Update app description to highlight MoE architecture and speed

app.py

@@ -90,11 +90,14 @@ with gr.Blocks(css=CSS, theme=gr.themes.Soft()) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown(
             """
-            # 🖼️ Nucleus-Image (ZeroGPU)
-            Generate images with [`NucleusAI/Nucleus-Image`](https://huggingface.co/NucleusAI/Nucleus-Image).
+            # Nucleus-Image
+            **17B sparse MoE diffusion transformer** that activates only ~2B parameters per forward pass — fast, high-quality image generation.
+            Fully open-source: weights, training code, and dataset. [[model]](https://huggingface.co/NucleusAI/Nucleus-Image) [[paper]](https://arxiv.org/abs/2604.12163) [[code]](https://github.com/NucleusAI/Nucleus-Image)
             """
         )
 
+        
+        
         prompt = gr.Textbox(
             label="Prompt",
             placeholder="Describe the image you want to generate...",