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88922929cb |
@@ -488,7 +488,7 @@ class GaussianDiffusion(nn.Module):
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beta_schedule = 'cosine',
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beta_schedule = 'cosine',
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p2_loss_weight_gamma = 0., # p2 loss weight, from https://arxiv.org/abs/2204.00227 - 0 is equivalent to weight of 1 across time - 1. is recommended
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p2_loss_weight_gamma = 0., # p2 loss weight, from https://arxiv.org/abs/2204.00227 - 0 is equivalent to weight of 1 across time - 1. is recommended
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p2_loss_weight_k = 1,
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p2_loss_weight_k = 1,
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ddim_sampling_eta = 1.
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ddim_sampling_eta = 0.
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):
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):
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super().__init__()
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super().__init__()
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assert not (type(self) == GaussianDiffusion and model.channels != model.out_dim)
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assert not (type(self) == GaussianDiffusion and model.channels != model.out_dim)
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