Image to Seed

Documentation

• Class name: Image to Seed
• Category: WAS Suite/Image/Analyze
• Output node: False

This node transforms a collection of images into a corresponding set of numerical seeds. It serves as a bridge between visual content and numerical representations, enabling further processing or analysis based on these derived seeds.

Input types

Required

• images
  • The collection of images to be transformed into seeds. This input is crucial for generating a numerical representation that encapsulates the essence of the visual content.
  • Comfy dtype: IMAGE
  • Python dtype: List[torch.Tensor]

Output types

• int
  • Comfy dtype: INT
  • A list of integers, each representing a seed derived from the corresponding input image. These seeds serve as numerical representations of the images, facilitating further computational tasks.
  • Python dtype: List[int]

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class WAS_Image_To_Seed:
    @classmethod
    def INPUT_TYPES(cls):
        return {"required": {
                    "images": ("IMAGE",),
                }
            }

    RETURN_TYPES = ("INT",)
    OUTPUT_IS_LIST = (True,)

    FUNCTION = "image_to_seed"
    CATEGORY = "WAS Suite/Image/Analyze"

    def image_to_seed(self, images):

        seeds = []
        for image in images:
            image = tensor2pil(image)
            seeds.append(image2seed(image))

        return (seeds, )