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Combine multiple images into a single, horizontally aligned image efficiently using PyTorch.
The Bjornulf_MergeImagesHorizontally
node is designed to seamlessly combine multiple images into a single, horizontally aligned image. This node is particularly useful for AI artists who wish to create panoramic views or composite images by placing images side by side. By leveraging the power of PyTorch, this node efficiently handles image data, ensuring that the resulting composite image maintains high quality and consistency. The node is capable of merging up to four images, automatically adjusting the total width and aligning the images based on their heights. This functionality is essential for creating visually appealing and coherent image compositions without the need for manual adjustments.
image1
is the first required input image for the merging process. It serves as the starting point for the horizontal composition. The quality and dimensions of this image will influence the overall appearance of the final merged image. There are no specific minimum or maximum values, but the image should be in a compatible format and resolution for optimal results.
image2
is the second required input image that will be placed next to image1
in the horizontal composition. Like image1
, its dimensions and quality will affect the final output. It should be in a compatible format and resolution to ensure a seamless merge.
image3
is an optional input parameter that allows you to add a third image to the horizontal composition. If provided, this image will be placed next to image2
. This parameter offers flexibility in creating more complex compositions by adding additional visual elements.
image4
is another optional input parameter for adding a fourth image to the composition. If used, this image will be placed next to image3
, further extending the horizontal panorama. This parameter is useful for creating extensive image sequences or storytelling visuals.
The output parameter is a single composite image that results from merging the input images horizontally. This image retains the original quality and color depth of the input images, ensuring that the final product is suitable for further artistic manipulation or presentation. The output image's width is the sum of the widths of the input images, while its height is determined by the tallest input image, ensuring a consistent and visually appealing result.
image3
and image4
parameters to create more complex compositions, such as storytelling sequences or panoramic views.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.