diff --git a/src/maxdiffusion/tests/wan_transformer_test.py b/src/maxdiffusion/tests/wan_transformer_test.py
index ae638e059..3d1327c3b 100644
--- a/src/maxdiffusion/tests/wan_transformer_test.py
+++ b/src/maxdiffusion/tests/wan_transformer_test.py
@@ -37,6 +37,11 @@
 from ..models.attention_flax import FlaxWanAttention
 from maxdiffusion.pyconfig import HyperParameters
 from maxdiffusion.pipelines.wan.wan_pipeline import WanPipeline
+import qwix
+import flax
+
+flax.config.update('flax_always_shard_variable', False)
+RealQtRule = qwix.QtRule
 
 
 IN_GITHUB_ACTIONS = os.getenv("GITHUB_ACTIONS") == "true"
@@ -282,6 +287,10 @@ def test_get_qt_provider(self, mock_qt_rule):
     """
     Tests the provider logic for all config branches.
     """
+    def create_real_rule_instance(*args, **kwargs):
+        return RealQtRule(*args, **kwargs)
+    mock_qt_rule.side_effect = create_real_rule_instance
+
     # Case 1: Quantization disabled
     config_disabled = Mock(spec=HyperParameters)
     config_disabled.use_qwix_quantization = False
@@ -301,7 +310,7 @@ def test_get_qt_provider(self, mock_qt_rule):
     config_fp8 = Mock(spec=HyperParameters)
     config_fp8.use_qwix_quantization = True
     config_fp8.quantization = "fp8"
-    config_int8.qwix_module_path = ".*"
+    config_fp8.qwix_module_path = ".*"
     provider_fp8 = WanPipeline.get_qt_provider(config_fp8)
     self.assertIsNotNone(provider_fp8)
     mock_qt_rule.assert_called_once_with(module_path=".*", weight_qtype=jnp.float8_e4m3fn, act_qtype=jnp.float8_e4m3fn, op_names=("dot_general","einsum", "conv_general_dilated"))
@@ -312,7 +321,7 @@ def test_get_qt_provider(self, mock_qt_rule):
     config_fp8_full.use_qwix_quantization = True
     config_fp8_full.quantization = "fp8_full"
     config_fp8_full.quantization_calibration_method = "absmax"
-    config_int8.qwix_module_path = ".*"
+    config_fp8_full.qwix_module_path = ".*"
     provider_fp8_full = WanPipeline.get_qt_provider(config_fp8_full)
     self.assertIsNotNone(provider_fp8_full)
     expected_calls = [
@@ -361,6 +370,7 @@ def test_quantize_transformer_enabled(self, mock_get_dummy_inputs, mock_quantize
     mock_config.quantization = "fp8_full"
     mock_config.qwix_module_path = ".*"
     mock_config.per_device_batch_size = 1
+    mock_config.quantization_calibration_method = "absmax"
 
     mock_model = Mock(spec=WanModel)
     mock_pipeline = Mock()
diff --git a/src/maxdiffusion/tests/wan_vae_test.py b/src/maxdiffusion/tests/wan_vae_test.py
index 7b131e7fb..66d8dce9d 100644
--- a/src/maxdiffusion/tests/wan_vae_test.py
+++ b/src/maxdiffusion/tests/wan_vae_test.py
@@ -46,12 +46,13 @@
 from ..models.wan.wan_utils import load_wan_vae
 from ..utils import load_video
 from ..video_processor import VideoProcessor
+import flax
 
 THIS_DIR = os.path.dirname(os.path.abspath(__file__))
 
 CACHE_T = 2
 
-
+flax.config.update('flax_always_shard_variable', False)
 class TorchWanRMS_norm(nn.Module):
   r"""
   A custom RMS normalization layer.