AI Avatar Generation from Photo
AI avatars create stylized versions of user portrait: anime, oil painting, fantasy, pixar, cyberpunk. Commercially popular service — "upload 10 photos → get 50 avatars in different styles".
Avatar Service Architecture
User uploads 10–20 photos
↓ Preprocessing (face crop, quality, filtering)
↓ DreamBooth LoRA training (~15–30 min, GPU)
↓ Generation in N styles (batch inference)
↓ Postprocessing (GFPGAN face enhance)
↓ Ready avatars to user
Avatar Styles
AVATAR_STYLES = { "anime": "anime portrait, Studio Ghibli style", "oil_painting": "oil painting portrait, classical style", "cyberpunk": "cyberpunk portrait, neon lights", "fantasy": "fantasy portrait, epic illustration", "pixar": "pixar 3D animation style", "sketch": "pencil sketch portrait", }
Processing time per order: LoRA training (~600 steps) — 15–25 minutes. Generation 8 styles × 4 variants = 32 images — 10–15 minutes. Total: 30–40 minutes on GPU (RTX 3090). Development timeline for avatar service with queue and web interface — 4–6 weeks.