filmstrip: Navigate multi-image sessions, use Preset to All to sync looks across an entire generation batch, and export with background threading.
• 🎭 Complete 3D LUT System: Direct .cube LUT library integration with subfolder categorization, search, favorites (★), and intensity blending (0–100%).
• ⚖️ Before / After Split Screen: Interactive draggable split divider to compare edits, instantly toggled with the \ key.

Why TinyLuma?

Engineered for AI Generations

Raw AI images (Stable Diffusion, Midjourney, Flux) often suffer from common artifacts: flat lighting, low local contrast, and unnatural "plastic" skin textures. TinyLuma solves this at the algorithm level:

• Clarity: Logarithmic local contrast base with soft-knee limiting. Enhances depth and scene separation without burning highlights or creating dark halos around subjects.
• Texture: Edge-preserving bilateral separation. Extracts fine surface details (hair strands, fabric weave, skin pores) without amplifying noise or digital artifacts.
• Sharpen: Asymmetric luma unsharp mask. Limits light-edge blooming (≤ 0.20) and dark ringing (≤ 0.12) to produce crisp, print-ready results.
• Film Grain: Darktable-inspired 3-octave simplex noise mapped via paper-response curves, strongest in midtones to naturally break up AI surface banding.

All spatial radii scale dynamically to exported resolution, ensuring identical results between preview and full-res renders.

ComfyUI & AI Metadata Preservation (Optional)

Most editors silently wipe workflow metadata, while others force-embed it. TinyLuma gives you full privacy control with a simple toggle:

• Keep Workflows (Opt-In): Copies tEXt, zTXt, iTXt, and eXIf data from source to export. Drop your edited PNG straight back into ComfyUI or Automatic1111 to reload your exact prompt, seed, and node graph.
• Protect Your Privacy (Opt-Out): Uncheck the metadata box to export completely clean images — no leaked prompts, models, LoRAs, or generation settings.

Keyboard Shortcuts

Download & Quick Start

Pre-built Binaries

⬇ Download TinyLuma v1.0.0 — Windows x64

Standalone .zip (~8 MB) — no installation required. Includes 9 curated starter LUTs.
Just unpack and run TinyLuma.exe.

Build from Source

Ensure you have Rust 1.95+ installed:

git clone https://github.com/ThetaCursed/TinyLuma.git
cd TinyLuma
cargo build --release

The optimized binary will be compiled to target/release/TinyLuma.exe.

Folder Structure

Place your custom .cube 3D LUTs inside the luts/ directory. Subfolders will automatically turn into categories inside the UI:

TinyLuma/
├── tiny_luma.exe
├── config/             # Automatically created (presets & favorites)
└── luts/               # Put your .cube files here
    ├── Film/
    │   └── Kodak_Portra.cube
    └── Cinematic/
        └── Moody_Teal.cube

Supported Formats

• Exports:
  • PNG (Lossless, with optional metadata preservation)
  • JPEG (Lossy, configurable quality 1–100, default 90)
  • WebP (Lossy, configurable quality 1–100, optimized for web/social sharing)

License

TinyLuma is open-source software licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later). See the LICENSE file for details.

Copyright (c) 2026 ThetaCursed.