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README.md

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@@ -6,10 +6,13 @@ The example app for running text-to-image or image-to-image models to generate i
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## How to get generated image
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1. Place at least one of your prepared split_einsum models into the ‘Local Models’ folder. Find the ‘Document’ folder through the interface by tapping on the ‘Local Models’ button. If the folder is empty, then create a folder named ‘models’. Refer to the folders’ hierarchy in the image below for guidance.
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### Step 1
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Place at least one of your prepared split_einsum models into the ‘Local Models’ folder. Find the ‘Document’ folder through the interface by tapping on the ‘Local Models’ button. If the folder is empty, then create a folder named ‘models’. Refer to the folders’ hierarchy in the image below for guidance.
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The example app supports only ``split_einsum`` models. In terms of performance ``split_einsum`` is the fastest way to get result.
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2. Pick up the model that was placed at the local folder from the list. Click update button if you added a model while app was launched
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3. Enter a prompt or pick up a picture and press "Generate" (You don't need to prepare image size manually) It might take up to a minute or two to get the result
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### Step 2
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Pick up the model that was placed at the local folder from the list. Click update button if you added a model while app was launched
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### Step 3
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Enter a prompt or pick up a picture and press "Generate" (You don't need to prepare image size manually) It might take up to a minute or two to get the result
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![The concept](https://github.com/The-Igor/coreml-stable-diffusion-swift-example/blob/main/img/img_03.png)
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