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Seamlessly integrate cropped images back into original backgrounds for natural compositions.
The LayerUtility: RestoreCropBox node is designed to seamlessly integrate a cropped image back into its original background, ensuring that the final composition appears natural and cohesive. This node is particularly useful for AI artists who need to manipulate specific regions of an image and then restore them without losing the context of the original background. By using this node, you can efficiently handle tasks such as image editing, compositing, and masking, making it easier to achieve professional-quality results. The node takes into account various parameters such as the crop box dimensions and optional masks, allowing for precise control over the restoration process.
The background_image
parameter is the original image from which a portion was cropped. This image serves as the canvas onto which the cropped image will be restored. It is essential for maintaining the context and continuity of the final composition. The parameter expects an image input.
The croped_image
parameter is the image that was previously cropped from the background_image
. This image will be placed back into its original position within the background. The parameter expects an image input.
The invert_mask
parameter is a boolean that determines whether the mask should be inverted during the restoration process. If set to True
, the mask will be inverted, which can be useful for certain compositing techniques. The default value is False
.
The crop_box
parameter defines the dimensions and position of the cropped area within the background_image
. It is specified as a box with coordinates and dimensions, ensuring that the cropped image is accurately placed back into its original location. The parameter expects a box input.
The croped_mask
parameter is an optional mask that can be applied to the croped_image
during the restoration process. This mask allows for more refined control over the blending and integration of the cropped image with the background. The parameter expects a mask input.
The image
output parameter is the final composite image that results from restoring the croped_image
back into the background_image
. This image reflects the seamless integration of the cropped portion with the original background, maintaining the overall visual coherence.
The mask
output parameter is the resulting mask after the restoration process. This mask can be used for further image processing or compositing tasks, providing additional flexibility and control over the final output.
crop_box
dimensions accurately match the area from which the croped_image
was taken to achieve a seamless restoration.invert_mask
parameter to experiment with different blending effects, especially when dealing with complex backgrounds or intricate details.croped_mask
parameter to refine the integration of the cropped image with the background.crop_box
parameter do not match the actual dimensions of the croped_image
.crop_box
to ensure they accurately reflect the area from which the image was cropped.background_image
parameter is missing or not correctly specified.background_image
parameter to serve as the canvas for restoration.croped_image
parameter is missing or not correctly specified.croped_image
parameter to be restored into the background.invert_mask
parameter.invert_mask
parameter to see if the issue persists.© Copyright 2024 RunComfy. All Rights Reserved.