46 lines
1.3 KiB
Markdown
46 lines
1.3 KiB
Markdown
# Documentation
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- Class name: RemoveControlNet
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- Category: InspirePack/Util
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- Output node: False
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- Repo Ref: https://github.com/ltdrdata/ComfyUI-Inspire-Pack.git
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该节点旨在通过移除与控制相关的元素来处理和精炼输入数据，从而提高数据集的清晰度和专注度。
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# Input types
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## Required
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- conditioning
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- 调节参数至关重要，因为它是节点操作的主要输入。它包含将被处理以实现期望结果的数据。
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- Comfy dtype: CONDITIONING
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- Python dtype: List[Tuple[str, dict]]
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# Output types
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- conditioning
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- 输出是输入数据的精炼版本，去除了控制元素，这对于进一步的分析或处理至关重要。
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- Comfy dtype: CONDITIONING
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- Python dtype: List[Tuple[str, dict]]
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# Usage tips
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- Infra type: CPU
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# Source code
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```
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class RemoveControlNet:
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@classmethod
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def INPUT_TYPES(s):
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return {'required': {'conditioning': ('CONDITIONING',)}}
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RETURN_TYPES = ('CONDITIONING',)
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FUNCTION = 'doit'
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CATEGORY = 'InspirePack/Util'
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def doit(self, conditioning):
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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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if 'control' in n[1]:
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del n[1]['control']
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if 'control_apply_to_uncond' in n[1]:
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del n[1]['control_apply_to_uncond']
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c.append(n)
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return (c,)
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``` |