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Efficiently crop images in pipeline for AI artists with various positions and interpolation methods.
The Crop Image Pipe (JPS) node is designed to facilitate the cropping of images within a pipeline, providing a streamlined and efficient way to adjust image dimensions and focus on specific areas. This node is particularly useful for AI artists who need to preprocess images by cropping them to desired positions and offsets before further processing. By offering a variety of cropping positions and interpolation methods, the Crop Image Pipe (JPS) ensures that the resulting images meet the specific requirements of your creative projects. This node simplifies the cropping process, making it accessible even to those without a deep technical background, and enhances the overall workflow by integrating seamlessly into the image processing pipeline.
The cropimage_settings
parameter is a composite input that encapsulates all the necessary settings for cropping an image. It includes the source crop position, source crop offset, support crop position, support crop offset, and the interpolation method. These settings collectively determine how the image will be cropped and resized. The source and support crop positions can be set to "center", "top", "bottom", "left", or "right", allowing you to specify the area of the image to focus on. The crop offsets are integer values that adjust the cropping area by a specified number of pixels, with a range from -2048 to 2048 and a default value of 0. The interpolation method can be one of "lanczos", "nearest", "bilinear", "bicubic", "area", or "nearest-exact", which affects the quality and smoothness of the resized image.
The source_crop_pos
output parameter indicates the position from which the source image was cropped. It can be one of the following values: "center", "top", "bottom", "left", or "right". This parameter helps you understand the focal point of the cropped image.
The source_crop_offset
output parameter provides the offset value in pixels applied to the source crop position. This integer value helps you determine how much the cropping area was adjusted from the specified position.
The support_crop_pos
output parameter indicates the position from which the support image was cropped. Similar to the source crop position, it can be "center", "top", "bottom", "left", or "right". This parameter is useful for understanding the focal point of the support image.
The support_crop_offset
output parameter provides the offset value in pixels applied to the support crop position. This integer value helps you determine how much the cropping area was adjusted from the specified position.
The crop_intpol
output parameter specifies the interpolation method used for resizing the cropped image. It can be one of "lanczos", "nearest", "bilinear", "bicubic", "area", or "nearest-exact". This parameter is important for understanding the quality and smoothness of the resized image.
source_crop_offset
and support_crop_offset
values carefully, ensuring they are within the range of -2048 to 2048. - Experiment with different crop_intpol
methods to find the best balance between image quality and processing speed for your specific project.© Copyright 2024 RunComfy. All Rights Reserved.