Update README.md

README.md

@@ -25,7 +25,7 @@ To further enhance the model's multimodal capabilities, we employ trainable spec
 2. Once the adapter has learned to map ViT's visual embeddings to the language model's textual space, we proceed to unfreeze Mistral for improved understanding of dialog formats and complex queries.
 
 <p align="left">
-<img src="https://raw.githubusercontent.com/AIRI-Institute/OmniFusion/main/content/datasets.png" width="80%">
+<img src="https://raw.githubusercontent.com/AIRI-Institute/OmniFusion/main/content/datasets.png" width="50%">
 </p>
 
 ### Results
@@ -45,7 +45,7 @@ Model Performance on Visual Dialog Benchmark
 ### Examples
 
 <p align="left">
-<img src="https://raw.githubusercontent.com/AIRI-Institute/OmniFusion/main/content/examples.png" width="100%">
+<img src="https://raw.githubusercontent.com/AIRI-Institute/OmniFusion/main/content/examples.png" width="70%">
 </p>
 
 ### Future Plans