ComfyUI-AutoSplitGridImage is a custom node for ComfyUI that provides flexible image splitting functionality. It allows users to choose between edge detection and uniform division for both row and column splits, offering a customizable approach to grid-based image segmentation.
- Customizable splitting methods for both rows and columns
- Choice between edge detection and uniform division for each axis
- Adjustable number of rows and columns
- Preview image with grid lines
- Outputs both the preview image and individual grid cells
- Clone this repository into your ComfyUI
custom_nodesdirectory:cd /path/to/ComfyUI/custom_nodes git clone https://github.com/yourusername/ComfyUI-AutoSplitGridImage.git - Restart ComfyUI or reload custom nodes.
- 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.
- Choose the splitting method for rows and columns (uniform or edge detection).
- The node will output two images:
- A preview image showing the grid lines
- A tensor containing all the split image cells
image: Input image to be splitrows: 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)row_split_method: Method to split rows ("uniform" or "edge_detection")col_split_method: Method to split columns ("uniform" or "edge_detection")
- Uniform Splitting: Divides the image into equal parts along the specified axis.
- Edge Detection Splitting: Uses OpenCV's Canny edge detection to find natural splitting points in the image.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the Apache License 2.0 License - see the LICENSE file for details.
- This project is designed to work with ComfyUI.
- Edge detection is implemented using OpenCV.