ComfyUI Extension: ComfyUI Outfit Nodes
Advanced, professional outfit and makeup generation nodes for ComfyUI, with dynamic UI and AI-powered prompt formatting.
Custom Nodes (0)
README
ComfyUI Outfit Selection
A comprehensive outfit generation system for ComfyUI with AI-powered prompt enhancement and dynamic outfit composition.
🎯 Features
👗 Dynamic Outfit Generation
- Female & Male Outfit Nodes: Generate complete outfits with randomization
- Extensive Customization: 20+ outfit categories (torso, legs, feet, accessories, etc.)
- Smart Randomization: Intelligent random selection with seed control
- JSON-Based Data: Easily customizable outfit options via JSON files
🤖 AI-Powered Prompt Enhancement
- Ollama LLM Integration: Enhance prompts with local AI models
- Vision Node Support: Describe images using vision-language models
- Flexible Styling: Multiple prompt styles and creative modes
- Professional Quality: Production-ready prompt generation
🎨 Advanced Customization
- Seed Management: Fixed, random, increment, and decrement modes
- Style Controls: Art styles, lighting, cameras, and more
- Background Options: Diverse scene and environment settings
- Age & Demographics: Comprehensive character customization
📦 Installation
Method 1: Git Clone (Recommended)
cd ComfyUI/custom_nodes/
git clone https://github.com/manifestations/comfyui-outfit.git
Method 2: Manual Download
- Download the latest release from the Releases page
- Extract to
ComfyUI/custom_nodes/comfyui-outfit/
Method 3: ComfyUI Manager
- Open ComfyUI Manager
- Search for "ComfyUI Outfit Selection"
- Click Install
🚀 Quick Start
Basic Usage
- Start ComfyUI
- Look for nodes under 👗 Outfit category:
- Female Outfit Node: Generate female outfits
- Male Outfit Node: Generate male outfits
- Ollama Prompter: Enhance prompts with AI
- Simple Ollama: Basic prompt enhancement
Example Workflow
[Female Outfit Node] → [Text Output] → [Your Image Generation Model]
📋 Requirements
Core Requirements
- ComfyUI (latest version)
- Python 3.8+
Optional Dependencies
For AI prompt enhancement features:
pip install requests pillow numpy torch
For vision node support:
# Install Ollama locally
# Download vision models (llava, moondream, etc.)
License
MIT License. See LICENSE.