| from __future__ import annotations | |
| import torch | |
| import os | |
| from modules import ( | |
| devices, | |
| errors, | |
| face_restoration, | |
| face_restoration_utils, | |
| modelloader, | |
| shared, | |
| ) | |
| codeformer: face_restoration.FaceRestoration | None = None | |
| class FaceRestorerCodeFormer(face_restoration_utils.CommonFaceRestoration): | |
| def name(self): | |
| return "CodeFormer" | |
| 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/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth", | |
| command_path=self.model_path, | |
| download_name="codeformer-v0.1.0.pth", | |
| ext_filter=[".pth"], | |
| ): | |
| return modelloader.load_spandrel_model( | |
| model_path, | |
| device=devices.device_codeformer, | |
| expected_architecture="CodeFormer", | |
| ).model | |
| raise ValueError("No CodeFormer Model Found") | |
| def restore(self, np_image, w: float | None = None): | |
| if w is None: | |
| w = getattr(shared.opts, "code_former_weight", 0.5) | |
| def restore_face(cropped_face_t): | |
| assert self.net is not None | |
| return self.net(cropped_face_t, w=w, adain=True)[0] | |
| return self.restore_with_helper(np_image, restore_face) | |
| def setup_model(dirname: str) -> None: | |
| global codeformer | |
| try: | |
| codeformer = FaceRestorerCodeFormer(dirname) | |
| shared.face_restorers.append(codeformer) | |
| except Exception: | |
| errors.report("Error setting up CodeFormer", exc_info=True) | |