KNX-Tagger

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Image tagging tool using Google's Gemini API for Stable Diffusion/Flux LoRA training.

All issues/feature requests need to be handled on the Github:

https://github.com/Ktiseos-Nyx/Knx-Tagger

Requirements

• Python 3.10+

• PyQt6

• Google Gemini API key (free tier available)

• Supported models: gemini-2.5-flash, gemini-2.5-pro, gemini-flash-latest

Features

• Multiple Tagging Modes:

  • Danbooru-style tags (comma-separated)

  • Natural language captions

  • Custom prompts with your own instructions

• Bias Modes for Focused Tagging:

  • Character focus: Emphasize character details, expressions, poses

  • Style focus: Highlight artistic technique, composition, lighting

  • Realism focus: Detailed environmental and photographic elements

  • Environment focus: Scene context, settings, atmosphere

• Flexible Workflow:

  • Test mode: Preview tags on 10 images first

  • Batch mode: Process entire folders

  • Skip already-tagged images

  • Tag filtering and exclusion

  • Activation tag prepending (for LoRA triggers)

• Kohya-Compatible Output:

  • .txt or .caption files alongside images

  • Perfect for SD/Flux training workflows

• Theme System:

  • 213+ pre-made themes from KNX collection

  • Support for qt-material, unreal-stylesheet, and custom QSS

  • Searchable theme selector dialog

  • Complete skinning documentation for creating custom themes

  • Guides for Krita, GIMP, Photoshop, Affinity, and Illustrator

• Cost Tracking:

  • Estimates API costs before processing

  • Uses efficient gemini-2.5-flash model

  • Concurrent processing (10 workers) for speed

Installation

Recommended: Install as Package (with knx-tagger command)

# Clone the repo
git clone https://github.com/Ktiseos-Nyx/Knx-Tagger.git
cd Knx-Tagger

# Install in editable mode
pip install -e .

# Now you can run from anywhere:
knx-tagger

Alternative 1: Using venv (Standard)

# Create virtual environment
python -m venv venv

# Activate it
# On macOS/Linux (bash/zsh):
source venv/bin/activate

# On macOS/Linux (fish shell):
source venv/bin/activate.fish

# On Windows:
venv\Scripts\activate

# Install as package
pip install -e .

Alternative 2: Using uv (Faster, Optional)

uv is a blazing-fast Python package installer - totally optional but recommended if you want speed!

# Install uv (if you don't have it)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Create venv and install in one go
uv venv
source .venv/bin/activate  # or .venv/bin/activate.fish for fish shell
uv pip install -e .

Get Your API Key

1. Get a Gemini API key:

   • Visit: https://aistudio.google.com/app/apikey

   • Create a free API key

2. Configure API key (optional):

   cp .env.example .env
   # Edit .env and add your key
   

   Or just enter it when prompted on first run - the app will offer to save it for you!

Usage

If Installed as Package:

knx-tagger

Or Run Directly:

python main.py
# or
python -m knx_tagger

Note: You may see a harmless warning like ALTS creds ignored. Not running on GCP... in the console - this is just Google's library noting you're not on Google Cloud Platform. It's safe to ignore; the app uses API key authentication which is working correctly.

Workflow:

1. Select folder containing images (JPEG, PNG, WebP)

2. Choose tagging mode:

   • Danbooru: Creative, descriptive tags

   • Natural: Full sentence captions

   • Custom: Write your own prompt

3. Test first: Run on 10 images, review quality

4. Batch process: Tag entire folder after you're satisfied

5. Output: .txt or .caption files alongside each image

Themes

KNX-Tagger includes 213+ pre-made themes! Access them via 🎨 Themes in the top menu.

Browsing Themes

• Click 🎨 Themes to open the theme selector

• Browse by category or search by name

• Double-click to apply a theme instantly

• Current theme is highlighted

Creating Custom Themes

Want to make your own Winamp-style skins? Check out the documentation:

• knx_tagger/themes/SKINNING_GUIDE.md - Complete QSS styling reference

• knx_tagger/themes/WIDGET_LAYOUT_REFERENCE.md - Widget positions for template creation

• knx_tagger/themes/SOFTWARE_SPECIFIC_GUIDES.md - Tutorials for Krita, GIMP, Photoshop, etc.

Theme Categories

• AI themes (ChatGPT, Claude, Gemini, Llama)

• Retro UI (MS-DOS, Windows XP, Mac OS 9, Linux distros)

• Games (Genshin Impact, Pokemon, Final Fantasy, Playstation)

• Aesthetic (Vaporwave, Kawaii, Neon, Sunset gradients)

• Food & Brands (Taco Bell, Domino's, Coca-Cola)

• Pop Culture (MLP, Deadpool, X-Men, VTubers)

• And many more cursed options!

Tips

• Danbooru mode is great for inventing new tags beyond standard booru sets

• Test before batch to ensure prompt quality

• Skip existing prevents re-tagging already processed images

• Cost estimates are approximate - actual costs may vary

• Bias modes help focus on specific aspects (character, style, environment, realism)

• Exclude tags can filter out unwanted terms from AI-generated tags

• Some themes may look janky - they were designed for Dataset-Tools originally!

Extending

KNX-Tagger is designed to be modular:

• knx_tagger/core/gemini_tagger.py - API integration

• knx_tagger/utils/file_handler.py - File operations

• knx_tagger/ui/main_window.py - PyQt6 interface

Easy to integrate into larger applications or use as a library.

License

MIT