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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>
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
"""The Context Switch (Big)."""
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from .constants import get_category, get_name
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from .context_utils import (ORIG_CTX_RETURN_TYPES, ORIG_CTX_RETURN_NAMES, merge_new_context,
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get_orig_context_return_tuple, is_context_empty)
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from .utils import FlexibleOptionalInputType
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class RgthreeContextMerge:
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"""The Context Merge node."""
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NAME = get_name("Context Merge")
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CATEGORY = get_category()
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@classmethod
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def INPUT_TYPES(cls): # pylint: disable = invalid-name, missing-function-docstring
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return {
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"required": {},
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"optional": FlexibleOptionalInputType("RGTHREE_CONTEXT"),
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}
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RETURN_TYPES = ORIG_CTX_RETURN_TYPES
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RETURN_NAMES = ORIG_CTX_RETURN_NAMES
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FUNCTION = "merge"
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def get_return_tuple(self, ctx):
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"""Returns the context data. Separated so it can be overridden."""
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return get_orig_context_return_tuple(ctx)
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def merge(self, **kwargs):
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"""Merges any non-null passed contexts; later ones overriding earlier."""
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ctxs = [
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value for key, value in kwargs.items()
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if key.startswith('ctx_') and not is_context_empty(value)
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]
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ctx = merge_new_context(*ctxs)
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return self.get_return_tuple(ctx)
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