Worked on stabilizing the WanVACEModel integration within the AI-Hypercomputer/maxdiffusion repository by addressing a critical bug in the model output interface. Focused on Python-based debugging and interface design, the developer resolved a mismatch in output arguments by accommodating a fifth output, which prevented runtime errors and improved the reliability of downstream deployments. This solution ensured correct handling of the model’s output structure, reducing potential failures and supporting smoother integration with WanTimeTextEmbedding. The work laid a foundation for future regression testing and interface enhancements, demonstrating a methodical approach to model development and robust API maintenance within a machine learning context.