Add s_tmax

        self.s_min_uncond = s_min_uncond or opts.s_min_uncond

        self.s_min_uncond = s_min_uncond or opts.s_min_uncond

        self.s_churn = s_churn or opts.s_churn

        self.s_churn = s_churn or opts.s_churn

        self.s_tmin = s_tmin or opts.s_tmin

        self.s_tmin = s_tmin or opts.s_tmin

        self.s_tmax = s_tmax or float('inf')  # not representable as a standard ui option

        self.s_tmax = opts.data.get('s_tmax', 0) or float('inf')  # not representable as a standard ui option

        self.s_noise = s_noise or opts.s_noise

        self.s_noise = s_noise or opts.s_noise

        self.override_settings = {k: v for k, v in (override_settings or {}).items() if k not in shared.restricted_opts}

        self.override_settings = {k: v for k, v in (override_settings or {}).items() if k not in shared.restricted_opts}

        self.override_settings_restore_afterwards = override_settings_restore_afterwards

        self.override_settings_restore_afterwards = override_settings_restore_afterwards

    "ddim_discretize": OptionInfo('uniform', "img2img DDIM discretize", gr.Radio, {"choices": ['uniform', 'quad']}),

    "ddim_discretize": OptionInfo('uniform', "img2img DDIM discretize", gr.Radio, {"choices": ['uniform', 'quad']}),

    's_churn': OptionInfo(0.0, "sigma churn", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

    's_churn': OptionInfo(0.0, "sigma churn", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

    's_tmin':  OptionInfo(0.0, "sigma tmin",  gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

    's_tmin':  OptionInfo(0.0, "sigma tmin",  gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

    's_tmax':  OptionInfo(0.0, "sigma tmax",  gr.Slider, {"minimum": 0.0, "maximum": 999.0, "step": 0.01}).info("0 = inf"),

    's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

    's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),

    'k_sched_type':  OptionInfo("Automatic", "scheduler type", gr.Dropdown, {"choices": ["Automatic", "karras", "exponential", "polyexponential"]}).info("lets you override the noise schedule for k-diffusion samplers; choosing Automatic disables the three parameters below"),

    'k_sched_type':  OptionInfo("Automatic", "scheduler type", gr.Dropdown, {"choices": ["Automatic", "karras", "exponential", "polyexponential"]}).info("lets you override the noise schedule for k-diffusion samplers; choosing Automatic disables the three parameters below"),

    'sigma_min': OptionInfo(0.0, "sigma min", gr.Number).info("0 = default (~0.03); minimum noise strength for k-diffusion noise scheduler"),

    'sigma_min': OptionInfo(0.0, "sigma min", gr.Number).info("0 = default (~0.03); minimum noise strength for k-diffusion noise scheduler"),