diff --git a/.gitignore b/.gitignore
index a4b6895..7c6fb56 100644
--- a/.gitignore
+++ b/.gitignore
@@ -28,4 +28,64 @@ Wan2.1-T2V-14B/
 Wan2.1-T2V-1.3B/
 Wan2.1-I2V-14B-480P/
 Wan2.1-I2V-14B-720P/
-Phantom-Wan-1.3B/
\ No newline at end of file
+Phantom-Wan-1.3B/
+
+# Testing
+.pytest_cache/
+.coverage
+htmlcov/
+coverage.xml
+*.cover
+*.py.cover
+.hypothesis/
+.tox/
+.nox/
+.cache
+nosetests.xml
+coverage/
+
+# Claude
+.claude/
+
+# Virtual environments
+venv/
+.venv/
+env/
+ENV/
+env.bak/
+venv.bak/
+.python-version
+
+# IDE and editors
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+.project
+.pydevproject
+.settings/
+
+# Build artifacts
+build/
+dist/
+*.egg-info/
+*.egg
+eggs/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+
+# MyPy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..1e28efc
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,4034 @@
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+
+[[package]]
+name = "accelerate"
+version = "1.7.0"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.9.0"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
+huggingface-hub = ">=0.21.0"
+numpy = ">=1.17,<3.0.0"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=2.0.0"
+
+[package.extras]
+deepspeed = ["deepspeed"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.11.2,<0.12.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<0.12.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "tensorboard", "wandb"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+
+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+description = "File support for asyncio."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+
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+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+
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+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.1"
+
+[[package]]
+name = "yunchang"
+version = "0.6.3.post1"
+description = "a package for long context attention"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "yunchang-0.6.3.post1-py3-none-any.whl", hash = "sha256:4e6f5878d63c525ece927345f8fe1989abe304e4b446f883be3224a230db1397"},
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+]
+
+[package.extras]
+flash = ["flash-attn (>=2.6.0)"]
+
+[[package]]
+name = "zipp"
+version = "3.23.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[extras]
+cuda = ["flash-attn"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.10"
+content-hash = "5dd8a2a9a206a6614f9d6083ae31c2799698d47b444c66ef3345df59406e35a5"
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..038da6e
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,172 @@
+[tool.poetry]
+name = "phantom-wan"
+version = "0.1.0"
+description = "Phantom - Subject-Consistent Video Generation with Wan2.1"
+authors = ["Phantom Contributors"]
+readme = "README.md"
+packages = [{include = "phantom_wan"}]
+
+[tool.poetry.dependencies]
+python = "^3.10"
+torch = ">=2.4.0"
+torchvision = ">=0.19.0"
+opencv-python = ">=4.9.0.80"
+diffusers = ">=0.31.0"
+transformers = ">=4.49.0"
+tokenizers = ">=0.20.3"
+accelerate = ">=1.1.1"
+tqdm = "*"
+imageio = "*"
+easydict = "*"
+ftfy = "*"
+dashscope = "*"
+imageio-ffmpeg = "*"
+flash-attn = {version = "*", optional = true}
+gradio = ">=5.0.0"
+numpy = ">=1.23.5,<2"
+xfuser = ">=0.4.1"
+
+[tool.poetry.extras]
+cuda = ["flash-attn"]
+
+[tool.poetry.group.dev.dependencies]
+pytest = "^8.0.0"
+pytest-cov = "^5.0.0"
+pytest-mock = "^3.14.0"
+pytest-xdist = "^3.6.0"
+pytest-timeout = "^2.3.0"
+black = "^24.0.0"
+isort = "^5.13.0"
+flake8 = "^7.0.0"
+mypy = "^1.10.0"
+pre-commit = "^3.7.0"
+
+[tool.poetry.scripts]
+test = "pytest:main"
+tests = "pytest:main"
+
+[tool.pytest.ini_options]
+minversion = "8.0"
+testpaths = ["tests"]
+python_files = ["test_*.py", "*_test.py", "tests.py"]
+python_classes = ["Test*", "*Tests"]
+python_functions = ["test_*", "*_test"]
+addopts = [
+    "-ra",
+    "--strict-markers",
+    "--strict-config",
+    "--tb=short",
+    "--maxfail=1",
+    "-v",
+]
+markers = [
+    "unit: Unit tests",
+    "integration: Integration tests",
+    "slow: Slow running tests",
+    "gpu: Tests requiring GPU",
+    "network: Tests requiring network access",
+]
+filterwarnings = [
+    "error",
+    "ignore::UserWarning",
+    "ignore::DeprecationWarning",
+]
+norecursedirs = [".git", ".tox", "dist", "build", "*.egg", "__pycache__"]
+
+[tool.coverage.run]
+source = ["phantom_wan"]
+branch = true
+parallel = true
+omit = [
+    "*/tests/*",
+    "*/test_*",
+    "*/__init__.py",
+    "*/setup.py",
+    "*/conftest.py",
+    "*/.venv/*",
+    "*/venv/*",
+    "*/site-packages/*",
+]
+
+[tool.coverage.report]
+precision = 2
+show_missing = true
+skip_covered = false
+fail_under = 80
+exclude_lines = [
+    "pragma: no cover",
+    "def __repr__",
+    "def __str__",
+    "raise AssertionError",
+    "raise NotImplementedError",
+    "if __name__ == .__main__.:",
+    "if TYPE_CHECKING:",
+    "if typing.TYPE_CHECKING:",
+    "@abstractmethod",
+    "@abc.abstractmethod",
+    "except ImportError:",
+    "except KeyError:",
+    "except BaseException:",
+    "if self.debug:",
+    "if settings.DEBUG",
+    "pass",
+]
+
+[tool.coverage.html]
+directory = "htmlcov"
+
+[tool.coverage.xml]
+output = "coverage.xml"
+
+[tool.isort]
+profile = "black"
+multi_line_output = 3
+include_trailing_comma = true
+force_grid_wrap = 0
+use_parentheses = true
+ensure_newline_before_comments = true
+line_length = 88
+skip_gitignore = true
+known_first_party = ["phantom_wan"]
+
+[tool.black]
+line-length = 88
+target-version = ['py38', 'py39', 'py310', 'py311']
+include = '\.pyi?$'
+extend-exclude = '''
+/(
+  # directories
+  \.eggs
+  | \.git
+  | \.hg
+  | \.mypy_cache
+  | \.tox
+  | \.venv
+  | build
+  | dist
+)/
+'''
+
+[tool.mypy]
+python_version = "3.8"
+warn_return_any = true
+warn_unused_configs = true
+disallow_untyped_defs = false
+disallow_incomplete_defs = false
+check_untyped_defs = true
+disallow_untyped_decorators = false
+no_implicit_optional = true
+warn_redundant_casts = true
+warn_unused_ignores = true
+warn_no_return = true
+warn_unreachable = true
+strict_equality = true
+ignore_missing_imports = true
+pretty = true
+show_error_codes = true
+show_error_context = true
+show_column_numbers = true
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"
\ No newline at end of file
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 0000000..3ee687d
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,202 @@
+import os
+import tempfile
+import shutil
+from pathlib import Path
+from typing import Generator, Dict, Any
+from unittest.mock import MagicMock
+
+import pytest
+import torch
+import numpy as np
+from PIL import Image
+
+
+@pytest.fixture
+def temp_dir() -> Generator[Path, None, None]:
+    """Create a temporary directory for test files."""
+    temp_dir = tempfile.mkdtemp()
+    yield Path(temp_dir)
+    shutil.rmtree(temp_dir)
+
+
+@pytest.fixture
+def mock_config() -> Dict[str, Any]:
+    """Mock configuration dictionary for testing."""
+    return {
+        "model": {
+            "name": "phantom-wan",
+            "version": "2.1",
+            "num_frames": 16,
+            "frame_rate": 8,
+            "resolution": [512, 512],
+        },
+        "inference": {
+            "batch_size": 1,
+            "guidance_scale": 7.5,
+            "num_inference_steps": 50,
+            "seed": 42,
+        },
+        "paths": {
+            "model_dir": "/tmp/models",
+            "output_dir": "/tmp/outputs",
+            "cache_dir": "/tmp/cache",
+        },
+    }
+
+
+@pytest.fixture
+def sample_image(temp_dir: Path) -> Path:
+    """Create a sample image for testing."""
+    img_path = temp_dir / "sample_image.png"
+    img = Image.new("RGB", (512, 512), color=(128, 128, 128))
+    img.save(img_path)
+    return img_path
+
+
+@pytest.fixture
+def sample_video_frames(temp_dir: Path) -> Path:
+    """Create sample video frames for testing."""
+    frames_dir = temp_dir / "frames"
+    frames_dir.mkdir(exist_ok=True)
+    
+    for i in range(16):
+        img = Image.new("RGB", (512, 512), color=(i * 16, i * 16, i * 16))
+        img.save(frames_dir / f"frame_{i:04d}.png")
+    
+    return frames_dir
+
+
+@pytest.fixture
+def mock_torch_tensor() -> torch.Tensor:
+    """Create a mock torch tensor for testing."""
+    return torch.randn(1, 3, 512, 512)
+
+
+@pytest.fixture
+def mock_numpy_array() -> np.ndarray:
+    """Create a mock numpy array for testing."""
+    return np.random.rand(512, 512, 3).astype(np.float32)
+
+
+@pytest.fixture
+def mock_model():
+    """Create a mock model for testing."""
+    model = MagicMock()
+    model.device = torch.device("cpu")
+    model.dtype = torch.float32
+    model.eval = MagicMock(return_value=model)
+    model.train = MagicMock(return_value=model)
+    model.forward = MagicMock(return_value=torch.randn(1, 3, 16, 512, 512))
+    return model
+
+
+@pytest.fixture
+def mock_pipeline():
+    """Create a mock pipeline for testing."""
+    pipeline = MagicMock()
+    pipeline.device = torch.device("cpu")
+    pipeline.dtype = torch.float32
+    # Configure the mock to return the expected result when called
+    pipeline.return_value = {"frames": [np.zeros((512, 512, 3)) for _ in range(16)]}
+    return pipeline
+
+
+@pytest.fixture
+def env_vars():
+    """Set up and clean up environment variables for testing."""
+    original_env = os.environ.copy()
+    
+    # Set test environment variables
+    os.environ["CUDA_VISIBLE_DEVICES"] = ""
+    os.environ["HF_HOME"] = "/tmp/test_hf_home"
+    os.environ["TRANSFORMERS_CACHE"] = "/tmp/test_transformers_cache"
+    
+    yield os.environ
+    
+    # Restore original environment
+    os.environ.clear()
+    os.environ.update(original_env)
+
+
+@pytest.fixture
+def gpu_available():
+    """Check if GPU is available for testing."""
+    return torch.cuda.is_available()
+
+
+@pytest.fixture
+def capture_logs():
+    """Capture log messages during tests."""
+    import logging
+    from io import StringIO
+    
+    log_capture_string = StringIO()
+    ch = logging.StreamHandler(log_capture_string)
+    ch.setLevel(logging.DEBUG)
+    
+    # Get root logger
+    logger = logging.getLogger()
+    logger.addHandler(ch)
+    logger.setLevel(logging.DEBUG)
+    
+    yield log_capture_string
+    
+    # Clean up
+    logger.removeHandler(ch)
+
+
+@pytest.fixture(autouse=True)
+def reset_torch_seed():
+    """Reset torch random seed before each test."""
+    torch.manual_seed(42)
+    if torch.cuda.is_available():
+        torch.cuda.manual_seed_all(42)
+    np.random.seed(42)
+
+
+@pytest.fixture
+def mock_gradio_interface():
+    """Create a mock Gradio interface for testing."""
+    interface = MagicMock()
+    interface.launch = MagicMock(return_value=(None, "http://127.0.0.1:7860", None))
+    interface.close = MagicMock()
+    return interface
+
+
+@pytest.fixture
+def mock_transformers_model():
+    """Create a mock transformers model for testing."""
+    model = MagicMock()
+    model.config = MagicMock()
+    model.config.hidden_size = 768
+    model.config.num_hidden_layers = 12
+    model.device = torch.device("cpu")
+    model.dtype = torch.float32
+    return model
+
+
+@pytest.fixture
+def mock_tokenizer():
+    """Create a mock tokenizer for testing."""
+    tokenizer = MagicMock()
+    tokenizer.pad_token_id = 0
+    tokenizer.eos_token_id = 1
+    tokenizer.encode = MagicMock(return_value=[101, 102, 103])
+    tokenizer.decode = MagicMock(return_value="test text")
+    tokenizer.__call__ = MagicMock(
+        return_value={
+            "input_ids": torch.tensor([[101, 102, 103]]),
+            "attention_mask": torch.tensor([[1, 1, 1]]),
+        }
+    )
+    return tokenizer
+
+
+# Markers for different test categories
+def pytest_configure(config):
+    """Configure pytest with custom markers."""
+    config.addinivalue_line("markers", "unit: Unit tests")
+    config.addinivalue_line("markers", "integration: Integration tests")
+    config.addinivalue_line("markers", "slow: Slow running tests")
+    config.addinivalue_line("markers", "gpu: Tests requiring GPU")
+    config.addinivalue_line("markers", "network: Tests requiring network access")
\ No newline at end of file
diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_setup_validation.py b/tests/test_setup_validation.py
new file mode 100644
index 0000000..8c1554a
--- /dev/null
+++ b/tests/test_setup_validation.py
@@ -0,0 +1,198 @@
+import sys
+import os
+from pathlib import Path
+
+import pytest
+import torch
+import numpy as np
+from PIL import Image
+
+
+class TestSetupValidation:
+    """Validation tests to ensure the testing infrastructure is properly set up."""
+    
+    @pytest.mark.unit
+    def test_python_version(self):
+        """Test that Python version is compatible."""
+        assert sys.version_info >= (3, 8), "Python 3.8+ is required"
+    
+    @pytest.mark.unit
+    def test_project_structure(self):
+        """Test that the project structure is as expected."""
+        workspace_path = Path("/workspace")
+        assert workspace_path.exists(), "Workspace directory should exist"
+        
+        # Check main package
+        phantom_wan_path = workspace_path / "phantom_wan"
+        assert phantom_wan_path.exists(), "phantom_wan package should exist"
+        assert (phantom_wan_path / "__init__.py").exists(), "phantom_wan should be a package"
+        
+        # Check test structure
+        tests_path = workspace_path / "tests"
+        assert tests_path.exists(), "tests directory should exist"
+        assert (tests_path / "__init__.py").exists(), "tests should be a package"
+        assert (tests_path / "unit").exists(), "unit tests directory should exist"
+        assert (tests_path / "integration").exists(), "integration tests directory should exist"
+    
+    @pytest.mark.unit
+    def test_conftest_fixtures(self, temp_dir, mock_config, sample_image):
+        """Test that conftest fixtures are working properly."""
+        # Test temp_dir fixture
+        assert temp_dir.exists(), "Temporary directory should exist"
+        assert temp_dir.is_dir(), "temp_dir should be a directory"
+        
+        # Test mock_config fixture
+        assert isinstance(mock_config, dict), "mock_config should be a dictionary"
+        assert "model" in mock_config, "mock_config should have model section"
+        assert mock_config["model"]["name"] == "phantom-wan", "mock_config should have correct model name"
+        
+        # Test sample_image fixture
+        assert sample_image.exists(), "Sample image should exist"
+        assert sample_image.suffix == ".png", "Sample image should be PNG"
+        
+        # Verify image can be loaded
+        img = Image.open(sample_image)
+        assert img.size == (512, 512), "Sample image should be 512x512"
+    
+    @pytest.mark.unit
+    def test_torch_fixtures(self, mock_torch_tensor, mock_model):
+        """Test PyTorch-related fixtures."""
+        # Test tensor fixture
+        assert isinstance(mock_torch_tensor, torch.Tensor), "Should be a torch tensor"
+        assert mock_torch_tensor.shape == (1, 3, 512, 512), "Tensor should have correct shape"
+        
+        # Test model fixture
+        assert hasattr(mock_model, "device"), "Model should have device attribute"
+        assert hasattr(mock_model, "forward"), "Model should have forward method"
+        
+        # Test model forward pass
+        output = mock_model.forward(mock_torch_tensor)
+        assert isinstance(output, torch.Tensor), "Model output should be a tensor"
+    
+    @pytest.mark.unit
+    def test_numpy_fixtures(self, mock_numpy_array):
+        """Test NumPy-related fixtures."""
+        assert isinstance(mock_numpy_array, np.ndarray), "Should be a numpy array"
+        assert mock_numpy_array.shape == (512, 512, 3), "Array should have correct shape"
+        assert mock_numpy_array.dtype == np.float32, "Array should be float32"
+    
+    @pytest.mark.unit
+    def test_env_vars_fixture(self, env_vars):
+        """Test environment variables fixture."""
+        assert "CUDA_VISIBLE_DEVICES" in env_vars, "CUDA_VISIBLE_DEVICES should be set"
+        assert env_vars["CUDA_VISIBLE_DEVICES"] == "", "CUDA_VISIBLE_DEVICES should be empty for CPU testing"
+        assert "HF_HOME" in env_vars, "HF_HOME should be set"
+    
+    @pytest.mark.unit
+    def test_capture_logs_fixture(self, capture_logs):
+        """Test log capture fixture."""
+        import logging
+        
+        logger = logging.getLogger(__name__)
+        test_message = "Test log message"
+        logger.info(test_message)
+        
+        log_contents = capture_logs.getvalue()
+        assert test_message in log_contents, "Log message should be captured"
+    
+    @pytest.mark.unit
+    def test_video_frames_fixture(self, sample_video_frames):
+        """Test video frames fixture."""
+        assert sample_video_frames.exists(), "Frames directory should exist"
+        
+        frames = list(sample_video_frames.glob("*.png"))
+        assert len(frames) == 16, "Should have 16 frames"
+        
+        # Check first frame
+        first_frame = Image.open(frames[0])
+        assert first_frame.size == (512, 512), "Frame should be 512x512"
+    
+    @pytest.mark.unit
+    def test_mock_pipeline_fixture(self, mock_pipeline):
+        """Test mock pipeline fixture."""
+        assert hasattr(mock_pipeline, "__call__"), "Pipeline should be callable"
+        
+        result = mock_pipeline()
+        assert "frames" in result, "Pipeline should return frames"
+        assert len(result["frames"]) == 16, "Pipeline should return 16 frames"
+    
+    @pytest.mark.unit
+    def test_imports(self):
+        """Test that key dependencies can be imported."""
+        required_imports = [
+            "torch",
+            "torchvision",
+            "cv2",
+            "diffusers",
+            "transformers",
+            "accelerate",
+            "PIL",
+            "numpy",
+            "gradio",
+        ]
+        
+        for module_name in required_imports:
+            try:
+                __import__(module_name)
+            except ImportError:
+                pytest.skip(f"{module_name} not installed - this is expected before poetry install")
+    
+    @pytest.mark.slow
+    @pytest.mark.unit
+    def test_fixture_cleanup(self, temp_dir):
+        """Test that fixtures properly clean up after themselves."""
+        temp_file = temp_dir / "test_file.txt"
+        temp_file.write_text("test content")
+        assert temp_file.exists(), "Test file should exist during test"
+        # Cleanup happens after test completes
+    
+    @pytest.mark.gpu
+    def test_gpu_availability(self, gpu_available):
+        """Test GPU availability detection."""
+        if gpu_available:
+            assert torch.cuda.is_available(), "CUDA should be available"
+            pytest.skip("GPU tests would run here")
+        else:
+            assert not torch.cuda.is_available(), "CUDA should not be available"
+    
+    @pytest.mark.unit
+    def test_markers_defined(self):
+        """Test that custom markers are properly defined."""
+        # This test verifies markers are recognized by pytest
+        pass
+
+
+@pytest.mark.integration
+class TestIntegrationSetup:
+    """Integration tests for the testing setup."""
+    
+    def test_project_imports(self):
+        """Test that the main project package can be imported."""
+        try:
+            import warnings
+            with warnings.catch_warnings():
+                warnings.filterwarnings("ignore", category=FutureWarning)
+                import phantom_wan
+                assert phantom_wan is not None
+        except (ImportError, AssertionError) as e:
+            if "CUDA" in str(e):
+                pytest.skip("phantom_wan requires CUDA - skipping import test in CPU environment")
+            else:
+                pytest.skip("phantom_wan package import test - expected to fail before installation")
+    
+    def test_multiple_fixtures_interaction(self, temp_dir, mock_config, sample_image):
+        """Test that multiple fixtures work together correctly."""
+        # Create a config file in temp directory
+        config_path = temp_dir / "test_config.json"
+        import json
+        with open(config_path, "w") as f:
+            json.dump(mock_config, f)
+        
+        assert config_path.exists(), "Config file should be created"
+        
+        # Copy sample image to temp directory
+        import shutil
+        dest_image = temp_dir / "copied_image.png"
+        shutil.copy(sample_image, dest_image)
+        
+        assert dest_image.exists(), "Image should be copied"
\ No newline at end of file
diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py
new file mode 100644
index 0000000..e69de29