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add script to create mlmodel file
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create_model.py

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import coremltools
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import coremltools.proto.FeatureTypes_pb2 as ft
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spec = coremltools.proto.Model_pb2.Model()
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spec.specificationVersion = 1
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new_input = spec.description.input.add()
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new_input.name = "image"
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new_input.type.imageType.width = 256
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new_input.type.imageType.height = 256
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new_input.type.imageType.colorSpace = ft.ImageFeatureType.RGB
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new_output = spec.description.output.add()
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new_output.name = "generatedImage"
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new_output.type.imageType.width = 256
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new_output.type.imageType.height = 256
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new_output.type.imageType.colorSpace = ft.ImageFeatureType.RGB
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# If you want the output to be a MultiArray instead of an image:
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#new_output.type.multiArrayType.shape.extend([3, 256, 256])
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#new_output.type.multiArrayType.dataType = ft.ArrayFeatureType.FLOAT32
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new_prepro = spec.neuralNetwork.preprocessing.add()
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new_prepro.scaler.channelScale = 1.0
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new_prepro.scaler.redBias = 0.0
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new_prepro.scaler.greenBias = 0.0
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new_prepro.scaler.blueBias = 0.0
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new_prepro.featureName = spec.description.input[0].name
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new_layer = spec.neuralNetwork.layers.add()
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new_layer.name = "test_layer"
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new_layer.input.append(spec.description.input[0].name)
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new_layer.output.append(spec.description.output[0].name)
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new_layer.activation.linear.alpha = 1.0
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print(spec.description)
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coremltools.utils.save_spec(spec, "Image2Image.mlmodel")

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