Merge pull request #6044 from hentailord85ez/discard-penultimate-sigma

Allow always discarding of penultimate sigma and fix doing 1 less step than specified

2 files changed, 5 insertions, 1 deletions

diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 3851a77f..31b255a3 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 04c545ee..e0f44c6d 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"), {