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Streamline image preprocessing for AI art with configurable settings for cropping, padding, and interpolation, enhancing image quality and control.
The Image Prepare Pipe (JPS) node is designed to streamline the preprocessing of images for various AI art applications. This node allows you to configure essential image preparation settings such as cropping, padding, and interpolation, ensuring that your images are optimally prepared for further processing. By providing a comprehensive set of parameters, the node helps you achieve precise control over the image dimensions and quality, enhancing the overall output of your AI art projects. The main goal of this node is to simplify the image preparation process, making it accessible even to those without a deep technical background.
This parameter is a tuple containing various settings required for image preparation. It includes values for offset width and height, crop dimensions, padding dimensions, interpolation method, and sharpening level. Each of these settings plays a crucial role in determining how the image is processed. For example, cropping and padding settings allow you to adjust the image dimensions, while the interpolation method affects the quality of resized images. The sharpening level controls the clarity of the image. This comprehensive set of settings ensures that you can fine-tune the image preparation process to meet your specific needs.
This output parameter represents the horizontal offset applied to the image. It is crucial for aligning the image correctly within the desired frame.
This output parameter represents the vertical offset applied to the image. It ensures that the image is aligned correctly within the desired frame.
This output parameter indicates the number of pixels cropped from the left side of the image. It helps in focusing on the desired part of the image.
This output parameter indicates the number of pixels cropped from the right side of the image. It helps in focusing on the desired part of the image.
This output parameter indicates the number of pixels cropped from the top of the image. It helps in focusing on the desired part of the image.
This output parameter indicates the number of pixels cropped from the bottom of the image. It helps in focusing on the desired part of the image.
This output parameter represents the number of pixels added as padding to the left side of the image. It is useful for adjusting the image dimensions.
This output parameter represents the number of pixels added as padding to the right side of the image. It is useful for adjusting the image dimensions.
This output parameter represents the number of pixels added as padding to the top of the image. It is useful for adjusting the image dimensions.
This output parameter represents the number of pixels added as padding to the bottom of the image. It is useful for adjusting the image dimensions.
This output parameter specifies the interpolation method used for resizing the image. Options include "lanczos", "nearest", "bilinear", "bicubic", "area", and "nearest-exact". The choice of interpolation method affects the quality of the resized image.
This output parameter indicates the level of sharpening applied to the image. It controls the clarity and detail of the image.
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