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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>
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
"""
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@author: Dr.Lt.Data
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@title: Inspire Pack
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@nickname: Inspire Pack
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@description: This extension provides various nodes to support Lora Block Weight, Regional Nodes, Backend Cache, Prompt Utils, List Utils and the Impact Pack.
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"""
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import importlib
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import logging
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version_code = [1, 23]
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version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
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logging.info(f"### Loading: ComfyUI-Inspire-Pack ({version_str})")
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node_list = [
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"lora_block_weight",
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"segs_support",
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"a1111_compat",
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"prompt_support",
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"inspire_server",
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"image_util",
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"regional_nodes",
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"sampler_nodes",
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"backend_support",
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"list_nodes",
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"conditioning_nodes",
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"model_nodes",
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"util_nodes"
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]
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NODE_CLASS_MAPPINGS = {}
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NODE_DISPLAY_NAME_MAPPINGS = {}
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for module_name in node_list:
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imported_module = importlib.import_module(".inspire.{}".format(module_name), __name__)
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NODE_CLASS_MAPPINGS = {**NODE_CLASS_MAPPINGS, **imported_module.NODE_CLASS_MAPPINGS}
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NODE_DISPLAY_NAME_MAPPINGS = {**NODE_DISPLAY_NAME_MAPPINGS, **imported_module.NODE_DISPLAY_NAME_MAPPINGS}
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WEB_DIRECTORY = "./js"
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__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
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