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add Discard penultimate sigma to infotext

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AUTOMATIC 2023-01-05 10:43:21 +03:00
parent c53852e257
commit 42fcc79bd3
1 changed files with 7 additions and 3 deletions
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10
modules/sd_samplers.py
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@ -463,8 +463,12 @@ class KDiffusionSampler:
return extra_params_kwargs return extra_params_kwargs
def get_sigmas(self, p, steps): 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)) discard_next_to_last_sigma = self.config is not None and self.config.options.get('discard_next_to_last_sigma', False)
steps += 1 if disc else 0 if opts.always_discard_next_to_last_sigma and not discard_next_to_last_sigma:
discard_next_to_last_sigma = True
p.extra_generation_params["Discard penultimate sigma"] = True
steps += 1 if discard_next_to_last_sigma else 0
if p.sampler_noise_scheduler_override: if p.sampler_noise_scheduler_override:
sigmas = p.sampler_noise_scheduler_override(steps) sigmas = p.sampler_noise_scheduler_override(steps)
@ -475,7 +479,7 @@ class KDiffusionSampler:
else: else:
sigmas = self.model_wrap.get_sigmas(steps) sigmas = self.model_wrap.get_sigmas(steps)
if disc: if discard_next_to_last_sigma:
sigmas = torch.cat([sigmas[:-2], sigmas[-1:]]) sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])
return sigmas return sigmas