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Flexible image cropping with precise control over position, offset, and interpolation for AI artists.
The Crop Image Settings (JPS) node is designed to provide a flexible and efficient way to crop images based on specified parameters. This node allows you to define the cropping position and offset for both the source and support images, as well as choose the interpolation method for resizing. By offering a range of options for cropping positions and offsets, this node ensures that you can precisely control the area of the image you want to focus on. The interpolation methods available help in maintaining the quality of the image during the resizing process. This node is particularly useful for AI artists who need to prepare images for further processing or analysis, ensuring that the images are cropped and resized according to specific requirements.
This parameter defines the position from which the source image will be cropped. The available options are "center", "top", "bottom", "left", and "right". Choosing the correct position ensures that the desired part of the image is retained. For example, selecting "center" will crop the image from its center, while "top" will crop from the top edge.
This parameter specifies the offset value for the source image cropping. It allows you to fine-tune the cropping position by shifting it horizontally or vertically. The value can range from -2048 to 2048, with a default of 0. A positive value shifts the crop position to the right or bottom, while a negative value shifts it to the left or top.
Similar to the source_crop_pos, this parameter defines the cropping position for the support image. The options are "center", "top", "bottom", "left", and "right". This ensures that the support image is cropped in a manner consistent with the source image, maintaining alignment and focus.
This parameter specifies the offset value for the support image cropping. It functions similarly to the source_crop_offset, allowing you to adjust the cropping position with a value range from -2048 to 2048 and a default of 0. This helps in achieving precise alignment between the source and support images.
This parameter determines the interpolation method used for resizing the cropped image. The available options are "lanczos", "nearest", "bilinear", "bicubic", "area", and "nearest-exact". Each method has its own characteristics in terms of quality and performance. For instance, "lanczos" provides high-quality results but may be slower, while "nearest" is faster but may result in lower quality.
This output parameter returns a tuple containing the settings used for cropping the image. It includes the source_crop_pos, source_crop_offset, support_crop_pos, support_crop_offset, and crop_intpol. This output can be used as input for other nodes that require these specific cropping settings, ensuring consistency and reusability across different parts of your workflow.
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