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Tile input image into grid for pattern creation and visualization with control over layout and density.
The Repeat Into Grid (image) node is designed to tile an input image into a grid of specified dimensions, allowing you to create a larger composite image composed of repeated instances of the original image. This can be particularly useful for creating patterns, textures, or simply visualizing how an image would look when repeated across a larger canvas. By configuring the number of columns and rows, you can control the layout and density of the tiled image, making it a versatile tool for various artistic and design purposes.
This parameter accepts the input image that you want to tile into a grid. The image should be in a format recognized by the node, typically a tensor representation of the image data. The input image serves as the base unit that will be repeated across the grid.
This parameter specifies the number of columns in the grid. It determines how many times the input image will be repeated horizontally. The value should be an integer, with a minimum value of 1. Increasing the number of columns will result in a wider grid.
This parameter specifies the number of rows in the grid. It determines how many times the input image will be repeated vertically. The value should be an integer, with a minimum value of 1. Increasing the number of rows will result in a taller grid.
The output is a single image that is the result of tiling the input image into the specified grid dimensions. This composite image will have the input image repeated in a grid pattern, with the number of repetitions determined by the columns and rows parameters. The output image retains the original image's properties but is expanded to fit the grid layout.
ValueError: Input image is not in the correct format
IndexError: Columns or rows value is out of range
RuntimeError: Image dimensions do not match the grid configuration
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