| from __future__ import annotations | |
| import torch | |
| import os | |
| from modules import ( | |
| devices, | |
| errors, | |
| face_restoration, | |
| face_restoration_utils, | |
| modelloader, | |
| shared, | |
| ) | |
| gfpgan_face_restorer: face_restoration.FaceRestoration | None = None | |
| class FaceRestorerGFPGAN(face_restoration_utils.CommonFaceRestoration): | |
| def name(self): | |
| return "GFPGAN" | |
| def load_net(self) -> torch.nn.Module: | |
| os.makedirs(self.model_path, exist_ok=True) | |
| for model_path in modelloader.load_models( | |
| model_path=self.model_path, | |
| model_url="https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth", | |
| command_path=self.model_path, | |
| download_name="GFPGANv1.4.pth", | |
| ext_filter=[".pth"], | |
| ): | |
| return modelloader.load_spandrel_model( | |
| model_path, | |
| device=devices.device_gfpgan, | |
| expected_architecture="GFPGAN", | |
| ).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) | |
| print("WARNING: GFPGAN face restorer was 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) | |