Image Batch To Image List

Documentation

• Class name: easy imageBatchToImageList
• Category: EasyUse/Image
• Output node: False

The node is designed to convert a batch of images into a list of individual images, facilitating operations that require handling images on a per-image basis rather than in batch form.

Input types

Required

• image
  • The input image batch to be split into individual images. This parameter is crucial for the node's operation as it directly influences the output list of images.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Output types

• image
  • Comfy dtype: IMAGE
  • The output is a list of individual images that were originally part of the input image batch.
  • Python dtype: List[torch.Tensor]

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

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

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

  CATEGORY = "EasyUse/Image"

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