Load Images From String

Documentation

• Class name: JWLoadImagesFromString
• Category: jamesWalker55
• Output node: False

This node is designed to load images directly from a string input, facilitating the conversion of textual image data into usable image formats for further processing or visualization.

Input types

Required

• paths
  • Accepts a list of file paths as strings, indicating the locations of images to be loaded. This input is crucial for identifying and accessing the images specified by the user.
  • Comfy dtype: STRING
  • Python dtype: List[str]
• ignore_missing_images
  • A boolean flag that determines how to handle missing images specified in the 'paths'. If set to True, missing images will be ignored without causing errors; otherwise, an error will be raised for any missing image.
  • Comfy dtype: ['false', 'true']
  • Python dtype: bool

Output types

• image
  • Comfy dtype: IMAGE
  • Produces an output image or a batch of images loaded from the specified file paths. This output is essential for further image processing or visualization tasks.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

@register_node("JWImageLoadRGB", "Image Load RGB")
class _:
    CATEGORY = "jamesWalker55"
    INPUT_TYPES = lambda: {
        "required": {
            "path": ("STRING", {"default": "./image.png"}),
        }
    }
    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "execute"

    def execute(self, path: str):
        assert isinstance(path, str)

        img = load_image(path)
        return (img,)