ComfyUI Node: 🌄 Image Resolution Adjust

🌄 Image Resolution Adjust:

The ImageResolutionAdjust node is designed to help you resize images to a specific resolution by either scaling them to a target width and height or by using a scaling factor. This node is particularly useful for AI artists who need to adjust the resolution of their images while maintaining the aspect ratio or fitting the image to a specific size. The node provides flexibility in how the image is resized, allowing you to choose between scaling by a factor or targeting specific dimensions. This ensures that your images are resized accurately and efficiently, making it easier to prepare images for various applications, such as training AI models or creating high-quality visual content.

🌄 Image Resolution Adjust Input Parameters:

image

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

upscale_method

This parameter determines the method used for scaling the image. The available options are "nearest-exact", "bilinear", "area", "bicubic", and "lanczos". Each method has its own characteristics: "nearest-exact" is fast but may produce blocky results, "bilinear" and "bicubic" provide smoother results, "area" is good for downscaling, and "lanczos" offers high-quality results for both upscaling and downscaling.

width

This parameter specifies the target width of the resized image. It accepts integer values with a default of 512, a minimum of 0, and a maximum defined by MAX_RESOLUTION. If set to 0, the width will be automatically calculated based on the height to maintain the aspect ratio.

height

This parameter specifies the target height of the resized image. It accepts integer values with a default of 512, a minimum of 0, and a maximum defined by MAX_RESOLUTION. If set to 0, the height will be automatically calculated based on the width to maintain the aspect ratio.

crop

This parameter determines how the image should be cropped if the aspect ratio changes during resizing. The available options are "disabled" and "center". "disabled" means no cropping will be applied, while "center" will crop the image from the center to fit the target dimensions.

🌄 Image Resolution Adjust Output Parameters:

image

The output is the resized image, adjusted according to the specified parameters. The image will be returned in the same format as the input, typically as a tensor or array, with the new dimensions applied.

🌄 Image Resolution Adjust Usage Tips:

• To maintain the aspect ratio while resizing, set either the width or height to 0. This will automatically calculate the other dimension based on the aspect ratio.
• Use the "lanczos" upscale method for high-quality results, especially when both upscaling and downscaling images.
• If you need to fit an image to specific dimensions without distortion, use the "center" crop method to ensure the most important part of the image remains in focus.

🌄 Image Resolution Adjust Common Errors and Solutions:

Image dimensions exceed maximum resolution

• Explanation: The specified width or height exceeds the maximum allowed resolution.
• Solution: Ensure that the width and height parameters are within the allowed range defined by MAX_RESOLUTION.

Invalid upscale method

• Explanation: The provided upscale method is not one of the accepted values.
• Solution: Choose an upscale method from the available options: "nearest-exact", "bilinear", "area", "bicubic", or "lanczos".

Image tensor dimensions mismatch

• Explanation: The input image tensor does not have the expected dimensions.
• Solution: Ensure that the input image is provided in the correct format, typically as a tensor with dimensions (batch_size, height, width, channels).