ComfyUI Node: Resize Image by Factor

Resize Image by Factor:

The JDC_ResizeFactor node is designed to resize images by a specified factor, allowing you to scale images up or down with ease. This node is particularly useful for AI artists who need to adjust the size of their images for various purposes, such as preparing images for further processing, creating thumbnails, or simply changing the resolution to meet specific requirements. By leveraging different resampling methods, the node ensures that the resized images maintain high quality and visual fidelity. The main goal of this node is to provide a flexible and efficient way to resize images while giving you control over the scaling factor and the resampling technique used.

Resize Image by Factor Input Parameters:

IMAGE

This parameter represents the input image that you want to resize. The image should be in a format that the node can process, typically a tensor or an image object.

factor

The factor parameter determines the scaling factor by which the image will be resized. A value greater than 1 will upscale the image, while a value less than 1 will downscale it. The default value is 2, with a minimum of 0.01 and a maximum of 10. This parameter allows you to precisely control the size of the output image.

resampler

The resampler parameter specifies the resampling method to be used during the resizing process. Available options include "nearest", "box", "bilinear", "bicubic", "hamming", and "lanczos". Each method has its own characteristics and can affect the quality and appearance of the resized image. For example, "nearest" is the fastest but may produce a pixelated image, while "lanczos" provides high-quality results but is computationally more intensive.

Resize Image by Factor Output Parameters:

IMAGE

The output parameter is the resized image. This image will have its dimensions adjusted according to the specified scaling factor and resampling method, ensuring that it meets your size requirements while maintaining the best possible quality.

Resize Image by Factor Usage Tips:

• To achieve the best quality when upscaling images, consider using the "lanczos" resampling method, as it provides high-quality results.
• When downscaling images, the "bilinear" or "bicubic" methods are generally good choices as they balance quality and performance.
• Experiment with different scaling factors and resampling methods to find the best combination for your specific use case.

Resize Image by Factor Common Errors and Solutions:

Invalid scaling factor

• Explanation: The scaling factor provided is outside the allowed range (0.01 to 10).
• Solution: Ensure that the scaling factor is within the specified range. Adjust the value to be between 0.01 and 10.

Unsupported image format

• Explanation: The input image is in a format that the node cannot process.
• Solution: Convert the image to a supported format, such as a tensor or a standard image object, before passing it to the node.

Resampler method not recognized

• Explanation: The specified resampler method is not one of the supported options.
• Solution: Choose a resampler method from the available options: "nearest", "box", "bilinear", "bicubic", "hamming", or "lanczos".