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Facilitates grid image creation, supports annotations, customizable appearance for visual analysis and presentation.
The D2 XY Grid Image node is designed to facilitate the creation of grid images by arranging multiple images in a structured format, allowing for easy comparison and visualization. This node is particularly useful for AI artists who want to explore variations of generated images by organizing them in a grid format based on different parameters. The node supports annotations along the X and Y axes, which can be used to label the grid with relevant information, enhancing the interpretability of the visual data. By providing options to customize the grid's appearance, such as font size, grid gap, and dimension swapping, the D2 XY Grid Image node offers flexibility and control over the final output, making it a valuable tool for visual analysis and presentation.
This parameter accepts a batch of images that will be arranged into a grid. The images are the core content of the grid, and their arrangement is determined by other parameters. There are no specific minimum or maximum values for this parameter, but the quality and number of images will directly impact the grid's appearance.
This integer parameter determines the size of the font used for annotations on the grid. The default value is 24, and it can be adjusted to ensure that the text is legible and appropriately sized relative to the images.
This integer parameter specifies the gap between images in the grid. The default value is 0, meaning no gap, but it can be increased to create space between images, which can help in distinguishing them more clearly.
This boolean parameter, with a default value of False, allows you to swap the X and Y dimensions of the grid. This can be useful if you want to change the orientation of the grid to better fit the display or presentation context.
This boolean parameter, defaulting to True, determines whether only the grid image is returned or if additional processing is performed. When set to True, the node focuses solely on generating the grid image.
This boolean parameter, with a default value of True, controls whether annotations are drawn along the X-axis. Enabling this option helps in identifying the parameters or conditions represented by each column in the grid.
Similar to draw_x_label, this boolean parameter, defaulting to True, controls the drawing of annotations along the Y-axis. It aids in understanding the parameters or conditions represented by each row in the grid.
This optional parameter accepts annotations for the X-axis, providing context or labels for each column in the grid. It enhances the interpretability of the grid by indicating what each column represents.
This optional parameter accepts annotations for the Y-axis, offering context or labels for each row in the grid. It helps in understanding the variations or conditions represented by each row.
This string parameter, which must be provided, indicates the current status of the grid creation process. It helps in managing the flow of image processing and grid generation.
This parameter is a pipeline object that carries additional information and annotations for the grid. It is essential for integrating the grid creation process with other nodes or workflows.
The output is a single grid image that combines all the input images into a structured format. This grid image is the final visual representation, allowing for easy comparison and analysis of the input images based on the specified annotations and parameters.
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