Added "Usage" section with unzip clarification + dividers

README.md

@@ -15,18 +15,26 @@ Thanks to Apple engineers, we can now run Stable Diffusion on Apple Silicon usin
 However, it is hard to find compatible models, and converting models isn't the easiest thing to do.\
 By organizing Core ML models in one place, it will be easier to find them and for everyone to benefit.
 
+<hr>
+
 ## Conversion Flags
 
 The models were converted using the following flags:\
 `--convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --bundle-resources-for-swift-cli --attention-implementation {SPLIT_EINSUM or ORIGINAL}`
 
-## `split_einsum` vs `original` Models
+## Model version: `split_einsum` VS `original`
 
 Depending on what compute unit you select, you will need to use the correct model version:
 - `split_einsum` is compatible with all compute unit
 - `original` is only compatible with CPU & GPU
 
-# Contributing
+## Usage
+
+Once the chosen model has been downloaded, simply unzip it to use it.
+
+<hr>
+
+## Contributing
 
 We encourage you to have at least one model converted (that this community doesn't already have) under your account that you would be able to contribute before joining. This will help us see those who can actually contribute back to the community.\
 We also encourage you to follow [models](#models-name) and [repo](#repo-name) naming schemes accordingly.