test gradio

app.py

@@ -9,7 +9,7 @@ token = os.getenv("HF_TOKEN")
 login(token=token)
 
 # Model IDs for Stable Diffusion 1.5 and ControlNet
-model_id = "runwayml/stable-diffusion-v1-5"  # Compatible with ControlNet
+model_id = "stabilityai/stable-diffusion-3.5-large-turbo"
 controlnet_id = "lllyasviel/control_v11p_sd15_inpaint"
 
 # Load the ControlNet model and Stable Diffusion pipeline
@@ -21,7 +21,7 @@ pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
 pipe = pipe.to("cuda")
 
 @spaces.GPU
-def generate_image(prompt, reference_image):
+def generate_image(prompt, reference_image,controlnet_conditioning_scale):
     # Prepare the reference image for ControlNet
     reference_image = reference_image.convert("RGB").resize((512, 512))
 
@@ -40,7 +40,8 @@ interface = gr.Interface(
     fn=generate_image,
     inputs=[
         gr.Textbox(label="Prompt"),
-        gr.Image(type="pil", label="Reference Image (Style)")
+        gr.Image(type="pil", label="Reference Image (Style)"),
+        gr.Slider(label="Control Net Conditioning Scale",minimum=0,maximum=1),
     ],
     outputs="image",
     title="Image Generation with Stable Diffusion 1.5 and ControlNet",