Keep sigmas on CPU
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@ -115,7 +115,7 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
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if scheduler.need_inner_model:
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sigmas_kwargs['inner_model'] = self.model_wrap
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sigmas = scheduler.function(n=steps, **sigmas_kwargs, device=shared.device)
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sigmas = scheduler.function(n=steps, **sigmas_kwargs)
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if discard_next_to_last_sigma:
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sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])
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