Update handler.py

handler.py

@@ -17,22 +17,24 @@ class EndpointHandler():
 
         self.pipe = AutoPipelineForInpainting.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype=torch.float16, variant="fp16").to("cuda")
         self.generator = torch.Generator(device="cuda").manual_seed(0)
-        
+
+        """
         # load StableDiffusionInpaintPipeline pipeline
-        #self.pipe = AutoPipelineForInpainting.from_pretrained(
+        self.pipe = AutoPipelineForInpainting.from_pretrained(
             "runwayml/stable-diffusion-inpainting",
             revision="fp16",
             torch_dtype=torch.float16,
         )
         # use DPMSolverMultistepScheduler
-        #self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(self.pipe.scheduler.config)
+        self.pipe.scheduler = DPMSolverMultistepScheduler.from_config(self.pipe.scheduler.config)
         # move to device        
-        #self.pipe = self.pipe.to(device)
+        self.pipe = self.pipe.to(device)
 
-        #self.pipe2 = AutoPipelineForInpainting.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-        #self.pipe2.to("cuda")
+        self.pipe2 = AutoPipelineForInpainting.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+        self.pipe2.to("cuda")
 
-        #self.pipe3 = AutoPipelineForImage2Image.from_pipe(self.pipe2)
+        self.pipe3 = AutoPipelineForImage2Image.from_pipe(self.pipe2)
+        """