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Automatically set the right sampling type for lotus.
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@@ -69,6 +69,15 @@ class CONST:
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sigma = sigma.view(sigma.shape[:1] + (1,) * (latent.ndim - 1))
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return latent / (1.0 - sigma)
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class X0(EPS):
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def calculate_denoised(self, sigma, model_output, model_input):
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return model_output
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class IMG_TO_IMG(X0):
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def calculate_input(self, sigma, noise):
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return noise
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class ModelSamplingDiscrete(torch.nn.Module):
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def __init__(self, model_config=None, zsnr=None):
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super().__init__()
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