test padding mode

handler.py

@@ -100,6 +100,12 @@ class EndpointHandler():
             self.pipe.controlnet = self.controlnet
         
         
+        targets = [self.pipe.vae, self.pipe.unet]
+        for target in targets:
+            for module in target.modules():
+                if isinstance(module, torch.nn.Conv2d):
+                    module.padding_mode = "circular"
+        
         # hyperparamters
         negatice_prompt = data.pop("negative_prompt", None)
         num_inference_steps = data.pop("num_inference_steps", 30)
@@ -131,8 +137,7 @@ class EndpointHandler():
             height=height,
             width=width,
             controlnet_conditioning_scale=controlnet_conditioning_scale,
-            generator=self.generator,
-            tiling=tiling
+            generator=self.generator
         )