Update sd_samplers.py

        return extra_params_kwargs

    def get_sigmas(self, p, steps):

        disc = opts.always_discard_next_to_last_sigma or (self.config is not None and self.config.options.get('discard_next_to_last_sigma', False))

        steps += 1 if disc else 0

        if p.sampler_noise_scheduler_override:

            sigmas = p.sampler_noise_scheduler_override(steps)

        elif self.config is not None and self.config.options.get('scheduler', None) == 'karras':

        else:

            sigmas = self.model_wrap.get_sigmas(steps)

        if self.config is not None and self.config.options.get('discard_next_to_last_sigma', False):

        if disc:

            sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])

        return sigmas