Developed support for the FLUX.2-klein-base model within the diffusion framework of the yhyang201/sglang repository, expanding the system’s capabilities and enabling broader configuration compatibility. The work focused on integrating the new model using Python and YAML, ensuring that multiple diffusion setups could leverage the enhanced framework. By delivering this feature through a scoped, traceable commit, the developer facilitated reproducibility and streamlined code review processes. The update accelerated experiment readiness for users working with FLUX.2-klein-base workflows, aligning with ongoing roadmap goals for diffusion model variants and demonstrating skills in data science, machine learning, and model deployment within production codebases.