test gradio

app.py

@@ -34,18 +34,19 @@ def generate_image(prompt, reference_image, controlnet_conditioning_scale):
     )
     return generated_image
 
-# Set up Gradio interface
-interface = gr.Interface(
-    fn=generate_image,
-    inputs=[
-        gr.Textbox(label="Prompt"),
-        gr.Image( type= "pil",label="Reference Image (Style)"),
-        gr.Slider(label="Control Net Conditioning Scale", minimum=0, maximum=1.0, step=0.1, value=0.6),
-    ],
-    outputs="image",
-    title="Image Generation with Stable Diffusion 3 medium and ControlNet",
-    description="Generates an image based on a text prompt and a reference image using Stable Diffusion 3 medium with ControlNet."
-)
+# # Set up Gradio interface
+# interface = gr.Interface(
+#     fn=generate_image,
+#     inputs=[
+#         gr.Textbox(label="Prompt"),
+#         gr.Image( type= "pil",label="Reference Image (Style)"),
+#         gr.Slider(label="Control Net Conditioning Scale", minimum=0, maximum=1.0, step=0.1, value=0.6),
+#     ],
+#     outputs="image",
+#     title="Image Generation with Stable Diffusion 3 medium and ControlNet",
+#     description="Generates an image based on a text prompt and a reference image using Stable Diffusion 3 medium with ControlNet."
+# )
 
 # Launch the Gradio interface
-interface.launch()
+# interface.launch()
+gr.Interface.from_pipeline(pipe).launch()