ComfyUI Node: IMG_resolution_multiple_of

IMG_resolution_multiple_of:

The IMG_resolution_multiple_of node is designed to adjust the resolution of an image to ensure that its dimensions 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 or 16. By using this node, you can easily crop the image to the nearest multiple of the specified value, ensuring compatibility with these requirements. This node helps maintain the integrity of the image while making it suitable for further processing or analysis.

IMG_resolution_multiple_of 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 dimensions corresponding to batch size, height, width, and channels. The image is the primary data that will be modified by the node to meet the specified resolution requirements.

multiple_of

This parameter specifies the value to which the image dimensions should be adjusted. The node will crop the image so that both its height and width are multiples 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 resolution adjustment, making the image compatible with various processing requirements.

IMG_resolution_multiple_of Output Parameters:

image

The output is the adjusted image with dimensions that are multiples of the specified value. This ensures that the image is now suitable for any subsequent processing steps that require specific dimension constraints. The output image maintains the original content as much as possible while conforming to the new resolution requirements.

IMG_resolution_multiple_of Usage Tips:

• Use the multiple_of parameter to match the requirements of the specific model or algorithm you plan to use for further image processing.
• Ensure that the input image has sufficient resolution so that cropping to the nearest multiple does not significantly affect the content of the image.
• This node is particularly useful when preparing images for neural networks that require input dimensions to be multiples of a specific value.

IMG_resolution_multiple_of Common Errors and Solutions:

"Input image dimensions are too small to adjust to the specified multiple."

• Explanation: This error occurs when the input image's dimensions are smaller than the specified multiple, making it impossible to crop the image to the desired resolution.
• Solution: Ensure that the input image has dimensions larger than the specified multiple. You may need to upscale the image before using this node.

"Invalid value for multiple_of parameter."

• Explanation: This error occurs when the value provided for the multiple_of parameter is outside the allowed range (2 to 264).
• Solution: Check the value of the multiple_of parameter and ensure it is within the valid range. Adjust the value accordingly and try again.