Selfies with Sama

Generates photorealistic composite images by detecting user facial features from uploaded photos and blending them into pre-rendered or dynamically generated scenes featuring a target celebrity (Sama Bankman-Fried). Uses computer vision for face detection and alignment, combined with generative image synthesis (likely diffusion models or GAN-based inpainting) to seamlessly composite the user's face into celebrity contexts while maintaining lighting, pose, and perspective consistency.

Provides a web-based interface for users to upload photos, triggering an automated backend pipeline that handles image validation, preprocessing (resizing, normalization), face detection, and synthesis orchestration. The system manages file storage, temporary asset cleanup, and delivery of final composite images through a stateless HTTP API, likely using a serverless or containerized architecture for scalability.

Detects facial landmarks and bounding boxes in user-uploaded images using computer vision (likely OpenCV, dlib, or deep learning-based detectors like MTCNN or RetinaFace), then normalizes face pose and scale to match pre-defined target geometries in the celebrity scene templates. Handles rotation, translation, and scale correction to ensure consistent blending regardless of input photo orientation or framing.

Synthesizes photorealistic composite images by inpainting the user's face into pre-rendered celebrity scene templates using diffusion models (likely Stable Diffusion, DALL-E, or proprietary fine-tuned variants) or GAN-based inpainting. The system masks the target region in the scene, conditions generation on the user's face embeddings or aligned face crop, and applies post-processing (color correction, edge blending) to ensure seamless integration with background lighting and perspective.

Generates shareable URLs for composite images and provides direct integration with social media platforms (Twitter, Instagram, Facebook, LinkedIn) for one-click sharing. The system stores generated images in a CDN or cloud storage backend, creates short URLs with tracking parameters, and embeds Open Graph metadata (og:image, og:title, og:description) to enable rich preview cards when links are shared on social platforms.