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For no constraint
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@ -27,7 +27,7 @@ class NetworkModuleOFT(network.NetworkModule):
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# kohya-ss/New LyCORIS OFT/BOFT
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if "oft_blocks" in weights.w.keys():
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self.oft_blocks = weights.w["oft_blocks"] # (num_blocks, block_size, block_size)
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self.alpha = weights.w.get("alpha", self.alpha) # alpha is constraint
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self.alpha = weights.w.get("alpha", None) # alpha is constraint
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self.dim = self.oft_blocks.shape[0] # lora dim
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# Old LyCORIS OFT
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elif "oft_diag" in weights.w.keys():
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@ -56,7 +56,7 @@ class NetworkModuleOFT(network.NetworkModule):
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self.num_blocks = self.dim
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self.block_size = self.out_dim // self.dim
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self.constraint = (1 if self.alpha is None else self.alpha) * self.out_dim
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self.constraint = (0 if self.alpha is None else self.alpha) * self.out_dim
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if self.is_R:
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self.constraint = None
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self.block_size = self.dim
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@ -73,6 +73,7 @@ class NetworkModuleOFT(network.NetworkModule):
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if not self.is_R:
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block_Q = oft_blocks - oft_blocks.transpose(-1, -2) # ensure skew-symmetric orthogonal matrix
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if self.constraint != 0:
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norm_Q = torch.norm(block_Q.flatten())
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new_norm_Q = torch.clamp(norm_Q, max=self.constraint.to(oft_blocks.device))
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block_Q = block_Q * ((new_norm_Q + 1e-8) / (norm_Q + 1e-8))
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