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import os.path |
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from typing import Optional |
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from torch.hub import download_url_to_file |
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from urllib.parse import urlparse |
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import requests |
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from tqdm import tqdm |
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MODELS_URL = { |
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"appearance_feature_extractor": "https://huggingface.co/Kijai/LivePortrait_safetensors/resolve/main/appearance_feature_extractor.safetensors", |
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"motion_extractor": "https://huggingface.co/Kijai/LivePortrait_safetensors/resolve/main/motion_extractor.safetensors", |
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"warping_module": "https://huggingface.co/Kijai/LivePortrait_safetensors/resolve/main/warping_module.safetensors", |
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"spade_generator": "https://huggingface.co/Kijai/LivePortrait_safetensors/resolve/main/spade_generator.safetensors", |
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"stitching_retargeting_module": "https://huggingface.co/Kijai/LivePortrait_safetensors/resolve/main/stitching_retargeting_module.safetensors", |
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"face_yolov8n": "https://huggingface.co/Bingsu/adetailer/resolve/main/face_yolov8n.pt" |
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} |
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def download_model( |
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file_path: str, |
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url: str, |
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) -> Optional[str]: |
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if os.path.exists(file_path): |
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return None |
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try: |
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print(f'{os.path.normpath(file_path)} is not detected. Downloading model...') |
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download_url_to_file(url, file_path, progress=True) |
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|
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except requests.exceptions.RequestException as e: |
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print( |
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f"Model download has failed. Please download manually from: {url}\n" |
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f"and place it in {file_path}" |
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) |
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raise e |
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except Exception as e: |
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print('An unexpected error occurred during model download.') |
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raise e |
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