Touch-Up Hair with Generative AI, LangChain, Stable Diffusion and Gemini
Touch-Up the Hair Roots and Changing the Hair Color of an Image using Stable Diffusion, ControlNet, Mediapipe, KMeans, Streamlit, Gemini, LangChain and Flask.
This Generative AI App, using the Realistic Vision Stable Diffusion with ControlNet, KMeans and Mediapipe, can succesfully Touch-Up the Hair Roots of an Image based on the Dominant Hair Color of the Picture.
This is a project programmed with Python, that uses Gemini-Flash as LLM to create a Agent with LangChain, Streamlit for the Frontend, Flask for the Backend , Generative AI, the model of Stable Diffusion Realistic Vision with ControlNet to change or modify the color of the hair or the hair roots of a person in a image.
The Application can also change the Hair Color of the person, to the color that the user wants. The Fronted was built with Streamlit and the Backend with Flask.
Preview
- App Preview: https://youtu.be/suQHBEilZnU?si=BdIIfbIl87ApbNce
