ComfyUI Node: Scale Down By

Scale Down By:

The ImageScaleDownBy node is designed to reduce the size of images by a specified scaling factor. This node is particularly useful when you need to downscale images while maintaining their aspect ratio. By providing a simple and efficient way to scale down images, it helps in optimizing image processing tasks, reducing file sizes, and preparing images for various applications where smaller dimensions are required. The node leverages a scaling factor to determine the new dimensions of the image, ensuring that the downscaling process is both precise and easy to control.

Scale Down By Input Parameters:

images

This parameter accepts the image or batch of images that you want to scale down. The images should be in a format that the node can process, typically a tensor format. The input images are the primary data that will be resized based on the scaling factor provided.

scale_by

This parameter determines the factor by which the images will be scaled down. It is a floating-point value with a default of 0.5, meaning the image dimensions will be halved by default. The minimum value is 0.01, allowing for very fine scaling, and the maximum value is 1.0, which means no scaling down. Adjusting this parameter will directly affect the new dimensions of the image, making it smaller by the specified factor.

Scale Down By Output Parameters:

IMAGE

The output is the scaled-down image or batch of images. The dimensions of the output images are determined by the scale_by parameter, ensuring that the aspect ratio is maintained while reducing the overall size. This output can be used in subsequent image processing tasks or saved for later use.

Scale Down By Usage Tips:

• To achieve a specific reduction in image size, adjust the scale_by parameter accordingly. For example, setting scale_by to 0.25 will reduce the image dimensions to a quarter of their original size.
• Use this node to prepare images for applications where smaller file sizes are beneficial, such as web usage or thumbnail generation.
• Combine this node with other image processing nodes to create a streamlined workflow for handling high-resolution images.

Scale Down By Common Errors and Solutions:

"Invalid image format"

• Explanation: The input images are not in a supported format.
• Solution: Ensure that the images are provided in a tensor format that the node can process.

"Scale factor out of range"

• Explanation: The scale_by parameter is set to a value outside the allowed range (0.01 to 1.0).
• Solution: Adjust the scale_by parameter to be within the valid range.

"Image dimensions too small"

• Explanation: The resulting dimensions after scaling are too small to process.
• Solution: Increase the scale_by parameter to ensure the output dimensions are sufficient for further processing.