Worked on improving model loading reliability in the huggingface/diffusers repository, specifically addressing LoRA model integration for Flux2 Klein. Focused on resolving configuration loading errors for both 4B and 9B LoRA variants, the solution adaptively enumerated transformer blocks to ensure correct setup and stable deployments. This approach reduced runtime failures and debugging time for users relying on LoRA models. The work included refining code style and aligning with project standards, which enhanced maintainability and developer experience. Utilized deep learning and machine learning expertise, with Python as the primary language, to deliver a robust bug fix that improved overall workflow reliability.