update index.html

index.html

@@ -197,6 +197,7 @@
             white-space: nowrap; /* Prevent line breaks */
         }
         .citation-content h2 {
+            background-color: #f5f5f5; /* Semi-transparent background inside the section */
             font-size: 2em;
             text-align: left;
             font-weight: normal;
@@ -475,7 +476,7 @@ <h2>About Sana</h2>
           <p>We introduce Sana, a text-to-image framework that can efficiently generate images up to 4096 × 4096 resolution.
                     Sana can synthesize high-resolution, high-quality images with strong text-image alignment at a remarkably fast speed,
                     deployable on laptop GPU. Core designs include:
-                    <strong style="font-size: 18px;">Deep compression autoencoder: </strong> un-like traditional AEs, which compress images only 8x,
+                    <strong style="font-size: 18px;">Deep compression autoencoder: </strong> un-like traditional AEs, which compress images only 8×,
                         we trained an AE that can compress images 32×, effectively reducing the number of latent tokens.
                     <strong style="font-size: 18px;">Linear DiT: </strong> we replace all vanilla attention in DiT with linear attention, which is more efficient at high resolutions without sacrificing quality.
                     <strong style="font-size: 18px;">Decoder-only text encoder: </strong> we replaced T5 with modern decoder-only small LLM as the text encoder and designed