diff --git a/src/maxdiffusion/tests/wan_transformer_test.py b/src/maxdiffusion/tests/wan_transformer_test.py
index eddf8bf94..b6a73ee5d 100644
--- a/src/maxdiffusion/tests/wan_transformer_test.py
+++ b/src/maxdiffusion/tests/wan_transformer_test.py
@@ -13,8 +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
@@ -292,7 +290,7 @@ def test_get_qt_provider(self, mock_qt_rule):
     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)
     mock_qt_rule.assert_called_once_with(
       module_path='.*',
@@ -307,7 +305,11 @@ def test_get_qt_provider(self, mock_qt_rule):
     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()
@@ -317,7 +319,17 @@ def test_get_qt_provider(self, mock_qt_rule):
     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)
@@ -326,8 +338,8 @@ def test_get_qt_provider(self, mock_qt_rule):
     self.assertIsNone(WanPipeline.get_qt_provider(config_invalid))
 
   # To test quantize_transformer, we patch its external dependencies
-  @patch("maxdiffusion.pipelines.wan.wan_pipeline.qwix.quantize_model")
-  @patch("maxdiffusion.pipelines.wan.wan_pipeline.get_dummy_wan_inputs")
+  @patch('maxdiffusion.pipelines.wan.wan_pipeline.qwix.quantize_model')
+  @patch('maxdiffusion.pipelines.wan.wan_pipeline.get_dummy_wan_inputs')
   def test_quantize_transformer_enabled(self, mock_get_dummy_inputs, mock_quantize_model):
     """
     Tests that quantize_transformer calls qwix when quantization is enabled.
@@ -358,14 +370,14 @@ def test_quantize_transformer_enabled(self, mock_get_dummy_inputs, mock_quantize
     # Check that the model returned is the new quantized model
     self.assertIs(result, mock_quantized_model_obj)
 
-  @patch("maxdiffusion.pipelines.wan.wan_pipeline.qwix.quantize_model")
+  @patch('maxdiffusion.pipelines.wan.wan_pipeline.qwix.quantize_model')
   def test_quantize_transformer_disabled(self, mock_quantize_model):
     """
     Tests that quantize_transformer is skipped when quantization is disabled.
     """
     # Setup Mocks
     mock_config = Mock(spec=HyperParameters)
-    mock_config.use_qwix_quantization = False  # Main condition for this test
+    mock_config.use_qwix_quantization = False # Main condition for this test
 
     mock_model = Mock(spec=WanModel)