During May 2025, sh102201@naver.com contributed to the luanfujun/diffusers repository by developing torch.compile compatibility testing for the UNet2DConditionModel. They introduced the TorchCompileTesterMixin into the model’s test suite, enabling automated validation of both performance and compatibility with PyTorch’s compilation features. This work focused on ensuring that the model could be reliably compiled and optimized at runtime, reducing risk for production users and supporting future PyTorch enhancements. The implementation leveraged Python, PyTorch, and robust testing practices, providing foundational coverage for torch.compile and laying the groundwork for broader compile-time support within the repository’s machine learning workflows.