Trace Russell developed FP16 inference optimization for the Cosmos-Predict2 and Anima models in the ComfyUI repository, focusing on improving runtime performance and reducing memory usage. Using Python and leveraging deep learning frameworks like PyTorch, Trace updated model layer data types to enable half-precision computations while ensuring that residual streams maintained output quality. The work required careful validation to confirm stability and scalability improvements from mixed-precision inference. Although no major bugs were fixed during this period, the feature demonstrated a solid understanding of machine learning model internals and contributed to more efficient inference workflows for the affected models in ComfyUI.