Lerp 📅🅕🅝

Documentation

• Class name: Lerp
• Category: FizzNodes 📅🅕🅝/WaveNodes
• Output node: False

The Lerp node linearly interpolates between two values based on a given strength and the current frame within a specified number of images. It's designed to smoothly transition or blend values across a sequence, making it useful for animations or gradual changes.

Input types

Required

• num_Images
  • Specifies the total number of images in the sequence. It determines the interpolation step size, affecting the smoothness of the transition.
  • Comfy dtype: FLOAT
  • Python dtype: float
• strength
  • Defines the interpolation strength. It influences the range of output values, affecting how significantly the output changes across frames.
  • Comfy dtype: FLOAT
  • Python dtype: float
• current_frame
  • Indicates the current frame number in the sequence. It's used to calculate the specific interpolation value for that frame, determining the output at each step.
  • Comfy dtype: INT
  • Python dtype: int

Output types

• float
  • Comfy dtype: FLOAT
  • The floating-point result of the linear interpolation, representing the interpolated value at the current frame.
  • Python dtype: float
• int
  • Comfy dtype: INT
  • The integer representation of the interpolated value, providing a discretized output for scenarios requiring whole numbers.
  • Python dtype: int

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class Lerp:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {"num_Images": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 9999.0, "step": 1.0}),
                             "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
                             "current_frame": ("INT", {"default": 1.0, "min": 0.0, "max": 9999, "step": 1.0}),
                             }}
    RETURN_TYPES = ("FLOAT", "INT",)
    FUNCTION = "lerp"

    CATEGORY = "FizzNodes 📅🅕🅝/WaveNodes"

    def lerp(self, num_Images, strength, current_frame):
        step = strength/num_Images
        output = strength - (step * current_frame)
        return (output, int(output),)