ComfyUI_prelife

ComfyUI_prelife

A collection of custom nodes for ComfyUI focused on image analysis and preprocessing, built with the modern V3 API.

Version

Current version: 0.2.0 (V3 API)

Features

• ✅ Modern V3 API implementation
• ✅ Type-safe node definitions with schema validation
• ✅ Batch processing support
• ✅ Input validation
• ✅ Comprehensive documentation and tooltips

Installation

Manual Installation

1. Clone this repository into your ComfyUI custom_nodes directory:

   cd ComfyUI/custom_nodes
   git clone https://github.com/prelife/ComfyUI_prelife.git
   

2. Install dependencies:

   pip install -e ComfyUI/custom_nodes/ComfyUI_prelife
   

3. Restart ComfyUI

Using Comfy CLI

comfy node install ComfyUI_prelife

Nodes

ImageSizeAnalyzer

Analyzes image dimensions and returns the longer and shorter side sizes for each image in a batch.

• Category: prelife/analysis
• Inputs:
  • image (IMAGE): Input image tensor with shape [B, H, W, C]
• Outputs:
  • longer_side (INT): The longer dimension (max of height and width) for each image in the batch
  • shorter_side (INT): The shorter dimension (min of height and width) for each image in the batch

Example Usage

The node processes images in batches and returns a list of dimensions:

# Input: image tensor with shape [2, 512, 768, 3] (batch of 2 images)
# Output: 
#   longer_side: [768, 768]
#   shorter_side: [512, 512]

Requirements

• Python >= 3.10
• ComfyUI (with V3 API support)
• torch >= 2.0.0
• numpy >= 1.20.0

Development

This project uses the modern ComfyUI V3 API for node development. Key features:

• Schema-based node definitions using io.Schema
• Type-safe inputs and outputs
• Built-in input validation via validate_inputs()
• Proper batch processing support

See doc/for_llm.md for detailed development guidelines.

This project follows semantic versioning. See CHANGELOG.md for version history.

License

MIT License

Contributing

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