diff --git a/tests/test_layered.py b/tests/test_layered.py
index c3b886d..70f14c9 100644
--- a/tests/test_layered.py
+++ b/tests/test_layered.py
@@ -1,6 +1,6 @@
 """Tests for layered view."""
 
-# Copyright (C) 2024 Willy funcitra Hendria
+# Copyright (C) 2024 Willy Fitra Hendria
 # SPDX-License-Identifier: MIT
 
 import pytest
diff --git a/tests/test_lenet_style.py b/tests/test_lenet_style.py
new file mode 100644
index 0000000..d46ad3b
--- /dev/null
+++ b/tests/test_lenet_style.py
@@ -0,0 +1,73 @@
+"""Tests for lenet view."""
+
+# Copyright (C) 2024 Willy Fitra Hendria
+# SPDX-License-Identifier: MIT
+
+import pytest
+import torch
+import torch.nn.functional as func
+from torch import nn
+from visualtorch import lenet_view
+
+
+@pytest.fixture()
+def sequential_model() -> nn.Sequential:
+    """Define Sequential torch model for testing."""
+    return nn.Sequential(
+        nn.Conv2d(3, 64, 3, 1, 1),
+        nn.ReLU(),
+        nn.Conv2d(64, 128, 3, 1, 1),
+        nn.ReLU(),
+        nn.MaxPool2d(2, 2),
+    )
+
+
+@pytest.fixture()
+def module_list_model() -> nn.ModuleList:
+    """Define ModuleList-based torch model for testing."""
+    return nn.ModuleList(
+        [
+            nn.Conv2d(3, 64, 3, 1, 1),
+            nn.ReLU(),
+            nn.Conv2d(64, 128, 3, 1, 1),
+            nn.ReLU(),
+            nn.MaxPool2d(2, 2),
+        ],
+    )
+
+
+@pytest.fixture()
+def custom_model() -> nn.Module:
+    """Define the custom model."""
+
+    class CustomModel(nn.Module):
+        """A simple custom cnn model."""
+
+        def __init__(self) -> None:
+            super().__init__()
+            self.conv1 = nn.Conv2d(3, 64, 3, 1, 1)
+            self.conv2 = nn.Conv2d(64, 128, 3, 1, 1)
+
+        def forward(self, x: torch.Tensor) -> torch.Tensor:
+            """Funcorward pass."""
+            x = func.relu(self.conv1(x))
+            x = func.relu(self.conv2(x))
+            return func.max_pool2d(x, 2, 2)
+
+    # Create an instance of the custom model
+    return CustomModel()
+
+
+def test_sequential_model_lenet_view_runs(sequential_model: nn.Sequential) -> None:
+    """Test lenet view on sequential model."""
+    _ = lenet_view(sequential_model, input_shape=(1, 3, 224, 224))
+
+
+def test_module_list_model_lenet_view_runs(module_list_model: nn.ModuleList) -> None:
+    """Test lenet view on module list model."""
+    _ = lenet_view(module_list_model, input_shape=(1, 3, 224, 224))
+
+
+def test_custom_model_lenet_view_runs(custom_model: nn.Module) -> None:
+    """Test lenet view on custom model."""
+    _ = lenet_view(custom_model, input_shape=(1, 3, 224, 224))