ComfyUI Node: LayerUtility: CropByMask

LayerUtility: CropByMask:

The LayerUtility: CropByMask node is designed to crop an image based on a provided mask, allowing you to isolate and work with specific regions of an image. This node is particularly useful for AI artists who need to focus on certain parts of an image without manually selecting the area. By using a mask, you can automate the cropping process, ensuring precision and saving time. The node supports various detection methods to determine the cropping area, such as minimum bounding rectangle and maximum inscribed rectangle, providing flexibility depending on your needs. Additionally, it allows for reserves around the detected area and can round the crop dimensions to specific multiples, making it highly adaptable for different artistic requirements.

LayerUtility: CropByMask Input Parameters:

mask

The mask parameter is a required input that defines the area of the image to be cropped. It is typically a binary or grayscale image where the region of interest is highlighted. The mask helps the node determine which part of the image to focus on, ensuring that only the desired area is cropped.

x

The x parameter specifies the horizontal starting point of the crop. It is an integer value with a default of 0, a minimum of 0, and a maximum defined by the maximum resolution of the image. Adjusting this value shifts the crop area horizontally.

y

The y parameter specifies the vertical starting point of the crop. It is an integer value with a default of 0, a minimum of 0, and a maximum defined by the maximum resolution of the image. Adjusting this value shifts the crop area vertically.

width

The width parameter defines the width of the crop area. It is an integer value with a default of 512, a minimum of 1, and a maximum defined by the maximum resolution of the image. This parameter controls how wide the cropped section will be.

height

The height parameter defines the height of the crop area. It is an integer value with a default of 512, a minimum of 1, and a maximum defined by the maximum resolution of the image. This parameter controls how tall the cropped section will be.

LayerUtility: CropByMask Output Parameters:

MASK

The MASK output parameter returns the cropped mask. This output is a subset of the original mask, resized and repositioned according to the specified input parameters. It allows you to use the cropped region for further processing or analysis.

LayerUtility: CropByMask Usage Tips:

• To achieve precise cropping, ensure that your mask accurately highlights the region of interest. A well-defined mask will result in a more accurate crop.
• Experiment with different detection methods (min_bounding_rect, max_inscribed_rect, etc.) to see which one best suits your image and artistic needs.
• Utilize the reserve parameters to add padding around the cropped area, which can be useful for maintaining context or avoiding edge artifacts.

LayerUtility: CropByMask Common Errors and Solutions:

"Invalid mask shape"

• Explanation: This error occurs when the provided mask does not have the expected dimensions or format.
• Solution: Ensure that your mask is a binary or grayscale image with the correct dimensions matching the input image.

"Crop dimensions out of bounds"

• Explanation: This error happens when the specified crop dimensions exceed the boundaries of the input image.
• Solution: Adjust the x, y, width, and height parameters to ensure they fall within the image's dimensions.

"Unsupported detection method"

• Explanation: This error is raised when an invalid detection method is specified.
• Solution: Verify that the detection method is one of the supported options (min_bounding_rect, max_inscribed_rect, etc.) and correct any typos.