Update handler.py

handler.py

@@ -25,7 +25,7 @@ class EndpointHandler():
         # )
         # self.smooth_pipe.to("cuda")
 
-
+        """
         self.controlnet = ControlNetModel.from_pretrained(
             "lllyasviel/control_v11p_sd15_inpaint", torch_dtype=torch.float16
         )
@@ -38,8 +38,9 @@ class EndpointHandler():
         self.pipe.scheduler = EulerDiscreteScheduler.from_config(self.pipe.scheduler.config)
         self.pipe.enable_model_cpu_offload()
         self.pipe.enable_xformers_memory_efficient_attention()
-        
         """
+        
+        
         # load StableDiffusionInpaintPipeline pipeline
         self.pipe = AutoPipelineForInpainting.from_pretrained(
             "runwayml/stable-diffusion-inpainting",
@@ -155,8 +156,8 @@ class EndpointHandler():
             
         # return first generate PIL image
         return image
+        
         """
-
         control_image = self.make_inpaint_condition(image, mask_image)
 
         # generate image
@@ -173,6 +174,7 @@ class EndpointHandler():
         ).images[0]
 
         return image
+        """
         
     
     # helper to decode input image