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Facilitates creation of tile layout from images for AI artists to process large images efficiently on a per-tile basis.
The ETN_TileLayout node is designed to facilitate the creation of a tile layout from a given image. This node is particularly useful for AI artists who need to process large images by breaking them down into smaller, more manageable tiles. By defining a tile layout, you can efficiently handle image processing tasks such as editing, masking, and blending on a per-tile basis. The primary goal of this node is to streamline the workflow of working with large images by providing a structured approach to tiling, which can significantly enhance performance and manageability.
The image
parameter is the input image that you want to create a tile layout from. This image will be divided into smaller tiles based on the specified tile size, padding, and blending settings. The quality and resolution of the input image will directly impact the resulting tile layout.
The min_tile_size
parameter defines the minimum size of each tile in the layout. This value ensures that each tile is at least as large as the specified size, which can help maintain a balance between the number of tiles and the processing load. The minimum value is 64, the maximum is 8192, and the default is 512. Adjusting this parameter can help optimize performance based on the specific requirements of your project.
The padding
parameter specifies the amount of padding to be added around each tile. Padding can help prevent artifacts at the edges of tiles when processing or blending them. The minimum value is 0, the maximum is 8192, and the default is 32. Proper padding can ensure smoother transitions between tiles and improve the overall quality of the processed image.
The blending
parameter determines the amount of blending applied between adjacent tiles. Blending helps to create seamless transitions and reduce visible seams between tiles. The minimum value is 0, the maximum is 256, and the default is 8. Adjusting the blending parameter can enhance the visual coherence of the tiled image, especially when performing operations that affect tile boundaries.
The TILE_LAYOUT
output parameter represents the generated tile layout from the input image. This layout contains information about the size, position, and count of tiles, as well as the specified padding and blending settings. The TILE_LAYOUT
can be used as an input for other nodes that perform operations on individual tiles, such as extracting, merging, or generating masks for specific tiles. This output is essential for managing and processing large images in a structured and efficient manner.
min_tile_size
that balances the number of tiles and the processing load. Larger tiles may reduce the number of tiles but increase the processing time for each tile.padding
to prevent artifacts at the edges of tiles, especially when performing operations that affect tile boundaries.blending
parameter to ensure smooth transitions between tiles, which is particularly important for operations that modify the appearance of the image.{index}
out of rangeTILE_LAYOUT
before specifying the index.© Copyright 2024 RunComfy. All Rights Reserved.