diff --git a/src/maxdiffusion/__init__.py b/src/maxdiffusion/__init__.py
index e9addadcc..ec561217a 100644
--- a/src/maxdiffusion/__init__.py
+++ b/src/maxdiffusion/__init__.py
@@ -41,10 +41,22 @@
 # This way `import diffusers` provides the names in the namespace without actually importing anything (and especially none of the backends).
 
 _import_structure = {
+    "aot_cache": [],
+    "checkpointing": [],
+    "common_types": [],
     "configuration_utils": ["ConfigMixin"],
+    "max_logging": [],
+    "max_utils": [],
+    "maxdiffusion_google": [],
+    "maxdiffusion_google_hub": [],
+    "maxdiffusion_utils": [],
     "models": [],
+    "multihost_dataloading": [],
     "pipelines": [],
+    "pyconfig": [],
     "schedulers": [],
+    "tpu_utils": [],
+    "train_utils": [],
     "utils": [
         "OptionalDependencyNotAvailable",
         "is_flax_available",
diff --git a/src/maxdiffusion/tests/models_import_test.py b/src/maxdiffusion/tests/models_import_test.py
new file mode 100644
index 000000000..3bd898cde
--- /dev/null
+++ b/src/maxdiffusion/tests/models_import_test.py
@@ -0,0 +1,88 @@
+"""
+Copyright 2026 Google LLC
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+     https://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+"""
+
+"""Exhaustive smoke test for MaxDiffusion lazy module imports and ML Diagnostics integration."""
+
+import unittest
+
+
+class ModelsImportTest(unittest.TestCase):
+  """Exhaustive smoke tests verifying _LazyModule import resolution for models, pipelines, schedulers, utilities, and ML Diagnostics."""
+
+  def test_import_flax_models(self):
+    from maxdiffusion.models import FlaxAutoencoderKL, FlaxUNet2DConditionModel, FlaxControlNetModel
+    self.assertIsNotNone(FlaxAutoencoderKL)
+    self.assertIsNotNone(FlaxUNet2DConditionModel)
+    self.assertIsNotNone(FlaxControlNetModel)
+
+  def test_import_pipelines_and_checkpointers(self):
+    from maxdiffusion.pipelines import FlaxStableDiffusionPipeline, FlaxStableDiffusionXLPipeline
+    self.assertIsNotNone(FlaxStableDiffusionPipeline)
+    self.assertIsNotNone(FlaxStableDiffusionXLPipeline)
+
+    from maxdiffusion.checkpointing.base_stable_diffusion_checkpointer import BaseStableDiffusionCheckpointer
+    self.assertIsNotNone(BaseStableDiffusionCheckpointer)
+
+  def test_import_schedulers(self):
+    from maxdiffusion.schedulers import FlaxDDIMScheduler, FlaxDDPMScheduler, FlaxDPMSolverMultistepScheduler
+    self.assertIsNotNone(FlaxDDIMScheduler)
+    self.assertIsNotNone(FlaxDDPMScheduler)
+    self.assertIsNotNone(FlaxDPMSolverMultistepScheduler)
+
+  def test_import_all_root_utilities(self):
+    from maxdiffusion import (
+        aot_cache,
+        checkpointing,
+        common_types,
+        configuration_utils,
+        max_logging,
+        max_utils,
+        maxdiffusion_google,
+        maxdiffusion_google_hub,
+        maxdiffusion_utils,
+        multihost_dataloading,
+        pyconfig,
+        tpu_utils,
+        train_utils,
+    )
+    self.assertIsNotNone(aot_cache)
+    self.assertIsNotNone(checkpointing)
+    self.assertIsNotNone(common_types)
+    self.assertIsNotNone(configuration_utils)
+    self.assertIsNotNone(max_logging)
+    self.assertIsNotNone(max_utils)
+    self.assertIsNotNone(maxdiffusion_google)
+    self.assertIsNotNone(maxdiffusion_google_hub)
+    self.assertIsNotNone(maxdiffusion_utils)
+    self.assertIsNotNone(multihost_dataloading)
+    self.assertIsNotNone(pyconfig)
+    self.assertIsNotNone(tpu_utils)
+    self.assertIsNotNone(train_utils)
+
+  def test_mldiagnostics_import_and_usage(self):
+    try:
+      from google_cloud_mldiagnostics import machinelearning_run, xprof
+      self.assertIsNotNone(machinelearning_run)
+    except ImportError:
+      pass
+
+    from maxdiffusion.max_utils import ensure_machinelearning_job_runs, profiler_enabled
+    self.assertIsNotNone(ensure_machinelearning_job_runs)
+    self.assertIsNotNone(profiler_enabled)
+
+
+if __name__ == "__main__":
+  unittest.main()