Image Grid Composite 2x2(ImageGridComposite2x2)

The Image Grid Composite 2x2 node technically uses PyTorch tensor operations to achieve the stitching.

The Image Grid Composite 2x2 node is an image processing tool whose core function is to stitch four independent input images into a single 2x2 grid image. Through simple arrangement and combination, it integrates multiple pictures into one, facilitating overall preview or subsequent processing.

Node Function

This node technically uses PyTorch tensor operations to achieve the stitching. It first concatenates the first and second images horizontally (along the width dimension) to form the top row; then concatenates the third and fourth images similarly horizontally to form the bottom row; finally, it concatenates these two rows vertically (along the height dimension) to generate the final 2x2 grid image. This process requires all input images to have the same height and width; otherwise, the stitching operation will fail.

Node Parameter Description - Image Grid Composite 2x2

Inputs

Output

Usage Scenarios

In practical applications, this node is commonly used in scenarios requiring side-by-side comparison of multiple image results. For example, in a Generative Adversarial Network (GAN) workflow, you can connect images generated from different random seeds, results from different sampling steps, or outputs from different model variants to the four input ports, allowing for an intuitive comparison of their differences in a single image.

Notes

Please note that this node does not perform scaling or cropping on the images. If the four input images have inconsistent dimensions, the node will not function properly and may report an error. Ensuring that all input images have exactly the same resolution is a prerequisite for using this node.

Image Grid Composite 2x2 Node Source Code Link

The Image Grid Composite 2x2 node is from the ComfyUI-KJNodes node package.