Read kdiffusion sigma params from opts

            extra_params_kwargs['eta'] = self.eta

        if len(self.extra_params) > 0:

            s_churn = p.override_settings.get('s_churn', p.s_churn)

            s_tmin = p.override_settings.get('s_tmin', p.s_tmin)

            s_tmax = p.override_settings.get('s_tmax', p.s_tmax)

            s_noise = p.override_settings.get('s_noise', p.s_noise)

            s_churn = getattr(opts, 's_churn', p.s_churn)

            s_tmin = getattr(opts, 's_tmin', p.s_tmin)

            s_tmax = getattr(opts, 's_tmax', p.s_tmax)

            s_noise = getattr(opts, 's_noise', p.s_noise)

            if s_churn != self.s_churn:

                extra_params_kwargs['s_churn'] = s_churn

                p.s_churn = s_churn

                p.extra_generation_params['Sigma churn'] = s_churn

            if s_tmin != self.s_tmin:

                extra_params_kwargs['s_tmin'] = s_churn

                extra_params_kwargs['s_tmin'] = s_tmin

                p.s_tmin = s_tmin

                p.extra_generation_params['Sigma tmin'] = s_tmin

            if s_tmax != self.s_tmax:

                extra_params_kwargs['s_tmax'] = s_churn

                extra_params_kwargs['s_tmax'] = s_tmax

                p.s_tmax = s_tmax

                p.extra_generation_params['Sigma tmax'] = s_tmax

            if s_noise != self.s_noise:

                extra_params_kwargs['s_noise'] = s_churn

                extra_params_kwargs['s_noise'] = s_noise

                p.s_noise = s_noise

                p.extra_generation_params['Sigma noise'] = s_noise