ComfyUI Node: 😼> Scale Image to Side

😼> Scale Image to Side:

The "Scale Image to Side" node is designed to resize an image based on a specified dimension, either the width or height, while maintaining the aspect ratio. This node is particularly useful when you need to ensure that an image fits within a certain dimension without distorting its proportions. By scaling the image to the longer or shorter side, you can achieve a consistent look across different images, making it ideal for tasks such as preparing images for web display, printing, or any scenario where uniformity in image dimensions is required. The node also offers options for interpolation methods to control the quality of the scaling process.

😼> Scale Image to Side Input Parameters:

image

This parameter represents the input image that you want to scale. It should be provided in a format that the node can process, typically as an image tensor.

scale_to

This parameter specifies the target size for the scaling operation. It determines the new dimension (either width or height) to which the image will be scaled. The value should be a positive integer representing the number of pixels.

side

This parameter determines which side of the image will be scaled to the target size. Options include "width" to scale based on the image's width, "height" to scale based on the image's height, "shortest" to scale based on the shorter side, and "longest" to scale based on the longer side. This ensures that the aspect ratio is maintained.

interpolation

This parameter defines the method used for interpolating pixel values during the scaling process. Available options include "nearest-exact", "bilinear", "area", "bicubic", and "lanczos". Each method offers a different balance between performance and image quality.

modulo

This parameter allows you to specify a modulo value to ensure that the new dimensions are multiples of a certain number. This can be useful for certain applications where specific dimension constraints are required.

mask_opt

This optional parameter allows you to provide a mask that will be scaled along with the image. The mask can be used for various purposes, such as preserving certain areas of the image during the scaling process.

😼> Scale Image to Side Output Parameters:

image

The output is the scaled image, resized according to the specified parameters while maintaining the aspect ratio. The image will be returned in the same format as the input, typically as an image tensor.

😼> Scale Image to Side Usage Tips:

• Use the "side" parameter to control whether the image is scaled based on its width, height, or the longer/shorter side, depending on your specific needs.
• Experiment with different interpolation methods to find the best balance between performance and image quality for your particular use case.
• Utilize the "modulo" parameter if you need the scaled image dimensions to be multiples of a specific number, which can be important for certain applications like machine learning models.

😼> Scale Image to Side Common Errors and Solutions:

Invalid scale_to value

• Explanation: The scale_to parameter must be a positive integer.
• Solution: Ensure that the scale_to value is greater than zero and is an integer.

Unsupported interpolation method

• Explanation: The specified interpolation method is not supported.
• Solution: Choose one of the supported interpolation methods: "nearest-exact", "bilinear", "area", "bicubic", or "lanczos".

Image tensor dimension mismatch

• Explanation: The input image tensor does not have the expected dimensions.
• Solution: Verify that the input image tensor is correctly formatted and has the appropriate dimensions for processing.