Update app.py

app.py

@@ -32,12 +32,13 @@ def generate_image(prompt, height, width, num_inference_steps, seed, randomize_s
         height=int(height),
         width=int(width),
         num_inference_steps=int(num_inference_steps),
-        guidance_scale=0.0,
+        guidance_scale=0.0,  # Guidance should be 0 for Turbo models
         generator=generator,
     ).images[0]
     
     return image, seed
 
+
 # Example prompts
 examples = [
     ["Young Chinese woman in red Hanfu, intricate embroidery. Impeccable makeup, red floral forehead pattern. Elaborate high bun, golden phoenix headdress, red flowers, beads. Holds round folding fan with lady, trees, bird. Neon lightning-bolt lamp, bright yellow glow, above extended left palm. Soft-lit outdoor night background, silhouetted tiered pagoda, blurred colorful distant lights."],
@@ -47,139 +48,82 @@ examples = [
     ["Portrait of a wise old wizard with a long white beard, holding a glowing crystal staff, magical forest background"],
 ]
 
-# Custom theme with modern aesthetics (Gradio 6)
-custom_theme = gr.themes.Soft(
-    primary_hue="yellow",
-    secondary_hue="amber",
-    neutral_hue="slate",
-    font=gr.themes.GoogleFont("Inter"),
-    text_size="lg",
-    spacing_size="md",
-    radius_size="lg"
-).set(
-    button_primary_background_fill="*primary_500",
-    button_primary_background_fill_hover="*primary_600",
-    block_title_text_weight="600",
-)
-
 # Build the Gradio interface
-with gr.Blocks(fill_height=True) as demo:
-    # Header
+with gr.Blocks(title="Z-Image-Turbo Demo") as demo:
     gr.Markdown(
         """
-        # 🎨 Z-Image-Turbo
-        **Ultra-fast AI image generation** • Generate stunning images in just 8 steps
+        # 🎨 Z-Image-Turbo Demo
         
-        <div style="margin-top: 0.5rem; opacity: 0.8;">
-        Built with <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="color: inherit; text-decoration: underline;">anycoder</a>
-        </div>
-        """,
-        elem_classes="header-text"
+        Generate high-quality images using the [Tongyi-MAI/Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) model.
+        This turbo model generates images in just 8 inference steps!
+        """
     )
     
-    with gr.Row(equal_height=False):
-        # Left column - Input controls
-        with gr.Column(scale=1, min_width=320):
+    with gr.Row():
+        with gr.Column(scale=1):
             prompt = gr.Textbox(
-                label="✨ Your Prompt",
-                placeholder="Describe the image you want to create...",
-                lines=5,
-                max_lines=10,
-                autofocus=True,
+                label="Prompt",
+                placeholder="Enter your image description...",
+                lines=4,
             )
             
-            with gr.Accordion("⚙️ Advanced Settings", open=False):
-                with gr.Row():
-                    height = gr.Slider(
-                        minimum=512,
-                        maximum=2048,
-                        value=1024,
-                        step=64,
-                        label="Height",
-                        info="Image height in pixels"
-                    )
-                    width = gr.Slider(
-                        minimum=512,
-                        maximum=2048,
-                        value=1024,
-                        step=64,
-                        label="Width",
-                        info="Image width in pixels"
-                    )
-                
+            with gr.Row():
+                height = gr.Slider(
+                    minimum=512,
+                    maximum=2048,
+                    value=1024,
+                    step=64,
+                    label="Height",
+                )
+                width = gr.Slider(
+                    minimum=512,
+                    maximum=2048,
+                    value=1024,
+                    step=64,
+                    label="Width",
+                )
+            
+            with gr.Row():
                 num_inference_steps = gr.Slider(
                     minimum=1,
                     maximum=20,
                     value=9,
                     step=1,
                     label="Inference Steps",
-                    info="9 steps = 8 DiT forwards (recommended)"
-                )
-                
-                with gr.Row():
-                    randomize_seed = gr.Checkbox(
-                        label="🎲 Random Seed",
-                        value=True,
-                    )
-                    seed = gr.Number(
-                        label="Seed",
-                        value=42,
-                        precision=0,
-                        visible=False,
-                    )
-                
-                def toggle_seed(randomize):
-                    return gr.Number(visible=not randomize)
-                
-                randomize_seed.change(
-                    toggle_seed,
-                    inputs=[randomize_seed],
-                    outputs=[seed]
+                    info="9 steps results in 8 DiT forwards",
                 )
             
-            generate_btn = gr.Button(
-                "🚀 Generate Image",
-                variant="primary",
-                size="lg",
-                scale=1
-            )
+            with gr.Row():
+                seed = gr.Number(
+                    label="Seed",
+                    value=42,
+                    precision=0,
+                )
+                randomize_seed = gr.Checkbox(
+                    label="Randomize Seed",
+                    value=False,
+                )
             
-            # Example prompts
-            gr.Examples(
-                examples=examples,
-                inputs=[prompt],
-                label="💡 Try these prompts",
-                examples_per_page=5,
-            )
+            generate_btn = gr.Button("🚀 Generate", variant="primary", size="lg")
         
-        # Right column - Output
-        with gr.Column(scale=1, min_width=320):
+        with gr.Column(scale=1):
             output_image = gr.Image(
                 label="Generated Image",
                 type="pil",
-                show_label=False,
-                height=600,
-                buttons=["download", "share"],
             )
-            
             used_seed = gr.Number(
-                label="🎲 Seed Used",
+                label="Seed Used",
                 interactive=False,
-                container=True,
             )
     
-    # Footer credits
-    gr.Markdown(
-        """
-        ---
-        <div style="text-align: center; opacity: 0.7; font-size: 0.9em; margin-top: 1rem;">
-        <strong>Model:</strong> <a href="https://huggingface.co/Tongyi-MAI/Z-Image-Turbo" target="_blank">Tongyi-MAI/Z-Image-Turbo</a> (Apache 2.0 License) • 
-        <strong>Demo by:</strong> <a href="https://x.com/realmrfakename" target="_blank">@mrfakename</a> • 
-        <strong>Optimizations:</strong> <a href="https://huggingface.co/multimodalart" target="_blank">@multimodalart</a> (FA3 + AoTI)
-        </div>
-        """,
-        elem_classes="footer-text"
+    gr.Markdown("### 💡 Example Prompts")
+    gr.Examples(
+        examples=examples,
+        inputs=[prompt],
+        cache_examples=False,
     )
+
+    gr.Markdown("Demo by [mrfakename](https://x.com/realmrfakename). Model by Alibaba. The model is licensed under Apache 2.0, you can use generated images commercially! Thanks to [multimodalart](https://huggingface.co/multimodalart) for the FA3 + AoTI enhancements/speedups")
     
     # Connect the generate button
     generate_btn.click(
@@ -196,69 +140,4 @@ with gr.Blocks(fill_height=True) as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(
-        theme=custom_theme,
-        css="""
-        .header-text h1 {
-            font-size: 2.5rem !important;
-            font-weight: 700 !important;
-            margin-bottom: 0.5rem !important;
-            background: linear-gradient(135deg, #fbbf24 0%, #f59e0b 100%);
-            -webkit-background-clip: text;
-            -webkit-text-fill-color: transparent;
-            background-clip: text;
-        }
-        
-        .header-text p {
-            font-size: 1.1rem !important;
-            color: #64748b !important;
-            margin-top: 0 !important;
-        }
-        
-        .footer-text {
-            padding: 1rem 0;
-        }
-        
-        .footer-text a {
-            color: #f59e0b !important;
-            text-decoration: none !important;
-            font-weight: 500;
-        }
-        
-        .footer-text a:hover {
-            text-decoration: underline !important;
-        }
-        
-        /* Mobile optimizations */
-        @media (max-width: 768px) {
-            .header-text h1 {
-                font-size: 1.8rem !important;
-            }
-            
-            .header-text p {
-                font-size: 1rem !important;
-            }
-        }
-        
-        /* Smooth transitions */
-        button, .gr-button {
-            transition: all 0.2s ease !important;
-        }
-        
-        button:hover, .gr-button:hover {
-            transform: translateY(-1px);
-            box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15) !important;
-        }
-        
-        /* Better spacing */
-        .gradio-container {
-            max-width: 1400px !important;
-            margin: 0 auto !important;
-        }
-        """,
-        footer_links=[
-            {"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"},
-            "api",
-            "gradio"
-        ]
-    )
+    demo.launch(mcp_server=True)