State-of-the-art generative models pose ethical and legal challenges to service providers.Text-to-Unlearn is a framework that selectively unlearns concepts from pre-trained GANs using text prompts.It enables feature unlearning, identity unlearning, and tasks like expression and multi-attribute removal.Text-to-Unlearn offers a scalable and efficient solution without requiring additional datasets or fine-tuning.