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Merge image tiles seamlessly for continuous final image appearance without visible seams, ideal for large image processing tasks.
DynamicTileMerge is a powerful node designed to seamlessly merge image tiles back into a single cohesive image. This node is particularly useful when working with large images that have been split into smaller tiles for processing, such as in AI art generation or image manipulation tasks. The primary benefit of DynamicTileMerge is its ability to handle overlapping regions between tiles, ensuring smooth transitions and avoiding visible seams. By dynamically blending the borders of adjacent tiles, it creates a final image that appears continuous and natural. This node is essential for artists and developers who need to process large images in smaller sections without compromising the quality of the final output.
This parameter represents the collection of image tiles that need to be merged. Each tile is a smaller section of the original image, and they are processed to form a single, unified image. The quality and accuracy of the final merged image depend on the correct arrangement and blending of these tiles.
The blend parameter controls the width of the border region where adjacent tiles are blended together. This blending helps to smooth out any seams or edges between tiles, ensuring a seamless final image. The value of blend determines how gradual the transition between tiles will be, with higher values resulting in a smoother blend. Typical values range from 0 to a few pixels, depending on the desired smoothness.
This parameter provides essential information about the tiling configuration, including overlap, final image dimensions, and offset. It is used to accurately position and merge the tiles back into the original image layout. The tile_calc parameter ensures that the tiles are correctly aligned and that any overlapping regions are properly handled during the merging process.
The output parameter is the final merged image, which is a single, cohesive image created by blending the input tiles. This image retains the original dimensions and quality, with smooth transitions between the tiles, thanks to the blending process. The output is ready for further processing or final use in your projects.
The count parameter is a tensor that keeps track of the number of times each pixel has been processed during the merging. This is particularly useful for ensuring that the blending process is applied correctly and that no pixel is left unprocessed. It helps in maintaining the integrity and quality of the final merged image.
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