Character Browser & Generator

A local web-based GUI for managing character profiles (JSON) and generating consistent images using ComfyUI.

Features

• Character Gallery: Automatically scans your characters/ folder and builds a searchable, sortable database.
• Outfit Gallery: Manage reusable outfit presets that can be applied to any character.
• Actions Gallery: A library of reusable poses and actions (e.g., "Belly Dancing", "Sword Fighting") that can be previewed on any character model.
• Styles Gallery: Manage art style / artist LoRA presets with AI-assisted bulk creation from your styles LoRA folder.
• Scenes Gallery: Background and environment LoRA presets, previewable with any character.
• Detailers Gallery: Detail enhancement LoRA presets for fine-tuning face, hands, and other features.
• Checkpoints Gallery: Browse all your installed SDXL checkpoints (Illustrious & Noob families). Stores per-checkpoint generation settings (steps, CFG, sampler, VAE, base prompts) via JSON files in data/checkpoints/. Supports AI-assisted metadata generation from accompanying HTML files.
• AI-Powered Creation: Create and populate gallery entries using AI to generate profiles from descriptions or LoRA HTML files, or manually create blank templates.
• Character-Integrated Previews: Standalone items (Outfits/Actions/Styles/Scenes/Detailers/Checkpoints) can be previewed directly on a specific character's model.
• Granular Prompt Control: Every field in your JSON models (Identity, Wardrobe, Styles, Action details) has a checkbox. You decide exactly what is sent to the AI.
• ComfyUI Integration:
  • SDXL Optimized: Designed for high-quality SDXL/Illustrious workflows.
  • Localized ADetailer: Automated Face and Hand detailing with focused prompts (e.g., only eye color and expression are sent to the face detailer).
  • Quad LoRA Chaining: Chains up to four distinct LoRAs (Character + Outfit + Action + Style/Detailer/Scene) sequentially in the generation workflow.
  • Per-Checkpoint Settings: Steps, CFG, sampler name, VAE, and base prompts are applied automatically from each checkpoint's JSON profile.
  • Real-time Progress: Live progress bars and queue status via WebSockets (with a reliable polling fallback).
• Batch Processing:
  • Fill Missing: Generate covers for every item missing one with a single click, across all galleries.
  • Bulk Create from LoRAs/Checkpoints: Auto-generate JSON metadata for entire directories using an LLM.
• Advanced Generator: A dedicated mix-and-match page combining any character, outfit, action, style, scene, and detailer in a single generation.
• Smart URLs: Sanitized, human-readable URLs (slugs) that handle special characters and slashes gracefully.

Prerequisites

1. Python 3.10+
2. ComfyUI running locally (default: http://127.0.0.1:8188).
3. ComfyUI Custom Nodes:
   • ComfyUI-Impact-Pack (Required for FaceDetailer).
4. Models:
   • Ensure your Checkpoints are in the folders defined in app.py.
   • Face detection model: bbox/face_yolov9c.pt (or update comfy_workflow.json).
   • Hand detection model: bbox/hand_yolov8s.pt.

Setup & Installation

Option A — Docker (recommended)

1. Clone the repository.
2. Edit docker-compose.yml if needed:
   • Set COMFYUI_URL to your ComfyUI host/port.
   • Adjust the /Volumes/ImageModels volume path to your model directory. If you're on Docker Desktop, add the path under Settings → Resources → File Sharing first.
3. Start services:

   docker compose up -d
   

   The app will be available at http://localhost:5782.

Option B — Local (development)

1. Clone the repository to your local machine.
2. Configure Paths: Open app.py and update the following variables to match your system:

   app.config['COMFYUI_URL'] = 'http://127.0.0.1:8188'
   app.config['ILLUSTRIOUS_MODELS_DIR'] = '/path/to/your/Illustrious/models'
   app.config['NOOB_MODELS_DIR'] = '/path/to/your/Noob/models'
   

3. Launch: Simply run the launch script. It will handle the virtual environment and dependencies automatically.

   chmod +x launch.sh
   ./launch.sh
   

Usage

Creating Content

• AI Generation: Toggle "Use AI to generate profile from description" on, then describe your character, outfit, or action. The AI will generate a complete profile with appropriate tags.
• Manual Creation: Toggle AI generation off to create a blank template you can edit yourself.
• Auto-naming: Leave the filename field empty to auto-generate one from the name. If a file already exists, a number will be appended automatically.

Gallery Management

• Rescan: Use the "Rescan" buttons if you've added new JSON files or manually edited them.
• Save Defaults: On any detail page, select your favorite prompt combination and click "Save as Default Selection" to remember it for future generations.

Generation

• Preview: Generates an image and shows it to you without replacing your current cover.
• Replace: Generates an image and sets it as the item's official gallery cover.
• Clean Start: If you want to wipe the database and all generated images to start fresh:

  ./launch.sh --clean
  

File Structure

• /data/characters: Character JSON files.
• /data/clothing: Outfit preset JSON files.
• /data/actions: Action/Pose preset JSON files.
• /data/styles: Art style / artist LoRA JSON files.
• /data/scenes: Scene/background LoRA JSON files.
• /data/detailers: Detailer LoRA JSON files.
• /data/checkpoints: Per-checkpoint metadata JSON files (steps, CFG, sampler, VAE, base prompts).
• /data/prompts: LLM system prompts used by the AI-assisted bulk creation features.
• /static/uploads: Generated images (organized by subfolders).
• app.py: Flask backend and prompt-building logic.
• comfy_workflow.json: The API-format workflow used for generations.
• models.py: SQLAlchemy database models.
• DEVELOPMENT_GUIDE.md: Architectural patterns for extending the browser.