Dummy Latent Out

Documentation

• Class name: DummyLatentOut
• Category: KJNodes/misc
• Output node: True

Provides a simple pass-through for latent data, facilitating the visualization of workflow outputs in the UI without necessitating data persistence on disk.

Input types

Required

• latent
  • The latent data to be passed through. This input is essential for the node's operation as it directly influences the output by being returned unchanged.
  • Comfy dtype: LATENT
  • Python dtype: Tuple[torch.Tensor]

Output types

• latent
  • Comfy dtype: LATENT
  • The unchanged latent data received as input, enabling direct visualization in the UI.
  • Python dtype: Tuple[torch.Tensor]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class DummyLatentOut:

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
            "latent": ("LATENT",),
            }
        }

    RETURN_TYPES = ("LATENT",)
    FUNCTION = "dummy"
    CATEGORY = "KJNodes/misc"
    OUTPUT_NODE = True
    DESCRIPTION = """
Does nothing, used to trigger generic workflow output.    
A way to get previews in the UI without saving anything to disk.
"""

    def dummy(self, latent):
        return (latent,)