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Specialized node for managing and processing image batches in grid format, aiding AI artists in organizing and visualizing image sets efficiently.
The XY Grid Accumulator is a specialized node designed to manage and process batches of images in a grid format, facilitating the creation of annotated image grids. This node is particularly useful for AI artists who need to organize and visualize large sets of images systematically. By accumulating images and arranging them into grids with customizable annotations, the XY Grid Accumulator helps streamline the workflow, making it easier to analyze and present image data. The node's primary function is to collect images, process them into a specified grid layout, and annotate the grid with row and column labels, enhancing the clarity and utility of the visual output.
This parameter represents the batch of images to be processed and accumulated into the grid. The images are combined with any previously accumulated images to form a complete set for the grid.
This control parameter is a tuple containing several settings that dictate how the grid is constructed and annotated. It includes the count of images to display, a reset flag, row and column texts for annotations, the maximum number of columns in the grid, the font size for annotations, and the gap between grid cells. These settings allow for detailed customization of the grid's appearance and structure.
A unique identifier for the current batch of images. This ID helps manage and track the accumulation process, ensuring that images are correctly grouped and processed.
The primary output of the node, which includes the final grid of images arranged according to the specified parameters. This output is ready for further use or display, providing a visually organized and annotated set of images.
This output provides a preview of the processed images, allowing you to see a snapshot of the accumulated images before finalizing the grid. It helps in verifying the arrangement and annotations.
An additional output that includes the finalized graph structure used to create the grid. This can be useful for further customization or integration into larger workflows.
xy_grid_control
parameters are set correctly to match the desired grid layout and annotation style. Adjust the max_columns
and grid_gap
to optimize the visual presentation.unique_id
to manage different batches of images effectively, preventing mix-ups and ensuring that each grid is correctly formed.ui
output to verify the arrangement and annotations before finalizing the grid. This can save time and help catch any issues early.images
parameter is correctly populated with the images you want to accumulate. Check the source of the images to confirm they are being passed to the node.xy_grid_control
tuple are incorrect or out of range.xy_grid_control
tuple are correctly set. Ensure that the count, reset flag, row and column texts, max columns, font size, and grid gap are within acceptable ranges and correctly formatted.unique_id
provided is not unique, causing a conflict in the accumulation process.unique_id
is distinct for each accumulation session.© Copyright 2024 RunComfy. All Rights Reserved.