During Developer Week 2024, Cloudflare unveiled its AI face cropping feature, now available in general release, which is part of a broader suite of AI image manipulation tools. Initially developed with social media and e-commerce platforms in mind, the feature automatically detects and crops around faces in images, enhancing the preparation of images for production use. The technology transitioned from a CPU-based prototype to a more efficient GPU-based implementation using the Workers AI framework, addressing memory usage issues and improving scalability. Utilizing the RetinaFace model, AI face cropping identifies faces within images and optimizes the cropping process using advanced neural network methodologies. This approach ensures privacy by focusing solely on face detection without identification. The implementation also includes a gravity parameter to adjust cropping focal points, particularly useful for images with multiple or off-centered subjects. Cloudflare's transition to a GPU-based system has significantly reduced memory usage, allowing for more efficient processing and maintaining service availability. The company plans to expand its AI image editing capabilities, including background removal and generative upscaling, as it continues to enhance its media pipeline services.