Preserving History
Old photographs contain irreplaceable memories. GreenHawk helps translate them back into color so they can be shared with new generations.
GreenHawk AI is a computer-vision studio that colorizes and restores historical photographs using three complementary deep-learning models.
A research-oriented pipeline that combines classical colorization, GAN-based restoration, and diffusion enhancement in a single professional studio.
Old photographs are memories in a language time slowly erases. GreenHawk was built to translate them back — to give history back the color it always had.
Combine complementary AI models — Zhang, DeOldify, and FLUX — into one studio experience that anyone can use to restore family archives and historical prints.
AI colorization is not just an effect — it is a bridge between generations, an accessible way to keep visual history alive without expert software.
Three principles that shape every part of the platform.
Old photographs contain irreplaceable memories. GreenHawk helps translate them back into color so they can be shared with new generations.
Advanced computer vision made available through a simple, elegant interface — no notebooks, no CLI, no configuration required.
A carefully orchestrated pipeline combining Zhang CNN, DeOldify GAN, and FLUX diffusion enhancement — three complementary approaches, one result.
Every milestone was a chance to raise the bar for what a personal AI studio can be.
Studied Zhang colorization, DeOldify, and diffusion-based restoration approaches.
Connected multiple AI models into one shared inference pipeline with consistent preprocessing.
Built a FastAPI orchestrator with queueing, progress tracking, and durable result storage.
Designed a premium studio interface with a professional comparison workspace and multilingual support.
Building AI applications at the intersection of deep learning, computer vision, and modern web experiences.