ComfyUI Node: AD Image Resize

AD Image Resize:

The AD_image-resize node is designed to adjust the dimensions of an image while maintaining its quality and aspect ratio according to specified parameters. This node is particularly useful for AI artists who need to prepare images for various applications, ensuring that the images fit specific size requirements without distortion. It offers multiple resizing methods, such as stretching, padding, and filling, to accommodate different artistic needs. The node also supports various interpolation techniques to enhance the quality of the resized image. By using this node, you can efficiently manage image dimensions, making it an essential tool for optimizing images for different platforms or creative projects.

AD Image Resize Input Parameters:

image

This parameter represents the input image that you want to resize. It is crucial as it serves as the base for all resizing operations. The image should be in a format compatible with the node's processing capabilities.

width

The desired width of the output image. If set to 0, the width will be automatically adjusted based on the height and the original aspect ratio. This parameter allows you to control the horizontal dimension of the resized image.

height

The desired height of the output image. Similar to the width, if set to 0, the height will be adjusted based on the width and the original aspect ratio. This parameter helps you manage the vertical dimension of the resized image.

method

This parameter determines the resizing method to be used, such as stretch, pad, or fill. Each method offers a different approach to resizing, affecting how the image's aspect ratio and content are handled during the process.

interpolation

Specifies the interpolation technique used for resizing, with options like nearest or lanczos. This parameter impacts the quality of the resized image, with different methods providing varying levels of smoothness and detail preservation.

condition

Defines the conditions under which resizing should occur, such as always, downscale if bigger, or upscale if smaller. This parameter allows for conditional resizing based on the original and target dimensions, providing flexibility in image processing.

multiple_of

Ensures that the output dimensions are multiples of a specified number. This is useful for applications requiring specific alignment or grid-based layouts, ensuring compatibility with certain display or processing requirements.

reference_image

An optional parameter that, if provided, sets the output dimensions to match those of the reference image. This is particularly useful when you need to ensure consistency across multiple images or match a specific template size.

AD Image Resize Output Parameters:

outputs

The primary output is the resized image, which is adjusted according to the specified parameters. This output maintains the quality and aspect ratio as defined by the input settings, providing a ready-to-use image for further processing or display.

width

The width of the resized image, reflecting any adjustments made during the resizing process. This output confirms the final horizontal dimension of the image.

height

The height of the resized image, indicating the vertical dimension after resizing. This output ensures that the image meets the specified or calculated height requirements.

AD Image Resize Usage Tips:

• Use the pad method when you need to maintain the original aspect ratio without cropping, adding borders to fit the desired dimensions.
• Choose lanczos interpolation for high-quality resizing, especially when dealing with detailed images, to preserve clarity and sharpness.

AD Image Resize Common Errors and Solutions:

"Invalid image dimensions"

• Explanation: This error occurs when the input image dimensions are not compatible with the specified resizing parameters.
• Solution: Ensure that the input image dimensions are correctly specified and that the width and height parameters are set appropriately.

"Unsupported interpolation method"

• Explanation: The chosen interpolation method is not recognized by the node.
• Solution: Verify that the interpolation method is one of the supported options, such as nearest or lanczos, and adjust the parameter accordingly.