From 4df5009acb6832daef1ff5949404b5aadc8f8fa4 Mon Sep 17 00:00:00 2001
From: hentailord85ez <112723046+hentailord85ez@users.noreply.github.com>
Date: Mon, 26 Dec 2022 20:49:13 +0000
Subject: [PATCH 1/2] Update sd_samplers.py

---
 modules/sd_samplers.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 177b53380..f4473832c 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -462,6 +462,9 @@ 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':
@@ -469,7 +472,7 @@ 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

From 03f486a2399df0a2b24c7aeea72e64f106a87297 Mon Sep 17 00:00:00 2001
From: hentailord85ez <112723046+hentailord85ez@users.noreply.github.com>
Date: Mon, 26 Dec 2022 20:49:33 +0000
Subject: [PATCH 2/2] Update shared.py

---
 modules/shared.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/shared.py b/modules/shared.py
index d4ddeea02..5edb316c0 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -418,6 +418,7 @@ 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"), {