Guekn Introduction

Guekn employs state-of-the-art machine learning models trained on vast datasets of images and text. When a user enters a text prompt, the AI analyzes the semantic meaning and visual concepts described, then generates a completely new image that matches the description. The system likely uses techniques like diffusion models or GAN architectures to progressively refine and create high-fidelity images. Users can iterate on prompts to fine-tune results, and the platform may offer additional controls for style, composition, or other image attributes.