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import pytest


@pytest.fixture(scope="session")
def tiny_wan22_path(tmp_path_factory):
    """Create a tiny Wan 2.2 (14B-style) pipeline and return its path.

    Built once per session and shared across all tests that need it.
    """
    try:
        from _test_utils.torch.diffusers_models import create_tiny_wan22_pipeline_dir
    except ImportError:
        pytest.skip("Wan 2.2 diffusers models not available (requires diffusers with WanPipeline)")

    tmp_path = tmp_path_factory.mktemp("wan22")
    return str(create_tiny_wan22_pipeline_dir(tmp_path))


@pytest.fixture(scope="session")
def tiny_qwen_image_path(tmp_path_factory):
    """Create a tiny Qwen-Image pipeline and return its path (built once per session).

    SKETCH fixture for the recipe-level DMD2 e2e (``test_fastgen_recipe_e2e.py``).
    See ``create_tiny_qwen_image_pipeline_dir`` for caveats — notably the tiny
    Qwen2.5-VL text encoder, which needs in-container validation.
    """
    try:
        from _test_utils.torch.diffusers_models import create_tiny_qwen_image_pipeline_dir
    except ImportError:
        pytest.skip("Qwen-Image diffusers models not available")

    tmp_path = tmp_path_factory.mktemp("qwen_image")
    return str(create_tiny_qwen_image_pipeline_dir(tmp_path))