54 lines
2.2 KiB
Python
54 lines
2.2 KiB
Python
# code based on pysssss repo
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import importlib.util
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import glob
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import os
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import sys
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from .nnodes import init, get_ext_dir,check_and_install,downloader
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import folder_paths
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import traceback
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NODE_CLASS_MAPPINGS = {}
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NODE_DISPLAY_NAME_MAPPINGS = {}
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if init():
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py = get_ext_dir("py")
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files = glob.glob("*.py", root_dir=py, recursive=False)
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check_and_install('py-cpuinfo',"cpuinfo")
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check_and_install('gitpython','git')
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check_and_install('moviepy')
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check_and_install("opencv-python","cv2")
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check_and_install('scikit-build',"skbuild")
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#LLAMA DEPENTENCIES
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check_and_install('typing')
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check_and_install('diskcache')
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check_and_install('llama_cpp')
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#git clone https://github.com/hzwer/Practical-RIFE.git
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from git import Repo
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if not os.path.exists(os.path.join(folder_paths.folder_names_and_paths["custom_nodes"][0][0],"ComfyUI-N-Nodes","libs","rifle")):
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Repo.clone_from("https://github.com/hzwer/Practical-RIFE.git", os.path.join(folder_paths.folder_names_and_paths["custom_nodes"][0][0],"ComfyUI-N-Nodes","libs","rifle"))
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#if train_log folder not exists
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if not os.path.exists(os.path.join(folder_paths.folder_names_and_paths["custom_nodes"][0][0],"ComfyUI-N-Nodes","libs","rifle","train_log")):
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downloader("https://github.com/Nuked88/DreamingAI/raw/main/RIFE_trained_model_v4.7.zip")
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for file in files:
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try:
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name = os.path.splitext(file)[0]
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spec = importlib.util.spec_from_file_location(name, os.path.join(py, file))
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module = importlib.util.module_from_spec(spec)
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sys.modules[name] = module
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spec.loader.exec_module(module)
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if hasattr(module, "NODE_CLASS_MAPPINGS") and getattr(module, "NODE_CLASS_MAPPINGS") is not None:
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NODE_CLASS_MAPPINGS.update(module.NODE_CLASS_MAPPINGS)
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if hasattr(module, "NODE_DISPLAY_NAME_MAPPINGS") and getattr(module, "NODE_DISPLAY_NAME_MAPPINGS") is not None:
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NODE_DISPLAY_NAME_MAPPINGS.update(module.NODE_DISPLAY_NAME_MAPPINGS)
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except Exception as e:
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traceback.print_exc()
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__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"] |