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Create composite images by arranging multiple images in a grid format for clear and organized presentation.
The PlotImages
node is designed to help you create a composite image by arranging multiple images in a grid format. This node is particularly useful for visualizing a series of images in a structured manner, making it easier to compare and analyze them side by side. By specifying the positions of each image within the grid, you can control the layout and ensure that the final composite image meets your specific requirements. This node is ideal for tasks that require a clear and organized presentation of multiple images, such as creating image galleries, visual reports, or comparison charts.
This parameter takes a list of images that you want to arrange in a grid. Each image should be in a compatible format and size to ensure a seamless composition. The images are the primary content that will be plotted in the grid.
This parameter specifies the x-coordinates (horizontal positions) for each image in the grid. If the number of x-coordinates provided is less than the number of images, the last x-coordinate will be repeated to fill the remaining positions. This allows you to control the horizontal placement of each image within the grid.
This parameter specifies the y-coordinates (vertical positions) for each image in the grid. Similar to x_pos
, if the number of y-coordinates provided is less than the number of images, the last y-coordinate will be repeated. This allows you to control the vertical placement of each image within the grid.
This boolean parameter determines whether all dimensions should be padded before concatenation. If set to True
, both dimensions will be padded, ensuring that all images fit within the grid. If set to False
, only the necessary dimensions will be padded. The default value is False
.
The output is a single composite image that combines all the input images arranged according to the specified x and y positions. This composite image is returned as a tensor, which can be further processed or saved as needed. The final image provides a clear and organized visualization of the input images in a grid format.
x_pos
and y_pos
parameters to control the exact placement of each image within the grid for a customized layout.force_all
parameter to manage padding and ensure all images fit within the grid.max_image_size
value in the config.yaml
file if necessary.© Copyright 2024 RunComfy. All Rights Reserved.