Latent Lerp (mtb)

Documentation

• Class name: Latent Lerp (mtb)
• Category: mtb/latent
• Output node: False

Performs linear interpolation between two latent vectors, blending them based on a specified ratio to create a new latent vector.

Input types

Required

• A
  • The first latent vector to be interpolated.
  • Comfy dtype: LATENT
  • Python dtype: Dict[str, torch.Tensor]
• B
  • The second latent vector to be interpolated.
  • Comfy dtype: LATENT
  • Python dtype: Dict[str, torch.Tensor]
• t
  • The interpolation ratio, determining the blend between the two latent vectors.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• latent
  • Comfy dtype: LATENT
  • The resulting latent vector after interpolation.
  • Python dtype: Tuple[Dict[str, torch.Tensor]]

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class MTB_LatentLerp:
    """Linear interpolation (blend) between two latent vectors"""

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "A": ("LATENT",),
                "B": ("LATENT",),
                "t": (
                    "FLOAT",
                    {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01},
                ),
            }
        }

    RETURN_TYPES = ("LATENT",)
    FUNCTION = "lerp_latent"

    CATEGORY = "mtb/latent"

    def lerp_latent(self, A, B, t):
        a = A.copy()
        b = B.copy()

        torch.lerp(a["samples"], b["samples"], t, out=a["samples"])

        return (a,)