diff --git a/tests/test_models_vae.py b/tests/test_models_vae.py
index 9fb7e8ea3b..49610f8483 100644
--- a/tests/test_models_vae.py
+++ b/tests/test_models_vae.py
@@ -106,7 +106,21 @@ class AutoencoderKLTests(ModelTesterMixin, unittest.TestCase):
 
         # Since the VAE Gaussian prior's generator is seeded on the appropriate device,
         # the expected output slices are not the same for CPU and GPU.
-        if torch_device in ("mps", "cpu"):
+        if torch_device == "mps":
+            expected_output_slice = torch.tensor(
+                [
+                    -4.0078e-01,
+                    -3.8323e-04,
+                    -1.2681e-01,
+                    -1.1462e-01,
+                    2.0095e-01,
+                    1.0893e-01,
+                    -8.8247e-02,
+                    -3.0361e-01,
+                    -9.8644e-03,
+                ]
+            )
+        elif torch_device == "cpu":
             expected_output_slice = torch.tensor(
                 [-0.1352, 0.0878, 0.0419, -0.0818, -0.1069, 0.0688, -0.1458, -0.4446, -0.0026]
             )
diff --git a/tests/test_pipelines.py b/tests/test_pipelines.py
index 9d1c41eee9..025288e032 100644
--- a/tests/test_pipelines.py
+++ b/tests/test_pipelines.py
@@ -455,7 +455,13 @@ class PipelineFastTests(unittest.TestCase):
         text2img = StableDiffusionPipeline(**inpaint.components).to(torch_device)
 
         prompt = "A painting of a squirrel eating a burger"
-        generator = torch.Generator(device=torch_device).manual_seed(0)
+
+        # Device type MPS is not supported for torch.Generator() api.
+        if torch_device == "mps":
+            generator = torch.manual_seed(0)
+        else:
+            generator = torch.Generator(device=torch_device).manual_seed(0)
+
         image_inpaint = inpaint(
             [prompt],
             generator=generator,