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Don't merge weights when shapes don't match and print a warning.
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@ -390,7 +390,11 @@ class ModelPatcher:
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weight *= strength_model
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weight *= strength_model
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if len(v) == 1:
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if len(v) == 1:
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weight += alpha * (v[0]).type(weight.dtype).to(weight.device)
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w1 = v[0]
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if w1.shape != weight.shape:
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print("WARNING SHAPE MISMATCH {} WEIGHT NOT MERGED {} != {}".format(key, w1.shape, weight.shape))
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else:
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weight += alpha * w1.type(weight.dtype).to(weight.device)
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elif len(v) == 4: #lora/locon
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elif len(v) == 4: #lora/locon
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mat1 = v[0]
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mat1 = v[0]
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mat2 = v[1]
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mat2 = v[1]
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