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| from modules import modelloader, devices, errors | |
| from modules.shared import opts | |
| from modules.upscaler import Upscaler, UpscalerData | |
| from modules.upscaler_utils import upscale_with_model | |
| class UpscalerESRGAN(Upscaler): | |
| def __init__(self, dirname): | |
| self.name = "ESRGAN" | |
| self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/ESRGAN.pth" | |
| self.model_name = "ESRGAN_4x" | |
| self.scalers = [] | |
| self.user_path = dirname | |
| super().__init__() | |
| model_paths = self.find_models(ext_filter=[".pt", ".pth"]) | |
| scalers = [] | |
| if len(model_paths) == 0: | |
| scaler_data = UpscalerData(self.model_name, self.model_url, self, 4) | |
| scalers.append(scaler_data) | |
| for file in model_paths: | |
| if file.startswith("http"): | |
| name = self.model_name | |
| else: | |
| name = modelloader.friendly_name(file) | |
| scaler_data = UpscalerData(name, file, self, 4) | |
| self.scalers.append(scaler_data) | |
| def do_upscale(self, img, selected_model): | |
| try: | |
| model = self.load_model(selected_model) | |
| except Exception: | |
| errors.report(f"Unable to load ESRGAN model {selected_model}", exc_info=True) | |
| return img | |
| model.to(devices.device_esrgan) | |
| return esrgan_upscale(model, img) | |
| def load_model(self, path: str): | |
| if path.startswith("http"): | |
| # TODO: this doesn't use `path` at all? | |
| filename = modelloader.load_file_from_url( | |
| url=self.model_url, | |
| model_dir=self.model_download_path, | |
| file_name=f"{self.model_name}.pth", | |
| ) | |
| else: | |
| filename = path | |
| return modelloader.load_spandrel_model( | |
| filename, | |
| device=('cpu' if devices.device_esrgan.type == 'mps' else None), | |
| expected_architecture='ESRGAN', | |
| ) | |
| def esrgan_upscale(model, img): | |
| return upscale_with_model( | |
| model, | |
| img, | |
| tile_size=opts.ESRGAN_tile, | |
| tile_overlap=opts.ESRGAN_tile_overlap, | |
| ) | |