Update handler.py

handler.py

@@ -66,7 +66,6 @@ class EndpointHandler():
         self.pipe3 = AutoPipelineForImage2Image.from_pipe(self.pipe2)
         #self.pipe3.enable_model_cpu_offload()
         self.pipe3.enable_xformers_memory_efficient_attention()
-        """
 
 
     def __call__(self, data: Any) -> List[List[Dict[str, float]]]:
@@ -120,7 +119,7 @@ class EndpointHandler():
         """
 
         #pipe = AutoPipelineForInpainting.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype=torch.float16, variant="fp16").to("cuda")
-        """
+        
         # run inference pipeline
         out = self.pipe(prompt=prompt, negative_prompt=negative_prompt, image=image, mask_image=mask_image, num_inference_steps=num_inference_steps, guidance_scale=guidance_scale)