ComfyUI Node: ImageFilterDetail

ImageFilterDetail:

The ImageFilterDetail node is designed to enhance the fine details in your images, making textures and intricate patterns more pronounced. This can be particularly useful for AI artists looking to bring out subtle features in their artwork or to add a layer of complexity to their images. By applying a detail filter, this node helps in accentuating the finer elements, thereby enriching the visual depth and overall aesthetic appeal of the image. The primary goal of this node is to provide a straightforward way to enhance image details without requiring extensive technical knowledge or manual adjustments.

ImageFilterDetail Input Parameters:

images

This parameter accepts the images you want to process. The input should be in the form of an image tensor, which the node will then apply the detail filter to. The function of this parameter is to provide the raw image data that will be enhanced. There are no minimum, maximum, or default values for this parameter as it simply requires the image data you wish to process.

ImageFilterDetail Output Parameters:

IMAGE

The output of this node is an enhanced image with more pronounced details. The function of this output is to provide you with an image where the finer elements and textures are more visible, making it ideal for applications where detail and texture are crucial. The output is in the same format as the input image tensor, ensuring compatibility with subsequent nodes in your workflow.

ImageFilterDetail Usage Tips:

• Use this node when you want to highlight intricate details in your images, such as textures, patterns, or fine lines.
• Combine this node with other filters like ImageFilterSharpen to achieve a balanced enhancement of both details and overall sharpness.

ImageFilterDetail Common Errors and Solutions:

"Input image tensor is not valid"

• Explanation: This error occurs when the input provided is not a valid image tensor.
• Solution: Ensure that the input is a correctly formatted image tensor. Check the source of your image data and verify its format.

"Image processing failed"

• Explanation: This error might occur due to an internal issue during the application of the detail filter.
• Solution: Try re-running the node with a different image or check if the image tensor is corrupted. If the problem persists, consider restarting the application or checking for updates.