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Style transfer portraits use machine learning and AI algorithms to blend one artistic style with a subject’s portrait. A photograph or rendering is processed to adopt visual elements from another source—like Van Gogh’s brushwork or pixelated retro graphics—while preserving facial structure and identity. Artists and developers use neural networks to manipulate texture, color, and linework in innovative ways. This fusion allows portraits to take on new artistic lives, combining classic art history or pop culture with personalized imagery. Style transfer opens creative doors in digital customization, generative art, and modern portraiture, where the boundary between creator and machine blurs.