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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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bd4da4474b
refer to LyCORIS 1.9.0.dev6 add new option and module for training norm layer (Which is reported to be good for style)
30 lines
974 B
Python
30 lines
974 B
Python
import network
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class ModuleTypeNorm(network.ModuleType):
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def create_module(self, net: network.Network, weights: network.NetworkWeights):
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if all(x in weights.w for x in ["w_norm", "b_norm"]):
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return NetworkModuleNorm(net, weights)
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return None
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class NetworkModuleNorm(network.NetworkModule):
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def __init__(self, net: network.Network, weights: network.NetworkWeights):
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super().__init__(net, weights)
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print("NetworkModuleNorm")
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self.w_norm = weights.w.get("w_norm")
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self.b_norm = weights.w.get("b_norm")
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def calc_updown(self, orig_weight):
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output_shape = self.w_norm.shape
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updown = self.w_norm.to(orig_weight.device, dtype=orig_weight.dtype)
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if self.b_norm is not None:
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ex_bias = self.b_norm.to(orig_weight.device, dtype=orig_weight.dtype)
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else:
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ex_bias = None
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return self.finalize_updown(updown, orig_weight, output_shape, ex_bias)
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