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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>
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
"""The Conmtext big node."""
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from .constants import get_category, get_name
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from .context_utils import (ALL_CTX_OPTIONAL_INPUTS, ALL_CTX_RETURN_NAMES, ALL_CTX_RETURN_TYPES,
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new_context, get_context_return_tuple)
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class RgthreeBigContext:
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"""The Context Big node.
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This context node will expose all context fields as inputs and outputs. It is backwards compatible
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with other context nodes and can be intertwined with them.
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"""
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NAME = get_name("Context Big")
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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": ALL_CTX_OPTIONAL_INPUTS,
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"hidden": {},
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}
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RETURN_TYPES = ALL_CTX_RETURN_TYPES
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RETURN_NAMES = ALL_CTX_RETURN_NAMES
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FUNCTION = "convert"
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def convert(self, base_ctx=None, **kwargs): # pylint: disable = missing-function-docstring
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ctx = new_context(base_ctx, **kwargs)
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return get_context_return_tuple(ctx)
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