Pass sigma to apply_refiner
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@ -152,7 +152,7 @@ class CFGDenoiser(torch.nn.Module):
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if state.interrupted or state.skipped:
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raise sd_samplers_common.InterruptedException
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if sd_samplers_common.apply_refiner(self):
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if sd_samplers_common.apply_refiner(self, sigma):
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cond = self.sampler.sampler_extra_args['cond']
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uncond = self.sampler.sampler_extra_args['uncond']
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