Update handler.py

handler.py

@@ -44,7 +44,7 @@ class EndpointHandler():
         height = data.get("height", None)
         num_inference_steps = data.get("steps", 30)
         guidance_scale = data.get("cfg_scale", 7)
-        sampler_index = data.get("sampler_index", "DPM++ 2M Karras")  # Default to "DPM++ 2M Karras" if not provided
+        
         
        
         # Extract controlnet configuration from payload
@@ -61,7 +61,7 @@ class EndpointHandler():
             width=width,
             controlnet_conditioning_scale=1.0,
             generator=self.generator,
-            sampler_index=sampler_index  # Pass the sampler_index to the stable diffusion process
+        
         )
 
         # Get the generated image