Worked on enhancing the FluxImageToImagePipeline within the luanfujun/diffusers repository to support more robust multi-ControlNet workflows. Addressed a configuration failure that occurred when using multiple ControlNets by implementing thorough validation for guidance_embeds and ensuring correct handling for both single and multi-ControlNet scenarios. This update improved the pipeline’s reliability, reducing runtime errors and enabling more flexible image generation workflows. Leveraged Python and deep learning techniques to strengthen the pipeline’s stability, focusing on machine learning and ControlNet integration. The work contributed to smoother user experiences and reduced maintenance by proactively preventing configuration-related issues in advanced diffusion pipelines.