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Make LCM sampler use the model noise scaling function.
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@ -748,7 +748,7 @@ def sample_lcm(model, x, sigmas, extra_args=None, callback=None, disable=None, n
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x = denoised
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x = denoised
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if sigmas[i + 1] > 0:
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if sigmas[i + 1] > 0:
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x += sigmas[i + 1] * noise_sampler(sigmas[i], sigmas[i + 1])
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x = model.inner_model.inner_model.model_sampling.noise_scaling(sigmas[i + 1] * s_in, noise_sampler(sigmas[i], sigmas[i + 1]), x)
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return x
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return x
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