def METHOD_NAME(self):
    remote_model_path = "https://huggingface.co/lllyasviel/Annotators/resolve/main/netG.pth"
    modelpath = os.path.join(self.model_dir, "netG.pth")
    if not os.path.exists(modelpath):
        from basicsr.utils.download_util import load_file_from_url
        load_file_from_url(remote_model_path, model_dir=self.model_dir)
    norm_layer = functools.partial(nn.InstanceNorm2d, affine=False, track_running_stats=False)
    net = UnetGenerator(3, 1, 8, 64, norm_layer=norm_layer, use_dropout=False)
    ckpt = torch.load(modelpath)
    for key in list(ckpt.keys()):
        if 'module.' in key:
            ckpt[key.replace('module.', '')] = ckpt[key]
            del ckpt[key]
    net.load_state_dict(ckpt)
    net.eval()
    self.model = net.to(self.device)