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test
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@@ -774,9 +774,7 @@ class NetworkTrainer:
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else:
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raise NotImplementedError("multipliers for each sample is not supported yet")
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# print(f"set multiplier: {multipliers}")
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print(type(network))
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network.set_multiplier(multipliers)
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accelerator.unwrap_model(network).set_multiplier(multipliers)
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with torch.set_grad_enabled(train_text_encoder), accelerator.autocast():
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# Get the text embedding for conditioning
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