| 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) |
|
|
