12345678910111213141516171819202122232425262728293031323334353637383940414243 |
- import os
- import sys
- from modules import modelloader, devices
- from modules.shared import opts
- from modules.upscaler import Upscaler, UpscalerData
- from modules.upscaler_utils import upscale_with_model
- class UpscalerHAT(Upscaler):
- def __init__(self, dirname):
- self.name = "HAT"
- self.scalers = []
- self.user_path = dirname
- super().__init__()
- for file in self.find_models(ext_filter=[".pt", ".pth"]):
- name = modelloader.friendly_name(file)
- scale = 4 # TODO: scale might not be 4, but we can't know without loading the model
- scaler_data = UpscalerData(name, file, upscaler=self, scale=scale)
- 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 HAT model {selected_model}: {e}", file=sys.stderr)
- return img
- model.to(devices.device_esrgan) # TODO: should probably be device_hat
- return upscale_with_model(
- model,
- img,
- tile_size=opts.ESRGAN_tile, # TODO: should probably be HAT_tile
- tile_overlap=opts.ESRGAN_tile_overlap, # TODO: should probably be HAT_tile_overlap
- )
- def load_model(self, path: str):
- if not os.path.isfile(path):
- raise FileNotFoundError(f"Model file {path} not found")
- return modelloader.load_spandrel_model(
- path,
- device=devices.device_esrgan, # TODO: should probably be device_hat
- expected_architecture='HAT',
- )
|