Face Swap is an image-to-image AI designed to detect, map, and replace faces in photos and videos with highly realistic, natural-looking results. It automatically finds facial landmarks, aligns features, and synthesizes skin tone, lighting and texture to blend a source face onto a target subject with minimal artifacts. Users can refine outputs using manual alignment, mask controls, expression morphing and skin-tone matching to achieve the exact look they want. Practical for both still images and moving footage, Face Swap supports high-resolution outputs suitable for social media content, marketing, film post-production, game avatars and creative art. It handles challenging conditions like moderate motion, partial occlusion and varying lighting, and can run fast enough for near real-time video applications on capable hardware. Advanced workflows also include gender or age adjustments for creative variations. What makes this model useful: it delivers photoreal swaps that maintain correct proportions and facial expressions, offers adjustable controls for increased user control, and produces high-resolution results suitable for professional use. For best outcomes, provide clear, high-resolution source and target images with similar expression and lighting. The model respects data privacy practices — many implementations process images temporarily and remove them after processing. Limitations and responsible use: Face Swap is optimized for human faces and may perform poorly on non-human subjects. Results depend on input quality and adequate compute power for high-resolution or real-time video. Because face replacement can raise ethical and legal issues, always obtain consent and use the tool transparently and responsibly.