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make main model loading and model merger use the same code
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@@ -169,9 +169,9 @@ def run_modelmerger(primary_model_name, secondary_model_name, interp_method, int
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print(f"Loading {secondary_model_info.filename}...")
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secondary_model = torch.load(secondary_model_info.filename, map_location='cpu')
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theta_0 = primary_model['state_dict']
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theta_1 = secondary_model['state_dict']
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theta_0 = sd_models.get_state_dict_from_checkpoint(primary_model)
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theta_1 = sd_models.get_state_dict_from_checkpoint(secondary_model)
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theta_funcs = {
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"Weighted Sum": weighted_sum,
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