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Update roop/processors/frame/face_enhancer.py
Browse files
roop/processors/frame/face_enhancer.py
CHANGED
@@ -2,6 +2,9 @@ from typing import Any, List, Callable
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import cv2
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import threading
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import gfpgan
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import roop.globals
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import roop.processors.frame.core
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@@ -9,7 +12,6 @@ from roop.core import update_status
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from roop.face_analyser import get_one_face
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from roop.typing import Frame, Face
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from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video
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import torch
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FACE_ENHANCER = None
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THREAD_SEMAPHORE = threading.Semaphore()
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@@ -17,27 +19,27 @@ THREAD_LOCK = threading.Lock()
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NAME = 'ROOP.FACE-ENHANCER'
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frame_name = 'face_enhancer'
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if torch.cuda.is_available():
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device='cuda'
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else:
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device='cpu'
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def get_face_enhancer() -> Any:
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global FACE_ENHANCER
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with THREAD_LOCK:
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if FACE_ENHANCER is None:
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FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1,device=device)
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return FACE_ENHANCER
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def pre_check() -> bool:
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# conditional_download(download_directory_path, ['https://huggingface.co/henryruhs/roop/resolve/main/GFPGANv1.4.pth'])
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conditional_download(download_directory_path, ['https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth'])
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return True
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import cv2
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import threading
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import gfpgan
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import os
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from huggingface_hub import hf_hub_download # Thêm import này
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import torch
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import roop.globals
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import roop.processors.frame.core
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from roop.face_analyser import get_one_face
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from roop.typing import Frame, Face
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from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video
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FACE_ENHANCER = None
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THREAD_SEMAPHORE = threading.Semaphore()
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NAME = 'ROOP.FACE-ENHANCER'
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frame_name = 'face_enhancer'
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# Lấy token từ biến môi trường
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token = os.getenv('HF_TOKEN')
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if torch.cuda.is_available():
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device = 'cuda'
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else:
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device = 'cpu'
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def get_face_enhancer() -> Any:
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global FACE_ENHANCER
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with THREAD_LOCK:
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if FACE_ENHANCER is None:
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# Tải model từ Hugging Face Hub
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model_path = hf_hub_download(repo_id="Arrcttacsrks/TencentARC_GFPGAN", filename="GFPGANv1.4.pth", token=token)
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FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1, device=device) # type: ignore[attr-defined]
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return FACE_ENHANCER
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def pre_check() -> bool:
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# Không cần điều kiện download nữa vì đã tải mô hình trực tiếp từ Hugging Face Hub
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return True
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