Image batch to Image List

Documentation

• Class name: ImpactImageBatchToImageList
• Category: ImpactPack/Util
• Output node: False

This node is designed to convert a batch of images into a list of individual images, facilitating operations that require handling images one at a time. It's particularly useful in workflows where images need to be processed or analyzed separately after being batch-processed.

Input types

Required

• image
  • The input parameter 'image' represents the batch of images to be split into individual images. It plays a crucial role in the node's operation by providing the data that will be decomposed.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Output types

• image
  • Comfy dtype: IMAGE
  • The output is a list of individual images, each extracted from the input batch. This allows for further individual processing or analysis of each image.
  • Python dtype: List[torch.Tensor]

Usage tips

• Infra type: GPU
• Common nodes:
  • TilePreprocessor
  • VAEEncode
  • PreviewImage

Source code

class ImageBatchToImageList:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {"image": ("IMAGE",), }}

    RETURN_TYPES = ("IMAGE",)
    OUTPUT_IS_LIST = (True,)
    FUNCTION = "doit"

    CATEGORY = "ImpactPack/Util"

    def doit(self, image):
        images = [image[i:i + 1, ...] for i in range(image.shape[0])]
        return (images, )