ComfyUI Node: 🔧 Image Contrast Adaptive Sharpening

🔧 Image Contrast Adaptive Sharpening+:

ImageCASharpening+ is a powerful node designed to enhance the sharpness and clarity of your images using Contrast Adaptive Sharpening (CAS) techniques. This node is particularly useful for AI artists who want to improve the visual quality of their images by making details more pronounced and edges crisper. The CAS method adapts the sharpening effect based on the local contrast of the image, ensuring that the enhancement is applied intelligently and effectively. This results in a more natural and visually appealing sharpening effect compared to traditional methods. By using ImageCASharpening+, you can achieve a balanced enhancement that preserves the integrity of the original image while making it more vibrant and detailed.

🔧 Image Contrast Adaptive Sharpening+ Input Parameters:

image

This parameter accepts the image you want to sharpen. The image should be in a tensor format, typically represented as a 4D tensor with dimensions corresponding to batch size, height, width, and channels. The image serves as the primary input for the sharpening process.

amount

This parameter controls the intensity of the sharpening effect. It is a floating-point value that ranges from 0 to 1, with a default value of 0.8. A higher value results in a stronger sharpening effect, while a lower value produces a more subtle enhancement. Adjusting this parameter allows you to fine-tune the sharpness to match your desired outcome.

🔧 Image Contrast Adaptive Sharpening+ Output Parameters:

IMAGE

The output is the sharpened image, returned as a tensor. This image will have the same dimensions as the input image but with enhanced sharpness and clarity. The sharpening effect is applied adaptively, ensuring that the output image retains a natural look while highlighting important details and edges.

🔧 Image Contrast Adaptive Sharpening+ Usage Tips:

• To achieve a balanced sharpening effect, start with the default amount value of 0.8 and adjust incrementally based on the visual feedback.
• Use ImageCASharpening+ on images that require enhanced detail and clarity, such as portraits or landscape photos, to make the features more pronounced.

🔧 Image Contrast Adaptive Sharpening+ Common Errors and Solutions:

Input image dimensions mismatch

• Explanation: The input image tensor does not have the expected dimensions (batch size, height, width, channels).
• Solution: Ensure that the input image is a 4D tensor with the correct dimensions before passing it to the node.

Invalid amount value

• Explanation: The amount parameter is set to a value outside the allowed range (0 to 1).
• Solution: Adjust the amount parameter to be within the range of 0 to 1. The default value is 0.8, which can be a good starting point.