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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 | |
from modules_forge.utils import prepare_free_memory | |
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): | |
prepare_free_memory() | |
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, | |
) | |