ComfyUI Node: Remap Image Range

Remap Image Range:

The RemapImageRange node is designed to adjust the pixel values of an image to a specified range. This is particularly useful when you need to normalize or scale image data for various processing tasks. By remapping the image values, you can ensure that the pixel intensities fall within a desired range, which can be crucial for tasks like image blending, thresholding, or preparing images for machine learning models. The node also offers an option to clamp the values, ensuring they stay within a specified range, thus preventing any outliers or extreme values that could affect subsequent processing steps.

Remap Image Range Input Parameters:

image

This parameter accepts the input image that you want to remap. The image should be in a format compatible with the node, typically a tensor. The image's pixel values will be adjusted based on the specified minimum and maximum values.

min

This parameter sets the minimum value to which the image's pixel values will be remapped. The default value is 0.0, with a range from -10.0 to 1.0. Adjusting this value will shift the lower bound of the pixel intensity range.

max

This parameter sets the maximum value to which the image's pixel values will be remapped. The default value is 1.0, with a range from 0.0 to 10.0. Adjusting this value will shift the upper bound of the pixel intensity range.

clamp

This boolean parameter determines whether the remapped values should be clamped to stay within the range of 0.0 to 1.0. The default value is True. When enabled, any values outside this range will be clipped, ensuring that the pixel values do not exceed the specified bounds.

Remap Image Range Output Parameters:

image

The output is the remapped image with pixel values adjusted to the specified range. If clamping is enabled, the values will be restricted to the range of 0.0 to 1.0. This ensures that the image is normalized and ready for further processing or analysis.

Remap Image Range Usage Tips:

• Use the min and max parameters to normalize images to a specific range required by your application, such as preparing images for neural network input.
• Enable the clamp option to prevent any pixel values from exceeding the desired range, which can be particularly useful when working with images that will be combined or compared with others.
• Experiment with different min and max values to see how they affect the contrast and brightness of the image, which can be useful for enhancing visual features.

Remap Image Range Common Errors and Solutions:

"Start index is out of range"

• Explanation: This error occurs when the start_index parameter is set to a value that is outside the valid range of the image batch.
• Solution: Ensure that the start_index is within the range of the image batch. If you want to start from the last image, set start_index to -1.

"End index is out of range"

• Explanation: This error occurs when the calculated end index exceeds the number of images in the batch.
• Solution: Adjust the num_frames parameter or ensure that the start_index and num_frames combination does not exceed the total number of images in the batch.

"Image data type not supported"

• Explanation: This error occurs if the input image is not in a supported data type, such as torch.float16.
• Solution: Convert the image to a supported data type, such as torch.float32, before passing it to the node.