ComfyUI Node: IMG_padder

IMG_padder:

The IMG_padder node is designed to adjust the dimensions of an image to ensure they are multiples of a specified value. This is particularly useful in various image processing tasks where certain algorithms or models require input images to have dimensions that are multiples of a specific number, such as 8. By using this node, you can ensure that your images are correctly sized, which can help prevent errors and improve the performance of subsequent processing steps. The node works by cropping the image dimensions to the nearest multiple of the specified value, ensuring that the resulting image maintains its visual integrity while meeting the required size constraints.

IMG_padder Input Parameters:

image

This parameter represents the input image that you want to adjust. The image should be in a format that the node can process, typically a tensor with shape (batch size, height, width, channels). The node will use this image to perform the padding operation.

multiple_of

This parameter specifies the value to which the image dimensions should be adjusted. The height and width of the image will be cropped to the nearest multiple of this value. The default value is 8, with a minimum of 2 and a maximum of 264. Adjusting this parameter allows you to control the granularity of the padding, ensuring compatibility with various image processing requirements.

IMG_padder Output Parameters:

image

The output is the adjusted image with dimensions that are multiples of the specified value. This ensures that the image is correctly sized for further processing steps, reducing the likelihood of errors and improving overall performance. The output image maintains its original visual content while meeting the required size constraints.

IMG_padder Usage Tips:

• Use the default multiple_of value of 8 for general purposes, as many image processing models and algorithms are optimized for this size.
• Adjust the multiple_of parameter based on the specific requirements of your subsequent processing steps to ensure compatibility and optimal performance.
• Ensure that the input image is in the correct format (tensor with shape (batch size, height, width, channels)) to avoid errors during processing.

IMG_padder Common Errors and Solutions:

"Input image must have 1 or 3 channels, but got {c} channels. Image shape = {image.shape}"

• Explanation: This error occurs when the input image has a number of channels other than 1 or 3, which the node cannot process.
• Solution: Ensure that your input image has either 1 (grayscale) or 3 (RGB) channels before passing it to the node.

"Images must have the same batch size for blending!"

• Explanation: This error occurs when the input image batch size does not match the expected batch size.
• Solution: Verify that the input image batch size is consistent with the expected batch size for the node's operation.