Fixes, cleanup.

        print("Foo")

        down_sample_rate = target_scale / 4

        print(f"Downsample rate is {down_sample_rate}")

        width_downsampled_pre = width_og * down_sample_rate

        height_downsampled_pre = height_og * down_sample_method

        wd = width_og * down_sample_rate

        hd = height_og * down_sample_rate

        width_downsampled_pre = int(wd)

        height_downsampled_pre = int(hd)

        if down_sample_rate != 1:

            print(

    for cls in Upscaler.__subclasses__():

        name = cls.__name__

        module_name = cls.__module__

        print(f"Class: {name} and {module_name}")

        module = importlib.import_module(module_name)

        class_ = getattr(module, name)

        cmd_name = f"{name.lower().replace('upscaler', '')}-models-path"

        print(f"CMD Name: {cmd_name}")

        opt_string = None

        try:

            opt_string = shared.opts.__getattr__(cmd_name)

            pass

        scaler = class_(opt_string)

        for child in scaler.scalers:

            print(f"Appending {child.name}")

            datas.append(child)

    shared.sd_upscalers = datas

    # for scaler in subclasses:

    #     print(f"Found scaler: {type(scaler).__name__}")

    #     try:

    #         scaler = scaler()

    #         for child in scaler.scalers:

    #             print(f"Appending {child.name}")

    #             datas.append[child]

    #     except:

    #         pass

    # shared.sd_upscalers = datas

    def load_model(self, path, scale=4):

        if "http" in path:

            dl_name = "%s%s" % (self.name.replace(" ", "_"), ".pth")

            dl_name = "%s%s" % (self.model_name.replace(" ", "_"), ".pth")

            filename = load_file_from_url(url=path, model_dir=self.model_path, file_name=dl_name, progress=True)

        else:

            filename = path