Developed and integrated a Flux Fill ControlNet Inpaint Pipeline for the huggingface/diffusers repository, enabling fill-style masked image editing with ControlNet conditioning. The work involved implementing deep learning and computer vision techniques in Python to support advanced inpainting capabilities, while also refining the codebase by removing obsolete components to improve maintainability. Documentation was updated to clearly outline the new pipeline’s usage and integration, ensuring alignment with community standards for Flux Fill-Based Inpainting. This contribution focused on both feature delivery and code quality, laying a foundation for broader adoption and easier future enhancements within the image processing domain.