Best AI Software to generate text to image

If you are looking for the best AI software to generate text to image, you might be overwhelmed by the number of options available. There are many factors to consider when choosing a text to image generator, such as the quality, speed, diversity, and creativity of the output. In this article, we will review some of the most popular and advanced text to image generators on the market and compare their features and performance.

One of the most widely used text to image generators is DALL-E, developed by OpenAI. DALL-E is a neural network that can create images from any text input, using a large-scale dataset of text-image pairs. DALL-E can generate realistic and diverse images for a variety of domains, such as animals, landscapes, objects, and even abstract concepts. DALL-E can also handle complex and creative requests, such as "a pentagon made of watermelon" or "a cat wearing a suit". DALL-E is fast and easy to use, but it is not publicly available and requires an API key to access.

Another popular text to image generator is VQGAN+CLIP, which combines two models: VQGAN, a generative model that learns a discrete representation of images, and CLIP, a vision-language model that can rank images according to their relevance to a text query. VQGAN+CLIP can generate high-quality and diverse images for any text input, using a large-scale dataset of natural images. VQGAN+CLIP can also produce artistic and surreal images, such as "a painting of a snail with a human face" or "a dream of a flying whale". VQGAN+CLIP is slower and more computationally intensive than DALL-E, but it is open-source and can be run on any device.

A third text to image generator that deserves attention is Text2Image, developed by Microsoft. Text2Image is a neural network that can create images from natural language descriptions, using a large-scale dataset of web images and captions. Text2Image can generate realistic and diverse images for various domains, such as faces, scenes, logos, and icons. Text2Image can also handle detailed and specific requests, such as "a smiling woman with curly hair and glasses wearing a red dress" or "a blue car with white stripes and a spoiler". Text2Image is fast and user-friendly, but it is not very creative and tends to generate images that are similar to the existing ones in the dataset.