diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 3851a77fbf9e303d5ea3c3c781287872617ab6da..31b255a3b2c3a746b0c4880307bb2f583e56d32e 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -463,6 +463,9 @@ class KDiffusionSampler:
         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':
@@ -472,7 +475,7 @@ class KDiffusionSampler:
         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
diff --git a/modules/shared.py b/modules/shared.py
index 04c545eeb23c2672370c465075dc145584521aa8..e0f44c6dee6bd7ee1e748acac5e6c189ebfb2488 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -442,6 +442,7 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     '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}),
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
+    'always_discard_next_to_last_sigma': OptionInfo(False, "Always discard next-to-last sigma"),
 }))
 
 options_templates.update(options_section((None, "Hidden options"), {