| f infer_params(state_dict): | |
| # this code is copied from https://github.com/victorca25/iNNfer | |
| scale2x = 0 | |
| scalemin = 6 | |
| n_uplayer = 0 | |
| plus = False | |
| for block in list(state_dict): | |
| parts = block.split(".") | |
| n_parts = len(parts) | |
| if n_parts == 5 and parts[2] == "sub": | |
| nb = int(parts[3]) | |
| elif n_parts == 3: | |
| part_num = int(parts[1]) | |
| if (part_num > scalemin | |
| and parts[0] == "model" | |
| and parts[2] == "weight"): | |
| scale2x += 1 | |
| if part_num > n_uplayer: | |
| n_uplayer = part_num | |
| out_nc = state_dict[block].shape[0] | |
| if not plus and "conv1x1" in block: | |
| plus = True | |
| nf = state_dict["model.0.weight"].shape[0] | |
| in_nc = state_dict["model.0.weight"].shape[1] | |
| out_nc = out_nc | |
| scale = 2 ** scale2x | |
| return in_nc, out_nc, nf, nb, plus, scale | |
| 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 as e: | |
| print(f"Unable to load ESRGAN model {selected_model}: {e}", file=sys.stderr) | |
| return img | |
| model.to(devices.device_esrgan) | |
| img = esrgan_upscale(model, img) | |
| return 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 | |
| state_ |