ComfyUI Node: Resize Image

Resize Image:

The ResizeImage node is designed to adjust the size of an image to a specified resolution, making it a valuable tool for AI artists who need to prepare images for various applications or outputs. This node is particularly useful when you need to ensure that your images meet specific size requirements without manually resizing them in an external application. By automating the resizing process, ResizeImage helps maintain consistency across your image assets, which is crucial for tasks like training AI models or preparing images for display on different platforms. The node operates by taking an input image and resizing it to the desired resolution, ensuring that the image's aspect ratio and quality are preserved as much as possible.

Resize Image Input Parameters:

image

The image parameter is the input image that you want to resize. It should be provided in a format that the node can process, typically as a tensor. This parameter is crucial as it serves as the base content that will be resized according to the specified resolution.

resolution

The resolution parameter determines the target size for the resized image. It is an integer value that specifies the new resolution, with a default of 512. The minimum value is 256, and the maximum is 4096, allowing for a wide range of resizing options. This parameter directly impacts the final size of the image, making it essential for ensuring that the output meets your specific requirements.

Resize Image Output Parameters:

image

The image output parameter is the resized image that results from the node's processing. This output is crucial as it provides the final image that has been adjusted to the specified resolution, ready for further use or analysis. The resized image maintains the original content but in the new dimensions specified by the resolution parameter.

Resize Image Usage Tips:

• Ensure that the input image is in the correct format (e.g., a tensor) to avoid processing errors and to ensure compatibility with the node's resizing function.
• Choose a resolution that matches your project's requirements, keeping in mind the balance between image quality and file size. Higher resolutions may provide better quality but can also increase processing time and file size.

Resize Image Common Errors and Solutions:

AssertionError: Image tensor dimensions are incorrect

• Explanation: This error occurs when the input image tensor does not have the expected dimensions, which should be 4D with the channel dimension being either the second or last.
• Solution: Verify that your input image is a 4D tensor and that the channel dimension is correctly positioned. You may need to permute the dimensions if necessary.

ValueError: Resolution out of bounds

• Explanation: This error is raised when the specified resolution is outside the allowed range of 256 to 4096.
• Solution: Adjust the resolution parameter to ensure it falls within the valid range. Double-check the value you are inputting to avoid this error.