HommageTools for ComfyUI

A comprehensive collection of utility nodes for ComfyUI that enhance your workflow with advanced text processing, image manipulation, and workflow control capabilities.

🚀 Features

Text Processing

• Regex Parser: Parse text using regular expressions
• Parameter Extractor: Extract labeled parameters from text strings
• Text Cleanup: Comprehensive text cleanup with configurable rules

Image Processing

• Smart Resize: Intelligent image resizing with aspect ratio preservation
• Resolution Recommender: Get optimal resolution suggestions for your workflow
• Levels Correction: Advanced image levels adjustment with reference matching
• Training Size Calculator: Calculate optimal dimensions for ML training
• Base Shift Calculator: Compute base shift values for images

Workflow Control

• Type Converter: Flexible type conversion between string, integer, and float
• Switch Node: Simple workflow control mechanisms
• Layer Management: Create and export layered images in PSD/TIFF formats

🛠️ Installation

1. Navigate to your ComfyUI custom nodes directory:

   cd ComfyUI/custom_nodes

2. Clone this repository:

   git clone https://github.com/ArtHommage/HommageTools.git

3. Install requirements:

   cd HommageTools
   pip install -r requirements.txt

4. Restart ComfyUI

📖 Node Documentation

Regex Parser (HTRegexNode)

Process text using regular expressions

• Inputs:
  • Input Text: Text to be parsed
  • Regex Pattern: The regular expression pattern
• Outputs:
  • Parsed Text: Result of the regex operation

Smart Resize (HTResizeNode)

Intelligently resize images while maintaining aspect ratios

• Features:
  • Multiple interpolation methods
  • Smart scaling options
  • Proper handling of both images and latents
  • Various cropping and padding options

Resolution Recommender (HTResolutionNode)

Get optimal resolution suggestions based on various quality priorities

• Features:
  • Standard and custom resolution lists
  • Quality-based recommendations
  • Aspect ratio preservation
  • Detailed dimension analysis

[Documentation for other nodes follows similar pattern...]

🔧 Usage Examples

Basic Text Processing

# Example workflow using the Regex Parser
regex_node = HTRegexNode()
result = regex_node.parse_text(
    input_text="Sample text 123", 
    regex_pattern="\d+"
)

Image Resizing

# Example of smart image resizing
resize_node = HTResizeNode()
result = resize_node.resize_media(
    divisible_by="8",
    interpolation="bicubic",
    scaling_mode="short_side",
    crop_or_pad_mode="center",
    image=your_image_tensor
)

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Thanks to the ComfyUI community for their support and feedback
• Special thanks to all contributors who have helped improve this toolkit