| from __future__ import annotations
|
|
|
| import logging
|
| import os
|
|
|
| import torch
|
|
|
| from modules import (
|
| devices,
|
| errors,
|
| face_restoration,
|
| face_restoration_utils,
|
| modelloader,
|
| shared,
|
| )
|
|
|
| logger = logging.getLogger(__name__)
|
| model_url = "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth"
|
| model_download_name = "GFPGANv1.4.pth"
|
| gfpgan_face_restorer: face_restoration.FaceRestoration | None = None
|
|
|
|
|
| class FaceRestorerGFPGAN(face_restoration_utils.CommonFaceRestoration):
|
| def name(self):
|
| return "GFPGAN"
|
|
|
| def get_device(self):
|
| return devices.device_gfpgan
|
|
|
| def load_net(self) -> torch.Module:
|
| for model_path in modelloader.load_models(
|
| model_path=self.model_path,
|
| model_url=model_url,
|
| command_path=self.model_path,
|
| download_name=model_download_name,
|
| ext_filter=['.pth'],
|
| ):
|
| if 'GFPGAN' in os.path.basename(model_path):
|
| model = modelloader.load_spandrel_model(
|
| model_path,
|
| device=self.get_device(),
|
| expected_architecture='GFPGAN',
|
| ).model
|
| model.different_w = True
|
| return model
|
| raise ValueError("No GFPGAN model found")
|
|
|
| def restore(self, np_image):
|
| def restore_face(cropped_face_t):
|
| assert self.net is not None
|
| return self.net(cropped_face_t, return_rgb=False)[0]
|
|
|
| return self.restore_with_helper(np_image, restore_face)
|
|
|
|
|
| def gfpgan_fix_faces(np_image):
|
| if gfpgan_face_restorer:
|
| return gfpgan_face_restorer.restore(np_image)
|
| logger.warning("GFPGAN face restorer not set up")
|
| return np_image
|
|
|
|
|
| def setup_model(dirname: str) -> None:
|
| global gfpgan_face_restorer
|
|
|
| try:
|
| face_restoration_utils.patch_facexlib(dirname)
|
| gfpgan_face_restorer = FaceRestorerGFPGAN(model_path=dirname)
|
| shared.face_restorers.append(gfpgan_face_restorer)
|
| except Exception:
|
| errors.report("Error setting up GFPGAN", exc_info=True)
|
|
|
