MakeupMirror, a diffusion-based makeup transfer model, enhances facial feature and skin tone preservation over Stable-Makeup. It achieves +60% improvement in facial recognition similarity and -50% reduction in skin tone difference, with 94% expert acceptance and 0.7s inference latency on diverse datasets.