Snap Ai Gitbook

How AI Working

Text-to-image API uses generative models like GANs and VAEs to generate images from textual descriptions. The text description is encoded into a vector representation and used as input to the model, which synthesizes an image that matches the given text. The model is trained on a dataset of images and text descriptions and can be used to generate new images from novel textual inputs. The generated images can be evaluated for their realism and relevance. Text-to-image API has various applications in art, design, and unique art.