75 lines
3.0 KiB
Python
75 lines
3.0 KiB
Python
import sys
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import PIL.Image
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import modules.upscaler
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from modules import devices, errors, modelloader, script_callbacks, shared, upscaler_utils
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class UpscalerScuNET(modules.upscaler.Upscaler):
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def __init__(self, dirname):
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self.name = "ScuNET"
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self.model_name = "ScuNET GAN"
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self.model_name2 = "ScuNET PSNR"
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self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_gan.pth"
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self.model_url2 = "https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_psnr.pth"
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self.user_path = dirname
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super().__init__()
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model_paths = self.find_models(ext_filter=[".pth"])
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scalers = []
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add_model2 = True
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for file in model_paths:
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if file.startswith("http"):
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name = self.model_name
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else:
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name = modelloader.friendly_name(file)
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if name == self.model_name2 or file == self.model_url2:
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add_model2 = False
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try:
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scaler_data = modules.upscaler.UpscalerData(name, file, self, 4)
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scalers.append(scaler_data)
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except Exception:
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errors.report(f"Error loading ScuNET model: {file}", exc_info=True)
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if add_model2:
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scaler_data2 = modules.upscaler.UpscalerData(self.model_name2, self.model_url2, self)
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scalers.append(scaler_data2)
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self.scalers = scalers
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def do_upscale(self, img: PIL.Image.Image, selected_file):
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devices.torch_gc()
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try:
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model = self.load_model(selected_file)
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except Exception as e:
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print(f"ScuNET: Unable to load model from {selected_file}: {e}", file=sys.stderr)
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return img
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img = upscaler_utils.upscale_2(
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img,
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model,
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tile_size=shared.opts.SCUNET_tile,
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tile_overlap=shared.opts.SCUNET_tile_overlap,
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scale=1, # ScuNET is a denoising model, not an upscaler
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desc='ScuNET',
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)
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devices.torch_gc()
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return img
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def load_model(self, path: str):
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device = devices.get_device_for('scunet')
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if path.startswith("http"):
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# TODO: this doesn't use `path` at all?
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filename = modelloader.load_file_from_url(self.model_url, model_dir=self.model_download_path, file_name=f"{self.name}.pth")
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else:
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filename = path
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return modelloader.load_spandrel_model(filename, device=device, expected_architecture='SCUNet')
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def on_ui_settings():
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import gradio as gr
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shared.opts.add_option("SCUNET_tile", shared.OptionInfo(256, "Tile size for SCUNET upscalers.", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}, section=('upscaling', "Upscaling")).info("0 = no tiling"))
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shared.opts.add_option("SCUNET_tile_overlap", shared.OptionInfo(8, "Tile overlap for SCUNET upscalers.", gr.Slider, {"minimum": 0, "maximum": 64, "step": 1}, section=('upscaling', "Upscaling")).info("Low values = visible seam"))
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script_callbacks.on_ui_settings(on_ui_settings)
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