YandexART Reviews

In recent years, the ability to convert text into pictures using artificial intelligence has attracted significant attention. Stable diffusion, which uses deep neural networks and their power to generate images from textual description, is an effective way to achieve this task. The first step is converting the textual description into a numerical format a neural networks can process. Text embedding, a popular technique, converts each word of the text into vector representation. After encoding the text, a deep-learning network creates an initial image using the encoded text. This image is noisy and lacks details, but it is a good starting point for the following step. The image is refined several times to improve its quality. Diffusion steps smooth and remove noise while preserving important details such as edges and contours.