Update app.py

app.py

@@ -114,7 +114,7 @@ pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Relight",
 
 pipe.transformer.set_attn_processor(QwenDoubleStreamAttnProcessorFA3())
 # It's recommended to run optimization after loading all weights
-# optimize_pipeline_(pipe, image=[Image.new("RGB", (1024, 1024)), Image.new("RGB", (1024, 1024))], prompt="prompt")
+optimize_pipeline_(pipe, image=[Image.new("RGB", (1024, 1024)), Image.new("RGB", (1024, 1024))], prompt="prompt")
 
 MAX_SEED = np.iinfo(np.int32).max
 
@@ -241,8 +241,8 @@ with gr.Blocks(css=css, theme=steel_blue_theme) as demo:
                     guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=1.0)
                     steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=4)
                     # Hidden sliders to hold image dimensions
-                    height = gr.Slider(label="Height", minimum=256, maximum=1024, step=8, value=1024, visible=False)
-                    width = gr.Slider(label="Width", minimum=256, maximum=1024, step=8, value=1024, visible=False)
+                    height = gr.Slider(label="Height", minimum=256, maximum=4096, step=8, value=1024, visible=True)
+                    width = gr.Slider(label="Width", minimum=256, maximum=4096, step=8, value=1024, visible=True)
                     
         gr.Examples(
             examples=[