ComfyUI Node: Image Normalize -1 to 1

Image Normalize -1 to 1:

The ImageNormalize_Neg1_To_1 node is designed to normalize image data so that the pixel values fall within the range of -1 to 1. This normalization process is essential for various image processing and machine learning tasks, as it ensures that the data is scaled consistently, which can improve the performance and stability of algorithms. By transforming the pixel values from their original range (typically 0 to 1) to a range of -1 to 1, this node helps in preparing the images for further processing steps that may require normalized data. This can be particularly beneficial when working with neural networks, as it can lead to faster convergence and better overall performance.

Image Normalize -1 to 1 Input Parameters:

images

This parameter represents the input images that you want to normalize. The images should be provided in a format that the node can process, typically as tensors or arrays. The normalization process will scale the pixel values of these images from their original range to the range of -1 to 1. This is crucial for ensuring that the images are in a consistent format for subsequent processing steps.

Image Normalize -1 to 1 Output Parameters:

IMAGE

The output of this node is the normalized image, with pixel values transformed to the range of -1 to 1. This output can then be used in further image processing or machine learning tasks that require normalized data. The normalization helps in maintaining consistency and can improve the performance of algorithms that process these images.

Image Normalize -1 to 1 Usage Tips:

• Ensure that your input images are in the correct format (e.g., tensors or arrays) before passing them to the node.
• Use this node as a preprocessing step before feeding images into neural networks to improve training stability and performance.
• Combine this node with other image processing nodes to create a comprehensive image preprocessing pipeline.

Image Normalize -1 to 1 Common Errors and Solutions:

Input image format not supported

• Explanation: The input images are not in a format that the node can process.
• Solution: Convert your images to the appropriate format (e.g., tensors or arrays) before passing them to the node.

Unexpected output values

• Explanation: The output image values are not in the expected range of -1 to 1.
• Solution: Verify that the input images are correctly scaled and that no additional transformations are applied before normalization.