diff --git a/tests/pipelines/unidiffuser/test_unidiffuser.py b/tests/pipelines/unidiffuser/test_unidiffuser.py
index 281419469d..9c0585d501 100644
--- a/tests/pipelines/unidiffuser/test_unidiffuser.py
+++ b/tests/pipelines/unidiffuser/test_unidiffuser.py
@@ -422,6 +422,29 @@ class UniDiffuserPipelineSlowTests(unittest.TestCase):
             "output_type": "numpy",
         }
         return inputs
+    
+    def test_unidiffuser_default_joint(self):
+        pipe = UniDiffuserPipeline.from_pretrained("dg845/unidiffuser-diffusers")
+        pipe.to(torch_device)
+        pipe.set_progress_bar_config(disable=None)
+        pipe.enable_attention_slicing()
+
+        # inputs = self.get_dummy_inputs(device)
+        inputs = self.get_inputs()
+        # Delete prompt and image for joint inference.
+        del inputs["prompt"]
+        del inputs["image"]
+        sample = pipe(**inputs)
+        image = sample.images
+        text = sample.text
+        assert image.shape == (1, 512, 512, 3)
+
+        image_slice = image[0, -3:, -3:, -1]
+        expected_img_slice = np.array([0.8887, 0.8926, 0.8672, 0.8984, 0.8867, 0.8564, 0.9043, 0.8887, 0.8657])
+        assert np.abs(image_slice.flatten() - expected_img_slice).max() < 1e-3
+
+        expected_text_prefix = "Pink pink "
+        assert text[0][:10] == expected_text_prefix
 
     def test_unidiffuser_default_text2img(self):
         pipe = UniDiffuserPipeline.from_pretrained("dg845/unidiffuser-diffusers")
@@ -436,8 +459,7 @@ class UniDiffuserPipelineSlowTests(unittest.TestCase):
         assert image.shape == (1, 512, 512, 3)
 
         image_slice = image[0, -3:, -3:, -1]
-        # TODO: get correct image slice
-        expected_slice = np.array([0.3965, 0.4568, 0.4495, 0.4590, 0.4465, 0.4690, 0.5454, 0.5093, 0.4321])
+        expected_slice = np.array([0.4702, 0.4666, 0.4446, 0.4829, 0.4468, 0.4565, 0.4663, 0.4956, 0.4277])
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-3
 
     def test_unidiffuser_default_img2text(self):
@@ -451,6 +473,5 @@ class UniDiffuserPipelineSlowTests(unittest.TestCase):
         sample = pipe(**inputs)
         text = sample.images
 
-        # TODO: get correct text prefix
-        expected_text_prefix = " no no no "
+        expected_text_prefix = "Astronaut "
         assert text[0][:10] == expected_text_prefix