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Created by team ANGO TECH on May 13, 2024

Text-to-image generation refers to the process of creating visual images from text descriptions or captions. This technology leverages machine learning models, particularly deep learning architectures like generative adversarial networks (GANs) and diffusion models, to convert textual information into pixel-based representations. The process typically involves training a neural network on a large dataset of images and their corresponding captions or descriptions. During training, the model learns to associate specific patterns in the text with visual features in the images. Once trained, the model can generate new images based on previously unseen text prompts. Some popular text-to-image models include Stable These models can generate highly realistic and diverse images based on user-provided text descriptions, enabling a wide range of creative applications in fields like art, design, advertising, and content creation.

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"it seems that you worked hard on it but still need to make a good ppt that explain your project , make a video that is not ai generated in order to show your project clearly. show the business case in which you will use this technology for. continue working on it"


Walaa Nasr Elghitany

Lablab Head Judge

"No demo, and the presentation doesn't show it either"


Shebagi Mitra

Technical Mentor