#11085 added a test for checking if there's any graph break or recompilation issue for torch.compiled model.

We should add this test to the most impactful models to ensure our code is torch.compile friendly and has the potential to benefit from it. So far, we test it for FluxTransformer2DModel. Below are some models I have in mind where this test should be added:

• HiDreamImageTransformer2DModel (currently doesn't have a test class like other models from src/diffusers/models)
• HunyuanVideoTransformer3DTests
• WanTransformer3DTests
• UNet2DConditionModelTests
• LTXVideoTransformer3DModel

Steps to contribute

1. Refer to [tests] add tests to check for graph breaks and recompilation in pipelines during torch.compile() #11085 to under the changes needed in the test classes of the respective models.
2. To be specific, always attempt to just add TorchCompileTesterMixin to the respective model testing file. Like:

   diffusers/tests/models/transformers/test_models_transformer_flux.py

   Line 81 in fb29132

   class FluxTransformerTests(ModelTesterMixin, TorchCompileTesterMixin, unittest.TestCase):

3. Make the changes.
4. Run the tests locally with RUN_SLOW=1 RUN_COMPILE=1 pytest tests/<PATH_TO_TEST_FILE> -k "test_torch_compile_recompilation_and_graph_break". Make sure the machine has a GPU. Please confirm that this test is passing when opening the PR. In case it doesn't pass let us know.
5. Open the PR and mention this issue ([tests] help us test torch.compile() for impactful models #11430). Tag @sayakpaul and @DN6 for a review. Don't hesitate to ask for guidance/help if needed.

@DN6 any model classes I am missing?