This project explores the role of GANs (Generative Adversarial Networks) in the process of art creation with a focus on traditional art and craft of Saudi Arabia. It introduces a concept for participatory museum experience where visitors are able to interact with an Artificial Intelligence (AI)  generative tool to create their own piece of traditional Saudi Arabia art.  This study investigates different types of GANs models that can be used to make the traditional art creation more accessible and attractive to the younger generation by introducing the possibilities of emerging technology. At the same time, it analyzes potential limitations and concerns that such fast developing technology carries. Within the big scope of this project including technology research, cultural studies regarding Saudi Arabia art and craft, training AI models and iterative prototyping, the research focuses on looking at the AI-powered services through the lenses of User Experience (UX). UX studies and corresponding methodologies from the field are used to explore the quality of the interactions between the user (visitor) and the AI system. Based on the performed design process, the outcome proposes a screen based image generation tool which utilizes a visual programming approach to interface by visualizing the generation path along with the data flow and allowing the user to connect generated images in order to create new content. Presented solution introduces an alternative approach to the design of image generators where users can follow the creation path from the first prompt to the final image.