Image Load RGB

Documentation

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

This node is designed to load an image from a specified path and convert it into an RGB format. It abstracts the complexities of image file handling and conversion, providing a straightforward way to work with image data in RGB format.

Input types

Required

• path
  • Specifies the file path of the image to be loaded. This parameter is crucial as it determines which image file the node will process and convert to RGB format.
  • Comfy dtype: STRING
  • Python dtype: str

Output types

• image
  • Comfy dtype: IMAGE
  • The output is the image data converted into RGB format, ready for further processing or visualization.
  • 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,)