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+    <article>
+        <div class="post-header">
+            <div class="post-meta">// 2026-10-15 | Research</div>
+            <h2>Improving Supra Text-To-Image models.<br>Better data.<br>Better algorithms.</h2>
+        </div>
+
+        <div class="post-content">
+          <p>It has been a while since our last text-to-image model experiments... the resultsimages were always blurry, damaged and not good.</p>
+          <p>We spent days in researching better options and tricks for a better model now. Let's get into it.</p>
+
+          <h2>The old model</h2>
+          <p>Here are some real samples - generated from our model. At <code>guidance_scale=3.5</code> and <code>steps=150</code>. Everytime the same <strong>12345</strong> seed.</p>
+
+          <strong>Prompt: A city skyline during a neon pink sunset.</strong><br>
+          <img src="https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/a0-bzWK2MD35sshdGwXpR.png" width="250px" height="250px">
+          
+          <br><br><strong>Prompt: A clock tower against a blue sky.</strong><br>
+          <img src="https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/3T0OfRxwlDONr1R8QCRWl.png" width="250px" height="250px">
+          
+          <br><br><strong>Prompt: a red car</strong><br>
+          <img src="https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/7wUzW_gX3i643zDgIEQYR.png" width="250px" height="250px">
+          
+          <br><br><strong>Prompt: a mountain landscape with a lake</strong><br>
+          <img src="https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/FW8mvsaxu05zB0vbwEg0w.png" width="250px" height="250px">
+
+          <br><br>
+          <p>As you can clearly see, these results are REALLY bad. That <strong>has</strong> to be improved.</p>
+
+          <h2>The new setup</h2>
+          <p>Since we are an open-source research organization we will share some details about the new setup yet - even before the release.</p>
+
+          <div class="table-wrap">
+            <table>
+                <thead>
+                    <tr><th>Part</th><th>OLD</th><th>NEW</th><th>Why?</th></tr>
+                </thead>
+                <tbody>
+                    <tr><td>Encoder</td>               <td>CLIP</td><td><strong>Flan-T5-Base</strong></td><td>Better image understanding and prompt following improvements.</td></tr>
+                    <tr><td>Dataset</td>               <td>COCO</td><td><strong>FLUX-Reason-6M</strong></td><td>1. Synthetic images are better for small t2i models; 2. COCO is not good at all for t2i; 3. All images in the FLUX-Reason-6M dataset already have a squared aspect ratio.</td></tr>
+                    <tr><td># of images</td>           <td>83k</td><td><strong>900k</strong></td><td>More data is better to not let the model overfit to certain pictures</td></tr>
+                    <tr><td>Epochs</td>                <td>200</td><td><strong>2</strong></td><td>With more data, you should use much less epochs.</td></tr>
+                    <tr><td>Total parameters</td>      <td>40M</td><td><strong>100M</strong></td><td>Text-To-Image is complicated and very hard. Give the model more room to think.</td></tr>
+                </tbody>
+            </table>
+          </div>
+
+          <p>Let's see how it will perform!</p>
+
+          <h2>Total time and current progress</h2>
+          <p>We did start the training of the model. At 256² image size. With 900k images. For two epochs. One single RTX 5060 Ti 16GB.</p>
+
+          <div class="callout">
+            <span><strong>Total time:</strong> ~20 hours</span>
+            <span><strong>Current progress:</strong> 8%</span>
+          </div>
+
+          <h2>Stay tuned</h2>
+          <p>This was it for today - stay tuned for the release maybe in some days!</p>
+
+          <div class="tags">
+            <span class="tag">#research</span>
+            <span class="tag">#small-model</span>
+            <span class="tag">#text-to-image</span>
+            <span class="tag">#t2i</span>
+          </div>
+        </div>
+    </article>        
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