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Seamlessly integrate cropped images back into original context for precise image editing and reintegration.
The FC CropToOrigin
node is designed to seamlessly integrate a cropped image back into its original context. This node is particularly useful for AI artists who need to manipulate specific regions of an image, such as faces, and then accurately place the modified region back into the original image. By leveraging advanced image processing techniques, FC CropToOrigin
ensures that the pasted region blends naturally with the surrounding pixels, maintaining the visual coherence of the image. This node is essential for tasks that require precise image editing and reintegration, such as face swapping or localized image enhancements.
The origin_image
parameter represents the original image from which a region was cropped. This image serves as the base onto which the modified region will be pasted back. It is crucial for maintaining the context and ensuring that the final output looks natural.
The origin_box
parameter defines the coordinates of the region that was originally cropped from the origin_image
. It is a tuple of four integers representing the top-left and bottom-right corners of the bounding box. This parameter is essential for accurately positioning the cropped region back into its original location.
The origin_mask
parameter is a mask that indicates the area of interest within the origin_image
. It helps in blending the pasted region with the original image by defining which pixels should be affected. This mask ensures that the integration is smooth and visually coherent.
The paste_image
parameter is the modified image that needs to be pasted back into the origin_image
. This image should correspond to the region defined by the origin_box
and will be resized and adjusted to fit seamlessly into the original context.
The result_image
parameter is the final output image with the paste_image
integrated back into the origin_image
. This image maintains the visual coherence of the original while incorporating the modifications made to the cropped region. It is returned as a tensor for further processing or display.
origin_box
accurately represents the region that was cropped from the origin_image
to avoid misalignment when pasting the paste_image
.origin_mask
to achieve smooth blending between the paste_image
and the origin_image
, especially when dealing with complex backgrounds or textures.paste_image
, maintain the aspect ratio to prevent distortion and ensure a natural fit within the origin_box
.origin_box
are out of bounds or incorrectly formatted.origin_box
coordinates are within the dimensions of the origin_image
and are provided as a tuple of four integers.paste_image
does not match the expected dimensions based on the origin_box
.paste_image
is correctly resized to fit within the origin_box
dimensions before passing it to the node.origin_mask
is not in the correct format or dimensions.origin_mask
is a binary mask with the same dimensions as the origin_image
and correctly defines the area of interest.© Copyright 2024 RunComfy. All Rights Reserved.