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Versatile node for creating visually appealing image grids with customizable borders and outlines, ideal for AI artists.
The CR Image Grid Panel is a versatile node designed to help you create visually appealing grids of images with customizable borders and outlines. This node is particularly useful for AI artists who want to present multiple images in a structured and aesthetically pleasing manner. By arranging images into a grid format, you can easily compare and showcase your work. The node allows you to specify the thickness and color of borders and outlines, as well as the maximum number of columns in the grid, providing you with a high degree of control over the final appearance of your image grid.
This parameter accepts a list of images that you want to arrange into a grid. Each image will be processed to include borders and outlines as specified by the other parameters.
This parameter defines the thickness of the border around each image in the grid. The value is an integer, with a default value of 0, and it can be adjusted to create a more pronounced or subtle border effect.
This parameter specifies the color of the border around each image. You can provide a color name or a tuple representing the RGB values. The default color is black.
This parameter sets the thickness of the outline around each image. Similar to the border_thickness, it is an integer value with a default of 0, allowing you to create an additional layer of separation between images.
This parameter determines the color of the outline around each image. You can specify a color name or an RGB tuple. The default color is black.
This parameter defines the maximum number of columns in the grid. It is an integer value that helps you control the layout of the grid, ensuring that the images are arranged in a balanced and visually appealing manner.
This optional parameter allows you to specify the border color using a hexadecimal color code. The default value is #000000
(black). This provides an alternative way to set the border color if you prefer using hex codes.
This output parameter returns the final image grid as a tensor. The grid includes all the input images arranged according to the specified parameters, with borders and outlines applied as defined.
This output parameter provides a URL to the documentation for the CR Image Grid Panel. It is a helpful resource for users who want to learn more about the node and its capabilities.
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