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Is DALL-E going to take my job?

Shantanu Kumar
Bootcamp
Published in
8 min readSep 26, 2022

Until I got my invite for DALL-E 2, I was a non-believer. I had read multiple articles and watched videos showcasing the extensive use cases of DALL-E’s long list of capabilities. However, I was still not convinced that a computer model could create intricate designs by providing vague prompts. Then I saw it for myself.

Compilation of random Dall-E 2 creations I found on Twitter.

And I can’t wait to share my observations.

In this article, I will talk about what DALL-E is, how it works and how it is proving to be a disruptor in the graphic design industry. But most importantly, I will discuss how we don’t need to fear an AI uprising but learn to embrace it.

In the end, I’ve listed three use cases of DALL-E 2 for different creative industries and how you, as a creative, can leverage them.

Overview of DALL-E’s capabilities

Let me start with some context. In December 2020, OpenAI released DALL-E, an AI model that can generate images from textual descriptions, and showed how the technology could be used to create composite images of things that do not exist in reality. The release of DALL-E was followed by the release of CLIP (Contrastive Language–Image Pre-training), another model which can classify objects in natural language with high accuracy.

These two models together form what is known as the DALL-E 2 system.

It is named after the Italian artist Salvatore Dali and Pixar’s WALL·E robot character.

DALL-E’s capabilities were first showcased in a blog post by OpenAI, which contained several examples of inputs and their corresponding outputs. The results were impressive, with DALL-E generating compelling images of objects or scenes described in the input text. For example, when given “A surrealist painting, depicting a robot painting reality.” it produced a picture of a robotic figure painting a landscape on a canvas. It generates highly detailed images, even when provided with relatively vague or abstract descriptions. For instance, when asked to create “Something that looks like a Van Gogh painting.” it outputted an abstract swirl of colors…

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