diff --git a/src/maxdiffusion/tests/wan_transformer_test.py b/src/maxdiffusion/tests/wan_transformer_test.py
index 07da52652..b6a73ee5d 100644
--- a/src/maxdiffusion/tests/wan_transformer_test.py
+++ b/src/maxdiffusion/tests/wan_transformer_test.py
@@ -13,7 +13,6 @@
  See the License for the specific language governing permissions and
  limitations under the License.
  """
-from qwix import QtProvider
 import os
 import jax
 import jax.numpy as jnp
@@ -277,7 +276,8 @@ def test_wan_model(self):
       )
     assert dummy_output.shape == hidden_states_shape
 
-  def test_get_qt_provider(self):
+  @patch('maxdiffusion.pipelines.wan.wan_pipeline.qwix.QtRule')
+  def test_get_qt_provider(self, mock_qt_rule):
     """
     Tests the provider logic for all config branches.
     """
@@ -290,26 +290,46 @@ def test_get_qt_provider(self):
     config_int8 = Mock(spec=HyperParameters)
     config_int8.use_qwix_quantization = True
     config_int8.quantization = "int8"
-    provider_int8:QtProvider = WanPipeline.get_qt_provider(config_int8)
+    provider_int8 = WanPipeline.get_qt_provider(config_int8)
     self.assertIsNotNone(provider_int8)
-    self.assertEqual(provider_int8._rules[0].weight_qtype, jnp.int8)
+    mock_qt_rule.assert_called_once_with(
+      module_path='.*',
+      weight_qtype=jnp.int8,
+      act_qtype=jnp.int8
+    )
 
     # Case 3: Quantization enabled, type 'fp8'
+    mock_qt_rule.reset_mock()
     config_fp8 = Mock(spec=HyperParameters)
     config_fp8.use_qwix_quantization = True
     config_fp8.quantization = "fp8"
     provider_fp8 = WanPipeline.get_qt_provider(config_fp8)
     self.assertIsNotNone(provider_fp8)
-    self.assertEqual(provider_fp8.rules[0].kwargs['weight_qtype'], jnp.float8_e4m3fn)
+    mock_qt_rule.assert_called_once_with(
+      module_path='.*',
+      weight_qtype=jnp.float8_e4m3fn,
+      act_qtype=jnp.float8_e4m3fn
+    )
 
     # Case 4: Quantization enabled, type 'fp8_full'
+    mock_qt_rule.reset_mock()
     config_fp8_full = Mock(spec=HyperParameters)
     config_fp8_full.use_qwix_quantization = True
     config_fp8_full.quantization = "fp8_full"
     config_fp8_full.quantization_calibration_method = "absmax"
     provider_fp8_full = WanPipeline.get_qt_provider(config_fp8_full)
     self.assertIsNotNone(provider_fp8_full)
-    self.assertEqual(provider_fp8_full.rules[0].kwargs['bwd_qtype'], jnp.float8_e5m2)
+    mock_qt_rule.assert_called_once_with(
+      module_path='.*',  # Apply to all modules
+      weight_qtype=jnp.float8_e4m3fn,
+      act_qtype=jnp.float8_e4m3fn,
+      bwd_qtype=jnp.float8_e5m2,
+      bwd_use_original_residuals=True,
+      disable_channelwise_axes=True, # per_tensor calibration
+      weight_calibration_method = config_fp8_full.quantization_calibration_method,
+      act_calibration_method = config_fp8_full.quantization_calibration_method,
+      bwd_calibration_method = config_fp8_full.quantization_calibration_method,
+    )
 
     # Case 5: Invalid quantization type
     config_invalid = Mock(spec=HyperParameters)
@@ -333,6 +353,8 @@ def test_quantize_transformer_enabled(self, mock_get_dummy_inputs, mock_quantize
     mock_model = Mock(spec=WanModel)
     mock_pipeline = Mock()
     mock_mesh = Mock()
+    mock_mesh.__enter__ = Mock(return_value=None)
+    mock_mesh.__exit__ = Mock(return_value=None)
 
     # Mock the return values of dependencies
     mock_get_dummy_inputs.return_value = (Mock(), Mock(), Mock())