Update README.md

README.md

@@ -23,6 +23,8 @@ Install directly from source
 pip install git+https://github.com/EricLBuehler/xlora.git -U
 ```
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/jXBZlqZoezAjx3TppFeF-.png)
+
 Further details on installation, packages with source code, API details and more examples:
 
 [https://github.com/EricLBuehler/xlora](https://github.com/EricLBuehler/xlora)
@@ -166,6 +168,10 @@ print (output_text[0])
 
 See [lamm-mit/x-lora-dataset](https://huggingface.co/datasets/lamm-mit/x-lora-dataset) for the dataset used to train the X-LoRA model. Details on the datasets used to train the original adapters are included in the paper (see reference below).
 
+## Sample results
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/GRbDJcIqkZZrQAVXyKB2H.png)
+
 ## Acknowledgements
 
 This work is built on the Hugging Face [PEFT library](https://github.com/huggingface/peft/tree/main/src/peft) and other components in the Hugging Face ecosystem.