MakeupMirror, a diffusion-based makeup transfer model, achieves +60% improvement in facial recognition similarity and -50% reduction in skin tone difference compared to Stable-Makeup. It preserves facial features and skin tone with expert acceptance of 94% across identity criteria, operating at 0.7s latency through a Levenberg-Marquardt Langevin sampler.