The DALL-E Text-to-Image AI Explained

The incorporation of artificial intelligence (AI) into the art industry has led to the creation of various types of programs designed to make the process of creating pieces of art easy, effective, and quick–one of these programs is DALL-E 2, an AI text-to-image generator that’s capable of generating original and high-quality images from text.

Although the makers of DALL-E haven’t yet released it to the public, the program is expected to revolutionize the art industry. But what exactly is DALL-E text-to-image AI, and how does it work? 

What is DALL-E?

As noted above, DALL-E is an artificial intelligence art generator that creates original images from text. This program is a product of OpenAI, a research laboratory that focuses on matters to do with artificial intelligence. DALL-E is a limited version of the company’s 12-billion parameter GPT-3 model–this transformer model interprets natural language prompts to generate corresponding images.

For instance, if you want to generate an image of an old man wearing a red hat, a yellow t-shirt, and green pants, you just need to type the image’s description into the program and allow it to generate the image. Unlike the previous AI art generators, DALL-E generates images of realistic items as well as unrealistic items. The name DALL-E is a hybrid of WALL-E and Salvador Dali.  

Unfortunately, DALL-E isn’t an open-source program. So, if you are planning to use it to create images for your art business or hobby, you have to wait a little longer. According to OpenAI, this program is only available to a small group of active users who were preselected before the program was launched in 2021. The company hopes to use this group for further research on the program before it’s made available to the general public.

Why You Should Try DALL-E

DALL-E is a branch of artificial intelligence that generates multifaceted outputs rather than predicting or classifying the input data. As a generative model, its main task is to generate images from text descriptions. It uses algorithms that must be trained and tested before deployment to ensure that they generate images that fit the text prompts. Generative models became popular in 2014 after the introduction of generative adversarial networks (GAN); today, these models are used to perform numerous tasks, including generating images of realistic and unrealistic objects, as well as other AI art pieces.

But will AI replace human artists? This is one of the common questions raised by artists and collectors who feel as though the use of AI art generators like DALL-E is a replacement for human creativity. But the reality is that these AI tools are meant to supplement human creativity, allowing artists to take their creativity to the next level. With a program like DALL-E, you can make your pieces of art more accurate and professional, especially if you are planning to sell them to collectors.

Unlike other AI text-to-image models, DALL-E has proven to be more effective in maintaining semantic consistency when generating images. This program can also generate variations of existing images. This means that, instead of inputting a text prompt, you just feed it with an image and it will generate various forms of it–DALL-E can combine unrelated concepts to generate a plausible image with all the intended elements.

Lastly, DALL-E was trained on a dataset whose objectionable data had been removed to limit the possibility of generating objectionable content. Additionally, it can’t generate recognizable faces that are generated using someone’s name. These restrictive features are meant to prevent users from abusing the program.