45 lines
1.6 KiB
Markdown
45 lines
1.6 KiB
Markdown
# Documentation
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- Class name: IPAdapterCombineWeights
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- Category: ipadapter/weights
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- Output node: False
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- Repo Ref: https://github.com/cubiq/ComfyUI_IPAdapter_plus.git
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IPAdapterCombineWeights节点支持权重调度，允许用户在不同时间段内调整图像的影响力，实现平滑的过渡和动画效果。这种方法比使用渐变蒙版更轻量且更高效
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# Output types
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- weights
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- weights输出代表了将指定方法应用于输入权重的结果。它包含了节点目的的精髓，提供了输入数据的合成形式，可以用于进一步的分析或模型训练。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- count
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- count输出代表了输入权重的数量。它是节点的一个重要属性，用于描述输入数据的规模和范围。
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- Comfy dtype: INT
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- Python dtype: int
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# Usage tips
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- Infra type: GPU
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# Source code
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```
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class IPAdapterCombineWeights:
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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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"weights_1": ("FLOAT", { "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05 }),
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"weights_2": ("FLOAT", { "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05 }),
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}}
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RETURN_TYPES = ("FLOAT", "INT")
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RETURN_NAMES = ("weights", "count")
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FUNCTION = "combine"
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CATEGORY = "ipadapter/utils"
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def combine(self, weights_1, weights_2):
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if not isinstance(weights_1, list):
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weights_1 = [weights_1]
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if not isinstance(weights_2, list):
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weights_2 = [weights_2]
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weights = weights_1 + weights_2
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return (weights, len(weights), )
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``` |