ComfyUI-AutoSplitGridImage is a custom node for ComfyUI that provides intelligent image splitting functionality. It combines edge detection for column splits and uniform division for row splits, offering a balanced approach to grid-based image segmentation.

Features

Intelligent column splitting using edge detection
Uniform row splitting for consistent horizontal divisions
Customizable number of rows and columns
Preview image with grid lines
Outputs both the preview image and individual grid cells

Installation

Clone this repository into your ComfyUI custom_nodes directory:

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

Restart ComfyUI or reload custom nodes.

Usage

In the ComfyUI interface, find the "GridImageSplitter" node under the "image/processing" category.
Connect an image output to the "image" input of the GridImageSplitter node.
Set the desired number of rows and columns.
The node will output two images:
- A preview image showing the grid lines
- A tensor containing all the split image cells

Parameters

image: Input image to be split
rows: Number of rows to split the image into (default: 2, range: 1-10)
cols: Number of columns to split the image into (default: 3, range: 1-10)

How It Works

Column Splitting: Uses edge detection to find natural splitting points in the image.
Row Splitting: Applies uniform division for consistent horizontal splits.

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.

Acknowledgements

This project is designed to work with ComfyUI.
Edge detection is implemented using OpenCV.