Use automatic instead of None/default

k_diffusion_samplers_map = {x.name: x for x in samplers_data_k_diffusion}

k_diffusion_scheduler = {

    'None': None,

    'Automatic': None,

    'karras': k_diffusion.sampling.get_sigmas_karras,

    'exponential': k_diffusion.sampling.get_sigmas_exponential,

    'polyexponential': k_diffusion.sampling.get_sigmas_polyexponential

        k_diffusion.sampling.torch = TorchHijack(self.sampler_noises if self.sampler_noises is not None else [])

        if opts.k_sched_type != "None":

        if opts.k_sched_type != "Automatic":

            p.extra_generation_params["KDiffusion Scheduler Type"] = opts.k_sched_type

            p.extra_generation_params["KDiffusion Scheduler sigma_max"] = opts.sigma_max

            p.extra_generation_params["KDiffusion Scheduler sigma_min"] = opts.sigma_min

        if p.sampler_noise_scheduler_override:

            sigmas = p.sampler_noise_scheduler_override(steps)

        elif opts.k_sched_type != "None":

        elif opts.k_sched_type != "Automatic":

            sigma_min, sigma_max = (0.1, 10) if opts.use_old_karras_scheduler_sigmas else (self.model_wrap.sigmas[0].item(), self.model_wrap.sigmas[-1].item())

            sigmas_func = k_diffusion_scheduler[opts.k_sched_type]

            sigmas_kwargs = {

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

    'k_sched_type':  OptionInfo("default", "scheduler type", gr.Dropdown, {"choices": ["None", "karras", "exponential", "polyexponential"]}),

    'k_sched_type':  OptionInfo("Automatic", "scheduler type", gr.Dropdown, {"choices": ["Automatic", "karras", "exponential", "polyexponential"]}),

    'sigma_max': OptionInfo(0.0, "sigma max", gr.Number).info("the maximum noise strength for the scheduler. Set to 0 to use the same value which 'xxx karras' samplers use."),

    'sigma_min': OptionInfo(0.0, "sigma min", gr.Number).info("the minimum noise strength for the scheduler. Set to 0 to use the same value which 'xxx karras' samplers use."),

    'rho':  OptionInfo(7.0, "rho", gr.Number).info("higher will make a more steep noise scheduler (decrease faster). default for karras is 7.0, for polyexponential is 1.0"),