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CavinHuang-comfyui-nodes-docs/docs/ADE_LoraHookKeyframeFromStrengthList.md

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# LoRA Hook Keyframes From List 🎭🅐🅓
## Documentation
- Class name: ADE_LoraHookKeyframeFromStrengthList
- Category: Animate Diff 🎭🅐🅓/conditioning/schedule lora hooks
- Output node: False
- Repo Ref: https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved.git
此节点用于根据强度列表创建一系列LoRA挂钩关键帧,从而动态调整模型行为的多个步骤。它允许自定义关键帧属性,如强度和起始百分比,从而精确控制动画或转换过程。
## Input types
### Required
- strengths_float
- 指定序列中每个关键帧的强度。此参数可以接受单个浮点值或浮点值列表,允许灵活定义每个关键帧的强度。
- Comfy dtype: FLOAT
- Python dtype: Union[float, List[float]]
- start_percent
- 定义关键帧序列的起始百分比,设置动画或转换的起始点。
- Comfy dtype: FLOAT
- Python dtype: float
- end_percent
- 设置关键帧序列的结束百分比,标记动画或转换的终点。
- Comfy dtype: FLOAT
- Python dtype: float
- print_keyframes
- 一个布尔标志,启用时会将每个关键帧的详细信息打印到日志中,有助于调试和可视化关键帧序列。
- Comfy dtype: BOOLEAN
- Python dtype: bool
### Optional
- prev_hook_kf
- 一个可选参数,允许从前一个LoRA挂钩关键帧序列继续,启用序列之间的无缝过渡。
- Comfy dtype: LORA_HOOK_KEYFRAMES
- Python dtype: LoraHookKeyframeGroup
## Output types
- HOOK_KF
- Comfy dtype: LORA_HOOK_KEYFRAMES
- 返回一组LoRA挂钩关键帧,表示将应用于模型的一系列调整。
- Python dtype: LoraHookKeyframeGroup
## Usage tips
- Infra type: CPU
- Common nodes: unknown
## Source code
```python
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,)