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index.html

@@ -219,7 +219,7 @@ <h3>
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             <div class="col-md-8 col-md-offset-2">
                 <h3>
-                    Method
+                    Method - Test
                 </h3>
 		<p class="text-justify">
 		To enable multimodal, multilingual prompting, both compute efficiently and without multimodal downstream training data we use a custom modular encoder. 
@@ -229,7 +229,7 @@ <h3>
        		the text prompt, thus simplifying the learning of mapping from embeddings to image outputs. Finally, to align the pre-trained Stable Diffusion model (1.4) with the embeddings of our modular 
        		encoder, we retrain the conditioning by finetuning the cross-attention weights (2.2). 
 		</p>
-                <image style='border:1px solid #000000' src="src/imgs/architecture.png" class="img-responsive" alt="method"><br>
+                <image style='border:1px solid #000000' src="/src/imgs/architecture.png" class="img-responsive" alt="method"><br>
             </div>
         </div>