Update sigmas_merge.py
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@@ -90,7 +90,7 @@ class the_golden_scheduler:
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sigmax = s.sigma(s.timestep(s.sigma_max))
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phi = (1 + 5 ** 0.5) / 2
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sigmas = torch.tensor([(1-x/(steps-1))**phi*sigmax+(x/(steps-1))**phi*sigmin for x in range(steps)]+[0]).cuda()
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sigmas = torch.tensor([(1-x/(steps-1))**phi*(sigmax-sigmin)+sigmin for x in range(steps)]+[0]).cuda()
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return (sigmas,)
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def remap_range_no_clamp(value, minIn, MaxIn, minOut, maxOut):
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