ComfyUI > Nodes > Allor Plugin > ImageTransformCropAbsolute

ComfyUI Node: ImageTransformCropAbsolute

Class Name

ImageTransformCropAbsolute

Category
image/transform
Author
Nourepide (Account age: 2900days)
Extension
Allor Plugin
Latest Updated
2024-05-22
Github Stars
0.2K

How to Install Allor Plugin

Install this extension via the ComfyUI Manager by searching for Allor Plugin
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Allor Plugin in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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ImageTransformCropAbsolute Description

Crop images using absolute pixel coordinates for precise selection of rectangular regions, enhancing image quality and relevance.

ImageTransformCropAbsolute:

The ImageTransformCropAbsolute node is designed to crop images based on absolute pixel coordinates. This node allows you to specify the exact rectangular region of the image you want to retain by defining the starting and ending coordinates along the x and y axes. This precise control over cropping is particularly useful when you need to focus on a specific area of an image, remove unwanted borders, or prepare images for further processing. By using this node, you can ensure that the cropped images meet your exact requirements, enhancing the quality and relevance of your image transformations.

ImageTransformCropAbsolute Input Parameters:

images

This parameter accepts a list of images that you want to crop. Each image in the list will be processed individually based on the specified cropping coordinates.

start_x

This integer parameter defines the starting x-coordinate (horizontal position) for the cropping rectangle. The default value is 0, and it can be adjusted in steps of 1 pixel. This parameter determines the left boundary of the cropped area.

start_y

This integer parameter defines the starting y-coordinate (vertical position) for the cropping rectangle. The default value is 0, and it can be adjusted in steps of 1 pixel. This parameter determines the top boundary of the cropped area.

end_x

This integer parameter defines the ending x-coordinate (horizontal position) for the cropping rectangle. The default value is 128, and it can be adjusted in steps of 1 pixel. This parameter determines the right boundary of the cropped area.

end_y

This integer parameter defines the ending y-coordinate (vertical position) for the cropping rectangle. The default value is 128, and it can be adjusted in steps of 1 pixel. This parameter determines the bottom boundary of the cropped area.

ImageTransformCropAbsolute Output Parameters:

images

The output is a list of cropped images. Each image in the list corresponds to the input images but cropped according to the specified coordinates. The cropped images retain the same format as the input images, ensuring consistency in further processing or usage.

ImageTransformCropAbsolute Usage Tips:

  • To focus on a specific region of interest in an image, carefully set the start_x, start_y, end_x, and end_y parameters to define the exact area you want to retain.
  • Use this node to remove unwanted borders or margins from images, which can be particularly useful for preparing images for machine learning models or other image processing tasks.
  • When working with a batch of images, ensure that the cropping coordinates are appropriate for all images in the batch to maintain consistency.

ImageTransformCropAbsolute Common Errors and Solutions:

"IndexError: list index out of range"

  • Explanation: This error occurs when the specified cropping coordinates exceed the dimensions of the input images.
  • Solution: Ensure that the end_x and end_y values are within the bounds of the image dimensions. Adjust the coordinates to fit within the image size.

"TypeError: 'NoneType' object is not subscriptable"

  • Explanation: This error occurs when the input images list is empty or contains invalid elements.
  • Solution: Verify that the input images list is correctly populated with valid image tensors before passing it to the node.

"ValueError: Expected input batch size to be non-zero"

  • Explanation: This error occurs when the input images list is empty.
  • Solution: Ensure that the input images list contains at least one image before processing.

ImageTransformCropAbsolute Related Nodes

Go back to the extension to check out more related nodes.
Allor Plugin
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