Currently In Beta!

Glamoutshotz is a mobile application that harnesses the power of AI, specifically Low-Rank Adaptation (LoRA) models trained on vintage photographs, to transform user photos into stunning, vintage-inspired images. By leveraging AI technology, Glamoutshotz enables users to create unique, personalized photos that evoke the glamour and nostalgia of a bygone era.

My Role

  • UX / UI
  • Prototyping
  • Model Training
  • Middleware and API / Integration

Key Features

  • AI-powered image generation: Glamoutshotz employs sophisticated AI algorithms and LoRA models to analyze user photos and apply an array of vintage-style filters, textures, and effects, crafting images that exude old-world charm.
  • Authentic vintage aesthetics: The LoRA models at the heart of Glamoutshotz are trained on an extensive dataset of genuine vintage photographs, ensuring that the generated images faithfully capture the essence and aesthetics of vintage photography.
  • Intuitive user experience: Glamoutshotz boasts a sleek and user-friendly interface, allowing users to effortlessly upload their photos, explore a range of vintage styles, and fine-tune settings to achieve their desired look.
  • Social media integration: Users can seamlessly share their Glamoutshotz creations on their favorite social media platforms directly from the app, making it easy to showcase their vintage-inspired masterpieces to friends and followers.
  • Continuous refinement: The AI models powering Glamoutshotz are constantly refined and updated based on user feedback and advancements in AI technology, ensuring an ever-evolving and improving user experience.

Technology Stack

  • Front-end: React Native for cross-platform mobile app development
  • Back-end: FastAPI for server-side logic and API development
  • AI Framework: PyTorch for implementing and training the LoRA models, and Python Stable Diffusion for inference.
  • Cloud Services: Google Cloud Platform (GCP) for photo storage, server hosting, and AI infrastructure (Compute Engine with NVIDIA T4)
  • Database: Google Cloud Firestore for storing user information and preferences