ImageNormalize_Neg1_To_1

Documentation

• Class name: ImageNormalize_Neg1_To_1
• Category: KJNodes/misc
• Output node: False

This node normalizes images to a range between -1 and 1, adjusting pixel values to fit within this scale. It's designed to standardize image data, making it suitable for further processing or model input where normalized data is required.

Input types

Required

• images
  • The images to be normalized. This normalization process adjusts the pixel values to ensure they fall within the -1 to 1 range, which is crucial for maintaining consistency in image processing tasks.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Output types

• image
  • Comfy dtype: IMAGE
  • The normalized images, with pixel values adjusted to fall within the -1 to 1 range. This standardization is essential for models that expect input data to be normalized.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ImageNormalize_Neg1_To_1:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": { 
                              "images": ("IMAGE",),

                              }}
    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "normalize"
    CATEGORY = "KJNodes/misc"
    DESCRIPTION = """
Normalize the images to be in the range [-1, 1]  
"""

    def normalize(self,images):
        images = images * 2.0 - 1.0
        return (images,)