# AmberFace AI - Technical & Product Specification ## Executive Overview AmberFace AI is an AI-powered portrait studio and image editing platform. It provides high-resolution, identity-preserving professional headshots for individuals and enterprises. ## AI Infrastructure & Model Pipeline 1. **Facial Audit & Compliance Engine**: Performs automated facial landmark verification, posture angle checks, and lighting analysis before queueing rendering tasks. 2. **GPT Image 2.0 & SeeDream 4.0 Dual-Core Rendering Pipeline**: - Maintains 99.4% facial similarity retention. - Prevents artificial blur and preserves natural skin texture, iris reflections, and hair details. 3. **kling vton-Tryon Virtual Fitting Engine**: - Supports 1-click clothing replacement for professional attire (dark suit, white lab coat, executive blazer, casual sweater). 4. **Seedance 2.0 & Nano Banana Pro Acceleration**: - Cloud GPU cluster renders 4K resolution portraits in 1 to 5 minutes. - Real-time queuing and status polling via WebSocket and REST APIs. ## Retouching & Smart Tools (18+ Tools) - **Background Replacement**: Switch between modern office, urban city, studio backdrop, and dark executive environments. - **Expression Modification**: Adjust smile intensity, confidence level, and micro-expressions. - **Teeth Whitening & Acne Removal**: Natural retouching without blurring skin texture. - **Lighting & Color Balance**: Studio lighting adjustment (key light, rim light, ambient warmth). - **HD Upscaling**: 4K resolution enhancement for print and web display. ## Commercial Terms & Rights - **Paid Packages**: Full worldwide, perpetual, royalty-free commercial rights granted to the user upon image generation using paid credits. - **Non-Commercial Free Tier**: Daily free claim credits are granted for personal evaluation purposes only. - **Risk-Free Task Accounting**: Deducted credits are automatically refunded to user balance if any server or GPU task fails. ## Internationalization (i18n) Supports 12 languages: English (en), Simplified Chinese (zh), Japanese (ja), Korean (ko), French (fr), German (de), Spanish (es), Portuguese (pt), Russian (ru), Urdu (ur), Hindi (hi), Arabic (ar).