Merge pull request #6044 from hentailord85ez/discard-penultimate-sigma
Allow always discarding of penultimate sigma and fix doing 1 less step than specified
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c53852e257
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@ -463,6 +463,9 @@ class KDiffusionSampler:
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return extra_params_kwargs
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def get_sigmas(self, p, steps):
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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))
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steps += 1 if disc else 0
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if p.sampler_noise_scheduler_override:
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sigmas = p.sampler_noise_scheduler_override(steps)
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elif self.config is not None and self.config.options.get('scheduler', None) == 'karras':
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@ -472,7 +475,7 @@ class KDiffusionSampler:
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else:
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sigmas = self.model_wrap.get_sigmas(steps)
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if self.config is not None and self.config.options.get('discard_next_to_last_sigma', False):
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if disc:
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sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])
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return sigmas
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@ -442,6 +442,7 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
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's_tmin': OptionInfo(0.0, "sigma tmin", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
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's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
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'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
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'always_discard_next_to_last_sigma': OptionInfo(False, "Always discard next-to-last sigma"),
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}))
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options_templates.update(options_section((None, "Hidden options"), {
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