66 lines
2.1 KiB
Markdown
66 lines
2.1 KiB
Markdown
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# Documentation
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- Class name: SaltDisplayAny
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- Category: SALT/Utility
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- Output node: True
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SaltDisplayAny节点旨在通用地显示任何类型的输入数据，将其转换为人类可读的格式，或者指示无法显示该数据类型。它支持广泛的数据类型，包括基本类型如字符串和数字，复杂数据结构如字典和列表，甚至PyTorch张量，使其成为数据可视化和调试的多功能实用工具。
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# Input types
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## Required
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- input_value
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- input_value参数接受任何数据类型，这使得该节点在显示各种形式的数据时具有高度的通用性。它决定了将被转换为可读格式或被指示为不可显示的内容，具体取决于数据类型。
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- Comfy dtype: *
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- Python dtype: AnyType
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# Output types
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- output
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- output参数提供输入数据的人类可读表示，或者一条指示无法显示该数据类型的消息。它对于以用户友好的方式可视化数据至关重要。
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- Comfy dtype: *
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- Python dtype: str
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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 SaltDisplayAny:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"input_value": (WILDCARD, {}),
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},
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}
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RETURN_TYPES = (WILDCARD, )
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RETURN_NAMES = ("output", )
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WEB_DIRECTORY = "./web"
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FUNCTION = "main"
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OUTPUT_NODE = True
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CATEGORY = "SALT/Utility"
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def main(self, input_value=None):
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if input_value is None:
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return {"ui": {"text":""}, "result": ("",)}
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if isinstance(input_value, (str, int, float, bool)):
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value = str(input_value)
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elif isinstance(input_value, (dict, list)):
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try:
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value = json.dumps(input_value)
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except Exception:
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value = "Data could not be serialized."
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elif isinstance(input_value, torch.Tensor):
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value = str(input_value.shape)
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else:
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value = f"Data type {type(input_value).__name__} cannot be displayed"
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return {"ui": {"text": value}, "result": (input_value,)}
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```
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