Update handler.py

handler.py

@@ -174,7 +174,7 @@ class EndpointHandler:
             # same type of inference operations multiple times.
             # For example, calling the compiled pipeline on a different image size
             # triggers compilation again which can be expensive.
-            self.image_to_video = torch.compile(self.image_to_video, mode="reduce-overhead", fullgraph=True)
+            #self.image_to_video = torch.compile(self.image_to_video, mode="reduce-overhead", fullgraph=True)
 
         else:
             print("EndpointHandler.__init__(): initializing LTXPipeline..")
@@ -193,7 +193,7 @@ class EndpointHandler:
             # same type of inference operations multiple times.
             # For example, calling the compiled pipeline on a different image size
             # triggers compilation again which can be expensive.
-            self.text_to_video = torch.compile(self.text_to_video, mode="reduce-overhead", fullgraph=True)
+            #self.text_to_video = torch.compile(self.text_to_video, mode="reduce-overhead", fullgraph=True)
 
 
         # Initialize LoRA tracking
@@ -324,9 +324,7 @@ class EndpointHandler:
                 - content-type: MIME type
                 - metadata: Generation metadata
         """
-        print("__call__(): inputs = data.get('inputs', dict())")
         inputs = data.get("inputs", dict())
-        print("inputs = ")
         print(inputs)
         
         input_prompt = inputs.get("prompt", "")