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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
from modules_forge.forge_util import prepare_free_memory
class UpscalerDAT(Upscaler):
def __init__(self, dirname):
self.name = "DAT"
self.user_path = dirname
self.scalers = []
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)
# for model in get_dat_models(self):
# if model.name in opts.dat_enabled_models:
# self.scalers.append(model)
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 DAT model {selected_model}", exc_info=True)
return img
model.to(devices.device_dat)
return dat_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_dat.type == 'mps' else None),
prefer_half=(not cmd_opts.no_half and not cmd_opts.upcast_sampling),
expected_architecture='DAT',
)
def dat_upscale(model, img):
return upscale_with_model(
model,
img,
tile_size=opts.DAT_tile,
tile_overlap=opts.DAT_tile_overlap,
)
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