stable-diffusion-webui/extensions-builtin/Lora/network_full.py

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import network
class ModuleTypeFull(network.ModuleType):
def create_module(self, net: network.Network, weights: network.NetworkWeights):
if all(x in weights.w for x in ["diff"]):
return NetworkModuleFull(net, weights)
return None
class NetworkModuleFull(network.NetworkModule):
def __init__(self, net: network.Network, weights: network.NetworkWeights):
super().__init__(net, weights)
self.weight = weights.w.get("diff")
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self.ex_bias = weights.w.get("diff_b")
def calc_updown(self, orig_weight):
output_shape = self.weight.shape
updown = self.weight.to(orig_weight.device, dtype=orig_weight.dtype)
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if self.ex_bias is not None:
ex_bias = self.ex_bias.to(orig_weight.device, dtype=orig_weight.dtype)
else:
ex_bias = None
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return self.finalize_updown(updown, orig_weight, output_shape, ex_bias)