Upload pipeline.py

pipeline.py

@@ -1381,13 +1381,13 @@ class StableDiffusionControlNetPipeline(
         if effective_region_mask is not None:
             effective_region_mask = self.control_mask_processor.preprocess(
                 effective_region_mask, height=height, width=width
-            ).to(dtype=torch.float32)
+            )
 
             print("mask shape:")
             print(effective_region_mask.shape)
             print()
 
-            print(max(effective_region_mask))
+            print(torch.max(effective_region_mask))
 
         # 5. Prepare timesteps
         timesteps, num_inference_steps = retrieve_timesteps(