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LoRA Hook Keyframes From List 🎭🅐🅓

Documentation

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

This node is designed to create a sequence of LoRA hook keyframes based on a list of strengths, facilitating the dynamic adjustment of model behavior over a series of steps. It allows for the customization of keyframe properties such as strength and start percentage, enabling precise control over the animation or transformation process.

Input types

Required

  • strengths_float
    • Specifies the strengths for each keyframe in the sequence. This parameter can accept either a single float value or a list of float values, allowing for flexibility in defining the intensity of each keyframe.
    • Comfy dtype: FLOAT
    • Python dtype: Union[float, List[float]]
  • start_percent
    • Defines the starting percentage for the keyframe sequence, setting the initial point of the animation or transformation.
    • Comfy dtype: FLOAT
    • Python dtype: float
  • end_percent
    • Sets the ending percentage for the keyframe sequence, marking the final point of the animation or transformation.
    • Comfy dtype: FLOAT
    • Python dtype: float
  • print_keyframes
    • A boolean flag that, when enabled, prints the details of each keyframe to the log, aiding in debugging and visualization of the keyframe sequence.
    • Comfy dtype: BOOLEAN
    • Python dtype: bool

Optional

  • prev_hook_kf
    • An optional parameter that allows for the continuation from a previous sequence of LoRA hook keyframes, enabling seamless transitions between sequences.
    • Comfy dtype: LORA_HOOK_KEYFRAMES
    • Python dtype: LoraHookKeyframeGroup

Output types

  • HOOK_KF
    • Comfy dtype: LORA_HOOK_KEYFRAMES
    • Returns a group of LoRA hook keyframes, representing the sequence of adjustments to be applied to the model.
    • Python dtype: LoraHookKeyframeGroup

Usage tips

  • Infra type: CPU
  • Common nodes: unknown

Source code

class CreateLoraHookKeyframeFromStrengthList:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "strengths_float": ("FLOAT", {"default": -1, "min": -1, "step": 0.001, "forceInput": True}),
                "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}),
                "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, strengths_float: Union[float, list[float]],
                              start_percent: float, end_percent: float,
                              prev_hook_kf: LoraHookKeyframeGroup=None, print_keyframes=False):
        if prev_hook_kf:
            prev_hook_kf = prev_hook_kf.clone()
        else:
            prev_hook_kf = LoraHookKeyframeGroup()
        if type(strengths_float) in (float, int):
            strengths_float = [float(strengths_float)]
        elif isinstance(strengths_float, Iterable):
            pass
        else:
            raise Exception(f"strengths_floast must be either an interable input or a float, but was {type(strengths_float).__repr__}.")
        percents = InterpolationMethod.get_weights(num_from=start_percent, num_to=end_percent, length=len(strengths_float), method=InterpolationMethod.LINEAR)

        is_first = True
        for percent, strength in zip(percents, strengths_float):
            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,)