To achieve smooth facial characteristic merging during a face swap, Deepswap AI uses sophisticated deep learning algorithms that accurately map and align facial features between the source and target faces. This allows for the effective blending of expressions, lighting, and details while minimizing visible seams or distortions. Facial landmark detection, style transfer, and generative adversarial networks (GANs) are some of the techniques that are commonly used to achieve this goal.