53 lines
1.9 KiB
Markdown
53 lines
1.9 KiB
Markdown
# Set Model LoRA Hook 🎭🅐🅓
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## Documentation
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- Class name: ADE_AttachLoraHookToConditioning
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- Category: Animate Diff 🎭🅐🅓/conditioning/single cond ops
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- Output node: False
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- Repo Ref: https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved.git
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此节点旨在将LoRA挂钩附加到条件数据上，从而根据指定的LoRA挂钩动态修改模型行为。它在生成模型的条件过程中，尤其是在动画和差分渲染的背景下，起着定制和控制的关键作用。
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## Input types
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### Required
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- conditioning
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- 要附加LoRA挂钩的条件数据。此数据决定了模型的行为和输出，附加LoRA挂钩可以进行动态调整。
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- Comfy dtype: CONDITIONING
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- Python dtype: List[Tuple[Any, Dict[str, Any]]]
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- lora_hook
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- 要附加到条件数据的LoRA挂钩。此挂钩使得在运行时修改模型参数成为可能，从而增强了对生成过程的控制和定制。
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- Comfy dtype: LORA_HOOK
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- Python dtype: LoraHookGroup
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## Output types
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- conditioning
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- Comfy dtype: CONDITIONING
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- 附加了LoRA挂钩的修改后条件数据，使得模型行为可以动态调整。
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- Python dtype: List[Tuple[Any, Dict[str, Any]]]
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## Usage tips
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- Infra type: CPU
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- Common nodes: unknown
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## Source code
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```python
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class SetModelLoraHook:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"conditioning": ("CONDITIONING",),
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"lora_hook": ("LORA_HOOK",),
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}
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}
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RETURN_TYPES = ("CONDITIONING",)
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CATEGORY = "Animate Diff 🎭🅐🅓/conditioning/single cond ops"
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FUNCTION = "attach_lora_hook"
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def attach_lora_hook(self, conditioning, lora_hook: LoraHookGroup):
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c = []
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for t in conditioning:
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n = [t[0], t[1].copy()]
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n[1]["lora_hook"] = lora_hook
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c.append(n)
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return (c, ) |