Upload pipeline.py

pipeline.py

@@ -1017,6 +1017,10 @@ class StableDiffusionControlNetPipeline(
     def apply_effective_region_mask(
         self, effective_region_mask: torch.Tensor, out: torch.Tensor
     ) -> torch.Tensor:
+        print("downblock dtype")
+        print(out.dtype)
+        print("mask dtype")
+        print(effective_region_mask.dtype)
         if effective_region_mask is None:
             return out
 
@@ -1383,7 +1387,7 @@ class StableDiffusionControlNetPipeline(
             print(effective_region_mask.shape)
             print()
 
-            print(effective_region_mask)
+            print(max(effective_region_mask))
 
         # 5. Prepare timesteps
         timesteps, num_inference_steps = retrieve_timesteps(