diff --git a/tests/models/test_models_unet_3d_condition.py b/tests/models/test_models_unet_3d_condition.py
index a92b8edd..ea71ae4a 100644
--- a/tests/models/test_models_unet_3d_condition.py
+++ b/tests/models/test_models_unet_3d_condition.py
@@ -23,6 +23,7 @@ from diffusers.models.attention_processor import LoRAAttnProcessor
 from diffusers.utils import (
     floats_tensor,
     logging,
+    skip_mps,
     torch_device,
 )
 from diffusers.utils.import_utils import is_xformers_available
@@ -60,6 +61,7 @@ def create_lora_layers(model):
     return lora_attn_procs
 
 
+@skip_mps
 class UNet3DConditionModelTests(ModelTesterMixin, unittest.TestCase):
     model_class = UNet3DConditionModel
 
diff --git a/tests/pipelines/text_to_video/test_text_to_video.py b/tests/pipelines/text_to_video/test_text_to_video.py
index eb43a360..e4331fda 100644
--- a/tests/pipelines/text_to_video/test_text_to_video.py
+++ b/tests/pipelines/text_to_video/test_text_to_video.py
@@ -35,6 +35,7 @@ from ...test_pipelines_common import PipelineTesterMixin
 torch.backends.cuda.matmul.allow_tf32 = False
 
 
+@skip_mps
 class TextToVideoSDPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     pipeline_class = TextToVideoSDPipeline
     params = TEXT_TO_IMAGE_PARAMS
@@ -155,12 +156,12 @@ class TextToVideoSDPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
     def test_num_images_per_prompt(self):
         pass
 
-    @skip_mps
     def test_progress_bar(self):
         return super().test_progress_bar()
 
 
 @slow
+@skip_mps
 class TextToVideoSDPipelineSlowTests(unittest.TestCase):
     def test_full_model(self):
         expected_video = load_numpy(