Add variants description to model card (#2)

README.md

@@ -18,7 +18,21 @@ The **Stable-Diffusion-v1-5** checkpoint was initialized with the weights of the
 checkpoint and subsequently fine-tuned on 595k steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10% dropping of the text-conditioning to improve [classifier-free guidance sampling](https://arxiv.org/abs/2207.12598).
 
 
-These weights here have been converted to Core ML for use on Apple Silicon hardware. Please, refer to https://huggingface.co/blog/diffusers-coreml for details.
+These weights here have been converted to Core ML for use on Apple Silicon hardware.
+
+There are 4 variants of the Core ML weights:
+
+```
+coreml-stable-diffusion-v1-5
+├── original
+│   ├── compiled              # Swift inference, "original" attention
+│   └── packages              # Python inference, "original" attention
+└── split_einsum
+    ├── compiled              # Swift inference, "split_einsum" attention
+    └── packages              # Python inference, "split_einsum" attention
+```
+
+Please, refer to https://huggingface.co/blog/diffusers-coreml for details.
 
 If you need weights for the 🧨 Diffusers library, please [visit this model instead](https://huggingface.co/runwayml/stable-diffusion-v1-5).