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Efficiently flip images horizontally or vertically for AI artists, creating mirror effects and adjusting orientations.
The JWImageFlip node is designed to flip images either horizontally or vertically, providing a simple yet powerful tool for image manipulation. This node is particularly useful for AI artists who need to quickly adjust the orientation of their images without delving into complex image editing software. By flipping images, you can create mirror effects, correct image orientations, or simply explore different visual perspectives. The node leverages efficient tensor operations to ensure that the image flipping process is both fast and reliable, making it an essential component in your image processing workflow.
The image
parameter expects an image tensor as input. This tensor represents the image you wish to flip. The image should be in the form of a 4D tensor, typically with dimensions corresponding to batch size, height, width, and channels. This parameter is crucial as it provides the raw data that the node will manipulate.
The direction
parameter determines the axis along which the image will be flipped. It accepts two options: "horizontal" and "vertical". The default value is "horizontal". Choosing "horizontal" will flip the image along the vertical axis, creating a mirror image from left to right. Conversely, selecting "vertical" will flip the image along the horizontal axis, creating a mirror image from top to bottom. This parameter allows you to control the specific type of flip operation applied to the image.
The output parameter image
is the flipped version of the input image tensor. This tensor retains the same dimensions as the input but with the pixel values rearranged according to the specified flip direction. The output image can be used directly in subsequent nodes or saved for later use, providing a flexible and efficient way to manipulate image orientation.
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