Developed Z-Image Series support within the HuggingFace Diffusers image processing pipeline, focusing on integrating new functionality alongside existing components. The work involved foundational refactors to attention mechanisms and tensor handling, enabling seamless processing of Z-Image inputs and improving end-to-end workflow. Implemented new classes and methods in Python using PyTorch, with attention to deep learning and image processing best practices. Enhanced performance and memory efficiency through B-dim refactoring, gradient checkpointing, and updated padding strategies. Addressed stability by resolving modulation and stack handling issues, while maintaining code quality through style adherence, documentation updates, and collaborative contributions to the repository.