fix dpm2 in img2img as well
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@ -454,6 +454,9 @@ class KDiffusionSampler:
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else:
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sigmas = self.model_wrap.get_sigmas(steps)
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if self.funcname in ['sample_dpm_2_ancestral', 'sample_dpm_2']:
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sigmas = torch.cat([sigmas[:-2], sigmas[-1:]])
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sigma_sched = sigmas[steps - t_enc - 1:]
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xi = x + noise * sigma_sched[0]
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