Guohua Sun integrated a Pix2PixUnet model into the NVIDIA/physicsnemo repository, expanding its image-to-image translation capabilities. The work involved designing the network architecture, implementing initialization routines, and defining metadata to support optimized inference and deployment. Using Python and PyTorch, Guohua focused on packaging and export readiness, ensuring the new model could be easily adopted in downstream computer vision pipelines. The integration was linked to a specific commit for traceability and review, reflecting a methodical approach. Although no bugs were addressed during this period, the depth of the model integration laid a solid foundation for future experimentation and optimization.