ImageClamp

Documentation

• Class name: ImageClamp
• Category: clamp
• Output node: False

The ImageClamp node is designed to pass through image data without modification, acting as a placeholder or a checkpoint within a data processing pipeline. It ensures that image data conforms to expected formats or standards without altering the content.

Input types

Required

• image
  • The 'image' input type represents the image data that will be passed through the node unaltered. It serves as a mechanism to ensure the data conforms to expected formats or standards within the pipeline.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Output types

• image
  • Comfy dtype: IMAGE
  • The output is the unmodified image data, ensuring it conforms to expected formats or standards within the data processing pipeline.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ImageClamp:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "image": ("IMAGE",),
            },
        }

    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "node"
    CATEGORY = "clamp"

    def node(self, image):
        return (image,)