3-Way Muxer for Latents

Documentation

• Class name: SeargeLatentMuxer3
• Category: Searge/_deprecated_/FlowControl
• Output node: False

The SeargeLatentMuxer3 node is designed for selecting one of three provided latent inputs based on a specified selector input. It facilitates dynamic control over which latent input to proceed with in a computational graph, allowing for flexible manipulation of latent representations in generative models.

Input types

Required

• input0
  • The first latent input option for selection.
  • Comfy dtype: LATENT
  • Python dtype: tuple
• input1
  • The second latent input option for selection.
  • Comfy dtype: LATENT
  • Python dtype: tuple
• input2
  • The third latent input option for selection.
  • Comfy dtype: LATENT
  • Python dtype: tuple
• input_selector
  • An integer selector that determines which of the three latent inputs to use. The selector ranges from 0 to 2, with each number corresponding to one of the latent inputs.
  • Comfy dtype: INT
  • Python dtype: int

Output types

• output
  • Comfy dtype: LATENT
  • The selected latent input, based on the value of the input selector.
  • Python dtype: tuple

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class SeargeLatentMuxer3:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
            "input0": ("LATENT",),
            "input1": ("LATENT",),
            "input2": ("LATENT",),
            "input_selector": ("INT", {"default": 0, "min": 0, "max": 2}),
        },
        }

    RETURN_TYPES = ("LATENT",)
    RETURN_NAMES = ("output",)
    FUNCTION = "mux"

    CATEGORY = "Searge/_deprecated_/FlowControl"

    def mux(self, input0, input1, input2, input_selector):
        if input_selector == 1:
            return (input1,)
        elif input_selector == 2:
            return (input2,)
        else:
            return (input0,)