LoRA Hook Keyframes Interpolation 🎭🅐🅓

Documentation

• Class name: ADE_LoraHookKeyframeInterpolation
• Category: Animate Diff 🎭🅐🅓/conditioning/schedule lora hooks
• Output node: False

This node is designed for creating interpolated LoRA hook keyframes, allowing for the dynamic adjustment of model behavior over time. It facilitates the generation of a sequence of keyframes based on specified start and end percentages, strengths, and interpolation method, enabling fine-grained control over the temporal evolution of model parameters.

Input types

Required

• start_percent
  • Defines the starting percentage for the interpolation, setting the initial point in the sequence of generated keyframes.
  • Comfy dtype: FLOAT
  • Python dtype: float
• end_percent
  • Specifies the ending percentage for the interpolation, determining the final point in the sequence of generated keyframes.
  • Comfy dtype: FLOAT
  • Python dtype: float
• strength_start
  • Sets the initial strength value for the interpolation, marking the beginning of the strength adjustment range.
  • Comfy dtype: FLOAT
  • Python dtype: float
• strength_end
  • Determines the ending strength value for the interpolation, concluding the strength adjustment range.
  • Comfy dtype: FLOAT
  • Python dtype: float
• interpolation
  • Selects the interpolation method to be used for generating the sequence of keyframes, influencing the transition between start and end values.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: InterpolationMethod
• intervals
  • Specifies the number of intervals (or keyframes) to generate between the start and end points, affecting the granularity of the interpolation.
  • Comfy dtype: INT
  • Python dtype: int
• print_keyframes
  • Optional. Controls whether the generated keyframes are logged, aiding in debugging and visualization of the interpolation process.
  • Comfy dtype: BOOLEAN
  • Python dtype: bool

Optional

• prev_hook_kf
  • Optional. Allows for the inclusion of a previously defined set of LoRA hook keyframes to which the new interpolated keyframes will be added.
  • Comfy dtype: LORA_HOOK_KEYFRAMES
  • Python dtype: LoraHookKeyframeGroup

Output types

• HOOK_KF
  • Comfy dtype: LORA_HOOK_KEYFRAMES
  • Returns a group of LoRA hook keyframes, including both previously existing and newly interpolated keyframes, ready for application in model conditioning.
  • Python dtype: LoraHookKeyframeGroup

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class CreateLoraHookKeyframeInterpolation:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
                "end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}),
                "strength_start": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
                "strength_end": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
                "interpolation": (InterpolationMethod._LIST, ),
                "intervals": ("INT", {"default": 5, "min": 2, "max": 100, "step": 1}),
                "print_keyframes": ("BOOLEAN", {"default": False}),
            },
            "optional": {
                "prev_hook_kf": ("LORA_HOOK_KEYFRAMES",),
            }
        }

    RETURN_TYPES = ("LORA_HOOK_KEYFRAMES",)
    RETURN_NAMES = ("HOOK_KF",)
    CATEGORY = "Animate Diff 🎭🅐🅓/conditioning/schedule lora hooks"
    FUNCTION = "create_hook_keyframes"

    def create_hook_keyframes(self,
                              start_percent: float, end_percent: float,
                              strength_start: float, strength_end: float, interpolation: str, intervals: int,
                              prev_hook_kf: LoraHookKeyframeGroup=None, print_keyframes=False):
        if prev_hook_kf:
            prev_hook_kf = prev_hook_kf.clone()
        else:
            prev_hook_kf = LoraHookKeyframeGroup()
        percents = InterpolationMethod.get_weights(num_from=start_percent, num_to=end_percent, length=intervals, method=interpolation)
        strengths = InterpolationMethod.get_weights(num_from=strength_start, num_to=strength_end, length=intervals, method=interpolation)

        is_first = True
        for percent, strength in zip(percents, strengths):
            guarantee_steps = 0
            if is_first:
                guarantee_steps = 1
                is_first = False
            prev_hook_kf.add(LoraHookKeyframe(strength=strength, start_percent=percent, guarantee_steps=guarantee_steps))
            if print_keyframes:
                logger.info(f"LoraHookKeyframe - start_percent:{percent} = {strength}")
        return (prev_hook_kf,)