adds hires steps to x/y plot and fixes total_steps calculation

    AxisOption("Var. seed", int, apply_field("subseed")),

    AxisOption("Var. strength", float, apply_field("subseed_strength")),

    AxisOption("Steps", int, apply_field("steps")),

    AxisOptionTxt2Img("Hires steps", int, apply_field("hr_second_pass_steps")),

    AxisOption("CFG Scale", float, apply_field("cfg_scale")),

    AxisOption("Prompt S/R", str, apply_prompt, format_value=format_value),

    AxisOption("Prompt order", str_permutations, apply_order, format_value=format_value_join_list),

            total_steps = p.steps * len(xs) * len(ys)

        if isinstance(p, StableDiffusionProcessingTxt2Img) and p.enable_hr:

            if x_opt.label == "Hires steps":

                total_steps += sum(xs) * len(ys)

            elif y_opt.label == "Hires steps":

                total_steps += sum(ys) * len(xs)

            elif p.hr_second_pass_steps:

                total_steps += p.hr_second_pass_steps * len(xs) * len(ys)

            else:

                total_steps *= 2

        print(f"X/Y plot will create {len(xs) * len(ys) * p.n_iter} images on a {len(xs)}x{len(ys)} grid. (Total steps to process: {total_steps * p.n_iter})")

        shared.total_tqdm.updateTotal(total_steps * p.n_iter)

        total_steps *= p.n_iter

        image_cell_count = p.n_iter * p.batch_size

        cell_console_text = f"; {image_cell_count} images per cell" if image_cell_count > 1 else ""

        print(f"X/Y plot will create {len(xs) * len(ys) * image_cell_count} images on a {len(xs)}x{len(ys)} grid{cell_console_text}. (Total steps to process: {total_steps})")

        shared.total_tqdm.updateTotal(total_steps)

        grid_infotext = [None]