diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index f1bb504cbf..de17f66abc 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -462,8 +462,8 @@ jobs:
       - name: Run CLOUD=1 Test
         run: |
           CLOUDDEV=CPU CLOUD=1 python3 -m pytest test/test_tiny.py test/test_jit.py
-          CLOUDDEV=GPU CLOUD=1 python3 -m pytest test/test_tiny.py test/test_jit.py
-          CLOUDDEV=GPU IMAGE=2 CLOUD=1 python3 test/test_tiny.py
+          CLOUDDEV=GPU CLOUD=1 python3 -m pytest test/test_tiny.py test/test_image_dtype.py test/test_jit.py
+          CLOUDDEV=GPU IMAGE=2 CLOUD=1 python3 -m pytest test/test_tiny.py test/test_image_dtype.py
       - name: Test Optimization Helpers
         run: PYTHONPATH="." DEBUG=1 python3 extra/optimization/test_helpers.py
       - name: Test Action Space
diff --git a/test/test_image_dtype.py b/test/test_image_dtype.py
index 568a17fcf8..574f3d67ff 100644
--- a/test/test_image_dtype.py
+++ b/test/test_image_dtype.py
@@ -6,7 +6,10 @@ from tinygrad.dtype import ImageDType
 from tinygrad.engine.realize import lower_schedule
 from tinygrad.helpers import prod, unwrap
 
-@unittest.skipIf(Device.DEFAULT not in ("QCOM", "GPU"), "only images on GPU")
+IMAGE_SUPPORTED_DEVICES = ("QCOM", "GPU")
+REAL_DEV = (Device.DEFAULT if Device.DEFAULT != "CLOUD" else Device['CLOUD'].properties['clouddev'])
+
+@unittest.skipUnless(REAL_DEV in IMAGE_SUPPORTED_DEVICES, "Images not supported")
 class TestImageCopy(unittest.TestCase):
   def test_image_copyout_1x1(self, img_type=dtypes.imagef):
     it = Tensor.arange(4).cast(img_type((1,1,4))).realize()
@@ -40,7 +43,7 @@ class TestImageCopy(unittest.TestCase):
 
     assert (it == it2).sum().item() == prod(sz)
 
-@unittest.skipIf(Device.DEFAULT not in ("QCOM", "GPU"), "only images on GPU")
+@unittest.skipUnless(REAL_DEV in IMAGE_SUPPORTED_DEVICES, "Images not supported")
 class TestImageDType(unittest.TestCase):
   def test_image_and_back(self):
     data = Tensor.randn(9*27*4).realize()
@@ -138,7 +141,7 @@ class TestImageDType(unittest.TestCase):
       self.assertEqual(w1.grad.lazydata.base.buffer.dtype, dtypes.float32)
       self.assertEqual(len(sched), 10)
 
-@unittest.skipIf(Device.DEFAULT not in ("QCOM", "GPU"), "only images on GPU")
+@unittest.skipUnless(REAL_DEV in IMAGE_SUPPORTED_DEVICES, "Images not supported")
 class TestImageRealization(unittest.TestCase):
   def test_image_dtype_expand(self):
     data = Tensor.randn(9*27*4).realize()