ComfyUI Node: Image Resize by Longer Side

Image Resize by Longer Side:

The JWImageResizeByLongerSide node is designed to resize an image based on its longer side, ensuring that the aspect ratio is maintained. This node is particularly useful when you want to standardize the size of images without distorting their proportions. By resizing the image to a specified size along its longer dimension, the node automatically adjusts the shorter side to maintain the original aspect ratio. This method is beneficial for preparing images for various applications, such as AI art generation, where consistent image dimensions are crucial. The node also offers different interpolation modes to control the quality of the resized image, making it versatile for different use cases.

Image Resize by Longer Side Input Parameters:

image

This parameter expects an image in the form of a tensor. The image is the primary input that will be resized based on its longer side. The tensor format ensures that the image data is efficiently processed and manipulated within the node.

size

The size parameter specifies the target size for the longer side of the image. It is an integer value with a default of 512, a minimum of 0, and a maximum of 99999. This parameter determines the new dimension for the longer side of the image, while the shorter side is adjusted proportionally to maintain the aspect ratio.

interpolation_mode

This parameter defines the method used for resizing the image. The available options are "bicubic", "bilinear", "nearest", and "nearest exact". Each mode offers a different approach to interpolation, affecting the quality and smoothness of the resized image. For instance, "bicubic" provides smoother results, while "nearest" is faster but may produce a more pixelated image.

Image Resize by Longer Side Output Parameters:

IMAGE

The output is the resized image, returned as a tensor. This image has been resized according to the specified size for the longer side, with the shorter side adjusted to maintain the original aspect ratio. The interpolation mode chosen affects the quality of this output image.

Image Resize by Longer Side Usage Tips:

• Use the "bicubic" interpolation mode for high-quality, smooth resizing, especially when working with detailed images.
• Set the size parameter according to the requirements of your project, ensuring that the longer side of the image matches the desired dimension.
• When working with a batch of images, ensure they are all in tensor format to avoid compatibility issues.

Image Resize by Longer Side Common Errors and Solutions:

AssertionError: Expected image to be a torch.Tensor

• Explanation: This error occurs when the input image is not in the expected tensor format.
• Solution: Ensure that the input image is converted to a tensor before passing it to the node.

AssertionError: Expected size to be an int

• Explanation: This error occurs when the size parameter is not an integer.
• Solution: Verify that the size parameter is an integer value within the specified range.

AssertionError: Expected interpolation_mode to be a str

• Explanation: This error occurs when the interpolation_mode parameter is not a string.
• Solution: Ensure that the interpolation_mode is specified as a string and matches one of the available options ("bicubic", "bilinear", "nearest", "nearest exact").