remove command line option

parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers")

parser.add_argument("--no-hashing", action='store_true', help="disable sha256 hashing of checkpoints to help loading performance", default=False)

parser.add_argument("--no-download-sd-model", action='store_true', help="don't download SD1.5 model even if no model is found in --ckpt-dir", default=False)

parser.add_argument("--token-merging", action='store_true', help="Provides speed and memory improvements by merging redundant tokens. This has a more pronounced effect on higher resolutions.", default=False)

parser.add_argument('--subpath', type=str, help='customize the subpath for gradio, use with reverse proxy')

        "Conditional mask weight": getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) if p.is_using_inpainting_conditioning else None,

        "Clip skip": None if clip_skip <= 1 else clip_skip,

        "ENSD": None if opts.eta_noise_seed_delta == 0 else opts.eta_noise_seed_delta,

        "Token merging ratio": None if not (opts.token_merging or cmd_opts.token_merging) or opts.token_merging_hr_only else opts.token_merging_ratio,

        "Token merging ratio hr": None if not (opts.token_merging or cmd_opts.token_merging) else opts.token_merging_ratio_hr,

        "Token merging ratio": None if not opts.token_merging or opts.token_merging_hr_only else opts.token_merging_ratio,

        "Token merging ratio hr": None if not opts.token_merging else opts.token_merging_ratio_hr,

        "Token merging random": None if opts.token_merging_random is False else opts.token_merging_random,

        "Token merging merge attention": None if opts.token_merging_merge_attention is True else opts.token_merging_merge_attention,

        "Token merging merge cross attention": None if opts.token_merging_merge_cross_attention is False else opts.token_merging_merge_cross_attention,

            if k == 'sd_vae':

                sd_vae.reload_vae_weights()

        if (opts.token_merging or cmd_opts.token_merging) and not opts.token_merging_hr_only:

        if opts.token_merging and not opts.token_merging_hr_only:

            sd_models.apply_token_merging(sd_model=p.sd_model, hr=False)

            logger.debug('Token merging applied')

    finally:

        # undo model optimizations made by tomesd

        if opts.token_merging or cmd_opts.token_merging:

        if opts.token_merging:

            tomesd.remove_patch(p.sd_model)

            logger.debug('Token merging model optimizations removed')

        # apply token merging optimizations from tomesd for high-res pass

        # check if hr_only so we are not redundantly patching

        if (cmd_opts.token_merging or opts.token_merging) and (opts.token_merging_hr_only or opts.token_merging_ratio_hr != opts.token_merging_ratio):

        if opts.token_merging and (opts.token_merging_hr_only or opts.token_merging_ratio_hr != opts.token_merging_ratio):

            # case where user wants to use separate merge ratios

            if not opts.token_merging_hr_only:

                # clean patch done by first pass. (clobbering the first patch might be fine? this might be excessive)