34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
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import network
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class ModuleTypeGLora(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 ["a1.weight", "a2.weight", "alpha", "b1.weight", "b2.weight"]):
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return NetworkModuleGLora(net, weights)
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return None
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# adapted from https://github.com/KohakuBlueleaf/LyCORIS
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class NetworkModuleGLora(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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if hasattr(self.sd_module, 'weight'):
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self.shape = self.sd_module.weight.shape
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self.w1a = weights.w["a1.weight"]
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self.w1b = weights.w["b1.weight"]
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self.w2a = weights.w["a2.weight"]
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self.w2b = weights.w["b2.weight"]
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def calc_updown(self, orig_weight):
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w1a = self.w1a.to(orig_weight.device, dtype=orig_weight.dtype)
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w1b = self.w1b.to(orig_weight.device, dtype=orig_weight.dtype)
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w2a = self.w2a.to(orig_weight.device, dtype=orig_weight.dtype)
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w2b = self.w2b.to(orig_weight.device, dtype=orig_weight.dtype)
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output_shape = [w1a.size(0), w1b.size(1)]
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updown = ((w2b @ w1b) + ((orig_weight @ w2a) @ w1a))
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return self.finalize_updown(updown, orig_weight, output_shape)
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