Additional details

README.md

@@ -11,12 +11,19 @@ Welcome to the official Hugging Face organisation for Apple!
 
 ## Apple Core ML
 
+Build intelligence into your apps using machine learning models from the research community designed for Core ML. 
+
 ### Image Classification
-- [FastViT](https://huggingface.co/collections/coreml-projects/coreml-fastvit-666b0053e54816747071d755)
+- [FastViT](https://huggingface.co/collections/coreml-projects/coreml-fastvit-666b0053e54816747071d755), a small and very fast model family for image classification. 
+
 ### Image Segmentation
-- [DETR](https://huggingface.co/coreml-projects/coreml-detr-semantic-segmentation)
+- [DETR](https://huggingface.co/coreml-projects/coreml-detr-semantic-segmentation). DEtection TRansformer (DETR) allows semantic segmentation on iOS devices, where each pixel in an image is classified according to the most probable category it belongs to.
+
 ### Depth Estimation
-- [Depth Anything](https://huggingface.co/coreml-projects/coreml-depth-anything-small)
+- [Depth Anything](https://huggingface.co/coreml-projects/coreml-depth-anything-small) is a state of the art model for monocular depth estimation.
+
+### Text-to-Image Generation
+- [Stable Diffusion](https://huggingface.co/collections/apple/core-ml-stable-diffusion-666b3b0f4b5f3d33c67c6bbe) Core ML versions of Stable Diffusion models for image generation on Apple Silicon.
 
 ## Apple Machine Learning Research
 - OpenELM [Base](https://huggingface.co/collections/apple/openelm-pretrained-models-6619ac6ca12a10bd0d0df89e) | [Instruct](https://huggingface.co/collections/apple/openelm-instruct-models-6619ad295d7ae9f868b759ca)
@@ -26,5 +33,8 @@ Welcome to the official Hugging Face organisation for Apple!
 - [DataCompDR](https://huggingface.co/collections/apple/mobileclip-models-datacompdr-data-665789776e1aa2b59f35f7c8)
  
 ## Other resources
-- [Hugging Face CoreML Examples](https://github.com/huggingface/coreml-examples) - Run CoreML models like FastViT, DETR and DepthAnything with two lines of code!
-- [Apple Model Gallery](https://developer.apple.com/machine-learning/models/) - Build intelligence into your apps using machine learning models from the research community designed for Core ML.
+- [Hugging Face CoreML Examples](https://github.com/huggingface/coreml-examples) – Run CoreML models like FastViT, DETR and DepthAnything with two lines of code!
+- [Apple Model Gallery](https://developer.apple.com/machine-learning/models/) – Build intelligence into your apps using machine learning models from the research community designed for Core ML.
+- [apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) – Library to run Stable Diffusion on Apple Silicon with Core ML.
+- [huggingface/swift-coreml-diffusers](https://github.com/huggingface/swift-coreml-diffusers) – Demo app that shows how to integrate `ml-stable-diffusion` in a native Swift application.
+- [huggingface/swift-transformers](https://github.com/huggingface/swift-transformers) – Swift package to run transformers models on Apple Silicon with Core ML.