Update app.py

app.py

@@ -67,22 +67,18 @@ def predict(input_image_path, prompt, negative_prompt, controlnet_scale):
     prompt = remove_color(prompt)
     print(prompt)
 
-    # Always use 1.0 for controlnet_conditioning_scale regardless of the input parameter
-    fixed_controlnet_scale = 1.0
-    
     output_image = pipe(
         image=resize_base_image,
         control_image=resize_image,
         strength=1.0,
         prompt=prompt,
         negative_prompt=negative_prompt,
-        controlnet_conditioning_scale=fixed_controlnet_scale,  # Use fixed value instead of the parameter
+        controlnet_conditioning_scale=float(controlnet_scale),
         generator=generator,
         num_inference_steps=40,
         eta=1.0,
     ).images[0]
     print(f"Time taken: {time.time() - last_time}")
-    print(f"Requested controlnet scale: {controlnet_scale}, Used scale: {fixed_controlnet_scale}")
     output_image = output_image.resize(input_image.size, Image.LANCZOS)
     return output_image