diff --git a/tests/pipelines/cosmos/test_cosmos.py b/tests/pipelines/cosmos/test_cosmos.py
index 0c1024a9a9f8..4d3202f78508 100644
--- a/tests/pipelines/cosmos/test_cosmos.py
+++ b/tests/pipelines/cosmos/test_cosmos.py
@@ -153,11 +153,15 @@ def test_inference(self):
         inputs = self.get_dummy_inputs(device)
         video = pipe(**inputs).frames
         generated_video = video[0]
-
         self.assertEqual(generated_video.shape, (9, 3, 32, 32))
-        expected_video = torch.randn(9, 3, 32, 32)
-        max_diff = np.abs(generated_video - expected_video).max()
-        self.assertLessEqual(max_diff, 1e10)
+
+        # fmt: off
+        expected_slice = torch.tensor([0.0, 0.9686, 0.8549, 0.8078, 0.0, 0.8431, 1.0, 0.4863, 0.7098, 0.1098, 0.8157, 0.4235, 0.6353, 0.2549, 0.5137, 0.5333])
+        # fmt: on
+
+        generated_slice = generated_video.flatten()
+        generated_slice = torch.cat([generated_slice[:8], generated_slice[-8:]])
+        self.assertTrue(torch.allclose(generated_slice, expected_slice, atol=1e-3))
 
     def test_callback_inputs(self):
         sig = inspect.signature(self.pipeline_class.__call__)
diff --git a/tests/pipelines/cosmos/test_cosmos2_text2image.py b/tests/pipelines/cosmos/test_cosmos2_text2image.py
index 386bf161a095..cc2fcec64175 100644
--- a/tests/pipelines/cosmos/test_cosmos2_text2image.py
+++ b/tests/pipelines/cosmos/test_cosmos2_text2image.py
@@ -140,11 +140,15 @@ def test_inference(self):
         inputs = self.get_dummy_inputs(device)
         image = pipe(**inputs).images
         generated_image = image[0]
-
         self.assertEqual(generated_image.shape, (3, 32, 32))
-        expected_video = torch.randn(3, 32, 32)
-        max_diff = np.abs(generated_image - expected_video).max()
-        self.assertLessEqual(max_diff, 1e10)
+
+        # fmt: off
+        expected_slice = torch.tensor([0.451, 0.451, 0.4471, 0.451, 0.451, 0.451, 0.451, 0.451, 0.4784, 0.4784, 0.4784, 0.4784, 0.4784, 0.4902, 0.4588, 0.5333])
+        # fmt: on
+
+        generated_slice = generated_image.flatten()
+        generated_slice = torch.cat([generated_slice[:8], generated_slice[-8:]])
+        self.assertTrue(torch.allclose(generated_slice, expected_slice, atol=1e-3))
 
     def test_callback_inputs(self):
         sig = inspect.signature(self.pipeline_class.__call__)
diff --git a/tests/pipelines/cosmos/test_cosmos2_video2world.py b/tests/pipelines/cosmos/test_cosmos2_video2world.py
index 421e3a1ad343..b23c8aed1734 100644
--- a/tests/pipelines/cosmos/test_cosmos2_video2world.py
+++ b/tests/pipelines/cosmos/test_cosmos2_video2world.py
@@ -147,11 +147,15 @@ def test_inference(self):
         inputs = self.get_dummy_inputs(device)
         video = pipe(**inputs).frames
         generated_video = video[0]
-
         self.assertEqual(generated_video.shape, (9, 3, 32, 32))
-        expected_video = torch.randn(9, 3, 32, 32)
-        max_diff = np.abs(generated_video - expected_video).max()
-        self.assertLessEqual(max_diff, 1e10)
+
+        # fmt: off
+        expected_slice = torch.tensor([0.451, 0.451, 0.4471, 0.451, 0.451, 0.451, 0.451, 0.451, 0.5098, 0.5137, 0.5176, 0.5098, 0.5255, 0.5412, 0.5098, 0.5059])
+        # fmt: on
+
+        generated_slice = generated_video.flatten()
+        generated_slice = torch.cat([generated_slice[:8], generated_slice[-8:]])
+        self.assertTrue(torch.allclose(generated_slice, expected_slice, atol=1e-3))
 
     def test_components_function(self):
         init_components = self.get_dummy_components()
diff --git a/tests/pipelines/cosmos/test_cosmos_video2world.py b/tests/pipelines/cosmos/test_cosmos_video2world.py
index 2b893e99700e..d0dba5575bb7 100644
--- a/tests/pipelines/cosmos/test_cosmos_video2world.py
+++ b/tests/pipelines/cosmos/test_cosmos_video2world.py
@@ -159,11 +159,15 @@ def test_inference(self):
         inputs = self.get_dummy_inputs(device)
         video = pipe(**inputs).frames
         generated_video = video[0]
-
         self.assertEqual(generated_video.shape, (9, 3, 32, 32))
-        expected_video = torch.randn(9, 3, 32, 32)
-        max_diff = np.abs(generated_video - expected_video).max()
-        self.assertLessEqual(max_diff, 1e10)
+
+        # fmt: off
+        expected_slice = torch.tensor([0.0, 0.8275, 0.7529, 0.7294, 0.0, 0.6, 1.0, 0.3804, 0.6667, 0.0863, 0.8784, 0.5922, 0.6627, 0.2784, 0.5725, 0.7765])
+        # fmt: on
+
+        generated_slice = generated_video.flatten()
+        generated_slice = torch.cat([generated_slice[:8], generated_slice[-8:]])
+        self.assertTrue(torch.allclose(generated_slice, expected_slice, atol=1e-3))
 
     def test_components_function(self):
         init_components = self.get_dummy_components()