ComfyUI Node: Crop (mtb)

Crop (mtb):

The Crop (mtb) node is designed to extract a specific region from an image, allowing you to focus on a particular area of interest. This node is particularly useful for AI artists who need to isolate parts of an image for further processing or analysis. By defining a bounding box, you can precisely control the portion of the image to be cropped, ensuring that only the desired section is retained. The node also supports optional border blending, which can create a smooth transition between the cropped area and the rest of the image, enhancing the visual quality of the output. This functionality is essential for tasks that require high precision and aesthetic quality, such as image editing, object detection, and artistic transformations.

Crop (mtb) Input Parameters:

image

The image parameter is the primary input image from which a region will be cropped. This image should be provided as a tensor, and it serves as the base from which the specified region will be extracted. The quality and resolution of the input image directly impact the quality of the cropped output.

mask

The mask parameter is an optional input that can be used to specify a region of interest within the image. If provided, the mask should be a tensor of the same dimensions as the input image. The mask helps in defining the area to be cropped more precisely, especially when dealing with complex shapes or regions.

x

The x parameter specifies the x-coordinate of the top-left corner of the bounding box. This value determines the horizontal starting point of the crop. The default value is 0, and it should be adjusted based on the desired crop region.

y

The y parameter specifies the y-coordinate of the top-left corner of the bounding box. This value determines the vertical starting point of the crop. The default value is 0, and it should be adjusted based on the desired crop region.

width

The width parameter defines the width of the bounding box. This value determines how wide the cropped region will be. The default value is 256, but it can be adjusted to fit the specific area you want to crop.

height

The height parameter defines the height of the bounding box. This value determines how tall the cropped region will be. The default value is 256, but it can be adjusted to fit the specific area you want to crop.

bbox

The bbox parameter is an optional input that allows you to specify the bounding box directly as a tuple of (x, y, width, height). If provided, this parameter overrides the individual x, y, width, and height parameters. This is useful for quickly defining the crop region without setting each parameter separately.

border_blending

The border_blending parameter controls the blending of the border between the cropped region and the rest of the image. This value ranges from 0.0 to 1.0, where 0.0 means no blending and 1.0 means maximum blending. Adjusting this parameter can help create a smoother transition and improve the visual quality of the cropped image.

Crop (mtb) Output Parameters:

cropped_image

The cropped_image parameter is the output tensor containing the cropped region of the input image. This tensor retains the same number of channels as the input image and represents the specified area defined by the bounding box.

cropped_mask

The cropped_mask parameter is the output tensor containing the cropped region of the mask, if a mask was provided. This tensor helps in further processing or analysis of the cropped region, especially when dealing with complex shapes or regions.

crop_data

The crop_data parameter is a tuple containing the coordinates and dimensions of the bounding box used for cropping (x, y, width, height). This information is useful for tracking the cropped region and can be used for further processing or analysis.

Crop (mtb) Usage Tips:

• To achieve a precise crop, ensure that the x, y, width, and height parameters are accurately set according to the region of interest.
• Utilize the mask parameter to define complex regions that are not easily captured by a simple bounding box.
• Adjust the border_blending parameter to create a smooth transition between the cropped region and the rest of the image, enhancing the visual quality of the output.

Crop (mtb) Common Errors and Solutions:

"Invalid bounding box dimensions"

• Explanation: This error occurs when the specified bounding box dimensions (x, y, width, height) are outside the bounds of the input image.
• Solution: Ensure that the bounding box coordinates and dimensions are within the valid range of the input image's dimensions.

"Mask dimensions do not match image dimensions"

• Explanation: This error occurs when the provided mask does not have the same dimensions as the input image.
• Solution: Ensure that the mask tensor has the same width and height as the input image to avoid dimension mismatch errors.

"Border blending value out of range"

• Explanation: This error occurs when the border_blending parameter is set to a value outside the range of 0.0 to 1.0.
• Solution: Adjust the border_blending parameter to a value within the valid range (0.0 to 1.0) to ensure proper blending.