| import os | |
| from modules import modelloader, devices, errors | |
| from modules.shared import opts, cmd_opts | |
| from modules.upscaler import Upscaler, UpscalerData | |
| from modules.upscaler_utils import upscale_with_model | |
| class UpscalerGRL(Upscaler): | |
| def __init__(self, dirname): | |
| self.name = "GRL" | |
| self.scalers = [] | |
| self.user_path = dirname | |
| super().__init__() | |
| for file in self.find_models(ext_filter=[".pt", ".pth", ".safetensors"]): | |
| name = modelloader.friendly_name(file) | |
| scale = None | |
| scaler_data = UpscalerData(name, file, upscaler=self, scale=scale) | |
| 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 GRL model {selected_model}", exc_info=True) | |
| return img | |
| model.to(devices.device_grl) | |
| return grl_upscale(model, img) | |
| def load_model(self, path: str): | |
| if not os.path.isfile(path): | |
| raise FileNotFoundError(f"Model file {path} not found") | |
| else: | |
| filename = path | |
| return modelloader.load_spandrel_model( | |
| filename, | |
| device=('cpu' if devices.device_grl.type == 'mps' else None), | |
| prefer_half=(not cmd_opts.no_half and not cmd_opts.upcast_sampling), | |
| expected_architecture='GRL', | |
| ) | |
| def grl_upscale(model, img): | |
| return upscale_with_model( | |
| model, | |
| img, | |
| tile_size=opts.GRL_tile, | |
| tile_overlap=opts.GRL_tile_overlap, | |
| ) | |