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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,
)
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