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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
112 lines
2.2 KiB
Python
112 lines
2.2 KiB
Python
from ..core import BOOLEAN, CATEGORY, STRING, INT, FLOAT, STRING_ML
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class CBoolean:
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def __init__(self):
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pass
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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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"boolean": BOOLEAN,
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}
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}
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CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
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RETURN_TYPES = ("BOOLEAN",)
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RETURN_NAMES = ("boolean",)
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FUNCTION = "execute"
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def execute(self, boolean=True):
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return (boolean,)
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class CText:
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def __init__(self):
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pass
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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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"string": STRING,
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}
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}
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CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("string",)
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FUNCTION = "execute"
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def execute(self, string=""):
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return (string,)
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class CTextML:
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def __init__(self):
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pass
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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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"string": STRING_ML,
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}
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}
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CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("string",)
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FUNCTION = "execute"
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def execute(self, string=""):
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return (string,)
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class CInteger:
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def __init__(self):
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pass
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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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"int": INT,
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}
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}
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CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
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RETURN_TYPES = ("INT",)
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RETURN_NAMES = ("int",)
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FUNCTION = "execute"
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def execute(self, int=True):
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return (int,)
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class CFloat:
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def __init__(self):
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pass
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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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"float": FLOAT,
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}
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}
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CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
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RETURN_TYPES = ("FLOAT",)
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RETURN_NAMES = ("float",)
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FUNCTION = "execute"
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def execute(self, float=True):
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return (float,)
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