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