Update app.py

app.py

@@ -438,7 +438,6 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        #gr.Markdown('<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_logo.png" alt="Qwen-Image Logo" width="400" style="display: block; margin: 0 auto;">')
         gr.HTML("""
         <div id="logo-title">
             <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_logo.png" alt="Qwen-Image Logo" width="400" style="display: block; margin: 0 auto;">
@@ -446,57 +445,55 @@ with gr.Blocks(css=css) as demo:
         </div>
         """)
         gr.Markdown("[Learn more](https://github.com/QwenLM/Qwen-Image) about the Qwen-Image series. Try on [Qwen Chat](https://chat.qwen.ai/), or [download model](https://huggingface.co/Qwen/Qwen-Image) to run locally with ComfyUI or diffusers.")
+        
         with gr.Row():
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                placeholder="Enter your prompt",
-                container=False,
-            )
-            run_button = gr.Button("Run", scale=0, variant="primary")
-
-        result = gr.Image(label="Result", show_label=False, type="pil")
-
-        with gr.Accordion("Advanced Settings", open=False):
-            # Negative prompt UI element is removed here
-
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-
-            with gr.Row():
-                aspect_ratio = gr.Radio(
-                    label="Aspect ratio (width:height)",
-                    choices=["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3"],
-                    value="16:9",
-                )
-                prompt_enhance = gr.Checkbox(label="Prompt Enhance", value=False)
-
-            with gr.Row():
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=1.0,
-                )
-
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=20,
-                    step=1,
-                    value=4,
+            with gr.Column(scale=1):
+                prompt = gr.Text(
+                    label="Prompt",
+                    show_label=False,
+                    placeholder="Enter your prompt",
+                    container=False,
                 )
+                run_button = gr.Button("Run", variant="primary")
+                
+                with gr.Accordion("Advanced Settings", open=False):
+                    seed = gr.Slider(
+                        label="Seed",
+                        minimum=0,
+                        maximum=MAX_SEED,
+                        step=1,
+                        value=0,
+                    )
+                    randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+                    with gr.Row():
+                        aspect_ratio = gr.Radio(
+                            label="Aspect ratio (width:height)",
+                            choices=["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3"],
+                            value="16:9",
+                        )
+                        prompt_enhance = gr.Checkbox(label="Prompt Enhance", value=False)
+                    with gr.Row():
+                        guidance_scale = gr.Slider(
+                            label="Guidance scale",
+                            minimum=0.0,
+                            maximum=10.0,
+                            step=0.1,
+                            value=1.0,
+                        )
+                        num_inference_steps = gr.Slider(
+                            label="Number of inference steps",
+                            minimum=1,
+                            maximum=20,
+                            step=1,
+                            value=4,
+                        )
+            
+            with gr.Column(scale=1):
+                result = gr.Image(label="Result", show_label=False, type="pil")
 
         gr.Examples(examples=examples, inputs=[prompt], outputs=[result, seed], fn=infer, cache_examples=False)
 
+
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,