| 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"): |
| |
| 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, |
| ) |
|
|
