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Add block dim(rank) feature
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@@ -145,8 +145,8 @@ def svd(args):
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lora_sd[lora_name + '.alpha'] = torch.tensor(down_weight.size()[0])
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# load state dict to LoRA and save it
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lora_network_save = lora.create_network_from_weights(1.0, None, None, text_encoder_o, unet_o, weights_sd=lora_sd)
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lora_network_save.apply_to(text_encoder_o, unet_o) # create internal module references for state_dict
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lora_network_save, lora_sd = lora.create_network_from_weights(1.0, None, None, text_encoder_o, unet_o, weights_sd=lora_sd)
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lora_network_save.apply_to(text_encoder_o, unet_o) # create internal module references for state_dict
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info = lora_network_save.load_state_dict(lora_sd)
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print(f"Loading extracted LoRA weights: {info}")
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