Added examples

README.md

@@ -17,6 +17,20 @@ This model was trained using Amazon SageMaker and the Hugging Face Deep Learning
 - **License:** wtfpl 
 - **Model Description:** This latent text to image diffusion model can be used to generate high quality medical images based on text prompts. It uses a fixed, pretrained text encoder ([CLIP ViT-L/14](https://arxiv.org/abs/2103.00020)) as suggested in the [Imagen paper](https://arxiv.org/abs/2205.11487). 
 
+## Examples
+
+1. The patient had residual paralysis of the hand after poliomyelitis. It was necessary to stabilize the thumb with reference to the index finger. This was accomplished by placing a graft from the bone bank between the first and second metacarpals. The roentgenogram shows the complete healing of the graft one year later.
+
+ ![hand](examples/hand.png)
+
+2. A 3-year-old child with visual difficulties. Axial FLAIR image show a supra-sellar lesion extending to the temporal lobes along the optic tracts (arrows) with moderate mass effect, compatible with optic glioma. FLAIR hyperintensity is also noted in the left mesencephalon from additional tumoral involvement
+
+ ![3_tumor](examples/3_tumor.png)
+
+3. Showing the subtrochanteric fracture in the porotic bone.
+
+ ![protic bone](examples/porotic_bone.png)
+
 
 ## License