Wizdroid Character Nodes for ComfyUI

A comprehensive collection of custom nodes for ComfyUI that provide AI-powered prompt generation tools using Ollama. These nodes help create detailed, professional prompts for text-to-image generation across various domains including character creation, fashion, fantasy scenes, and image analysis.

Features

Character Prompt Builder

• Purpose: Generates detailed character prompts for image generation with extensive customization options
• Attributes: Gender, age group, body type, hair color/style, eye color, facial expressions, poses, makeup, fashion styles, and backgrounds
• Integration: Ollama LLM integration for intelligent prompt crafting
• Output: Positive prompt, negative prompt, and follow-up questions for refinement

Fantasy Scene Builder

• Purpose: Creates atmospheric fantasy and horror scene prompts
• Elements: Fantasy themes, subjects, environments, lighting, visual styles, textures, compositions, and special effects
• Integration: Ollama LLM for generating vivid, immersive scene descriptions
• Output: Scene prompt and negative prompt

Upcycled Fashion Node

• Purpose: Generates professional prompts for sustainable fashion featuring everyday objects transformed into glamorous designer wear
• Materials: 50+ upcycled materials including plastic bags, bubble wrap, tarpaulin, garbage bags, latex, and more
• Integration: Ollama LLM for creative upcycling prompt generation
• Output: High-fashion photography prompts showcasing sustainable design innovation

Fashion Supermodel Node

• Purpose: Generates professional fashion photography prompts featuring contemporary fashion styles from countries or regions
• Features: 28 glamour enhancement options, choice between specific countries or broader regional areas (with "none" option)
• Integration: Ollama LLM for modern location-inspired fashion prompt creation
• Output: Detailed fashion photography prompt with location-specific style focus

Photo Aspect Extractor

• Purpose: Analyzes images using vision models to extract specific aspects
• Modes: Clothes, pose, style, background, expression, lighting, hair, makeup, accessories, camera settings, composition, color palette
• Integration: Ollama vision models (LLaVA, Florence, etc.) for image analysis
• Output: Extracted aspect descriptions for prompt engineering

Pose Extraction Node

• Purpose: Extracts detailed pose descriptions from character images
• Features: Analyzes body position, stance, gestures, camera angles, and framing
• Integration: Ollama vision models for precise pose analysis
• Output: Pose-focused prompts for consistent character positioning

Installation

1. Clone this repository into your ComfyUI custom_nodes directory:

   cd /path/to/ComfyUI/custom_nodes
   git clone https://github.com/yourusername/wizdroid-character.git
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Ensure Ollama is running with appropriate models:

   • For text generation: Install models like llama2, mistral, or codellama
   • For vision analysis: Install vision models like llava, bakllava, or florence

Configuration

The nodes use JSON configuration files in the data/ directory:

• character_options.json: Character attributes and options
• countries.json: Specific countries for fashion inspiration
• regions.json: Broader regional areas for fashion inspiration
• fantasy_options.json: Fantasy scene elements
• prompt_styles.json: Output format styles for different AI models
• glamour_options.json: Glamour enhancement styles
• upcycled_materials.json: Everyday materials for upcycled fashion
• followup_questions.json: Refinement questions for prompts

Usage

After installation, the nodes will appear in ComfyUI under the "Wizdroid/character" and "Wizdroid/fantasy" categories.

Common Workflow

1. Use Character Prompt Builder or Fashion Supermodel Node to generate base prompts
2. Use Photo Aspect Extractor or Pose Extraction Node to analyze reference images
3. Combine extracted elements with generated prompts for refined results
4. Use Fantasy Scene Builder for atmospheric scene creation

Requirements

• ComfyUI
• Ollama server running locally
• Python packages: requests, torch, PIL (Pillow)
• For vision features: Ollama vision models

Contributing

Feel free to contribute by:

• Adding more cultural outfits and countries
• Expanding attribute options in JSON files
• Improving prompt generation logic
• Adding new node types
• Enhancing vision model integrations

License

[Add your license here]