update

tests/pipelines/stable_video_diffusion/test_stable_video_diffusion.py

@@ -22,7 +22,6 @@ from diffusers.utils import is_accelerate_available, is_accelerate_version, load
 from diffusers.utils.import_utils import is_xformers_available
 from diffusers.utils.testing_utils import (
     CaptureLogger,
-    disable_full_determinism,
     enable_full_determinism,
     floats_tensor,
     numpy_cosine_similarity_distance,
@@ -34,6 +33,9 @@ from diffusers.utils.testing_utils import (
 from ..test_pipelines_common import PipelineTesterMixin
 
 
+enable_full_determinism()
+
+
 def to_np(tensor):
     if isinstance(tensor, torch.Tensor):
         tensor = tensor.detach().cpu().numpy()
@@ -465,8 +467,6 @@ class StableVideoDiffusionPipelineFastTests(PipelineTesterMixin, unittest.TestCa
         reason="XFormers attention is only available with CUDA and `xformers` installed",
     )
     def test_xformers_attention_forwardGenerator_pass(self):
-        disable_full_determinism()
-
         expected_max_diff = 9e-4
 
         if not self.test_xformers_attention:
@@ -496,8 +496,6 @@ class StableVideoDiffusionPipelineFastTests(PipelineTesterMixin, unittest.TestCa
         max_diff = np.abs(to_np(output_with_offload) - to_np(output_without_offload)).max()
         self.assertLess(max_diff, expected_max_diff, "XFormers attention should not affect the inference results")
 
-        enable_full_determinism()
-
 
 @slow
 @require_torch_gpu