Step 1 - Linking Textual and Visual SemanticsĪfter inputting "a teddy bear riding a skateboard in Times Square", DALL-E 2 outputs the following image: source Let's get started by looking at how DALL-E 2 learns to link related textual and visual abstractions. Now it's time to dive into each of the above steps separately. If you want a bit more detail without getting into the nitty-gritty, or you prefer to watch your content rather than read it, feel free to check out our video breakdown of DALL-E 2 here: How DALL-E 2 Works: A Detailed Look Finally, an image decoder stochastically generates an image which is a visual manifestation of this semantic information.įrom a bird's eye-view, that's all there is to it! Of course, there are plenty of interesting implementation specifics to discuss, which we will get into below.Next, a model called the prior maps the text encoding to a corresponding image encoding that captures the semantic information of the prompt contained in the text encoding.First, a text prompt is input into a text encoder that is trained to map the prompt to a representation space.A birds-eye view of the DALL-E 2 image generation process (modified from source).Īt the highest level, DALL-E 2's works very simply: While DALL-E 2 can perform a variety of tasks, including image manipulation and interpolation as mentioned above, we will focus on the task of image generation in this article. Let's dive in! How DALL-E 2 Works: A Bird's-Eye Viewīefore diving into the details of how DALL-E 2 works, let's orient ourselves with a high-level overview of how DALL-E 2 generates images. Plenty of background information will be given and the explanation levels will run the gamut, so this article is suitable for readers at several levels of Machine Learning experience. In this article, we will take an in-depth look at how DALL-E 2 manages to create such astounding images like those above. DALL-E 2's impressive results have many wondering exactly how such a powerful model works under the hood. Various images generated by DALL-E 2 given the above prompt ( source).ĭALL-E 2 can even modify existing images, create variations of images that maintain their salient features, and interpolate between two input images. With only a short text prompt, DALL-E 2 can generate completely new images that combine distinct and unrelated objects in semantically plausible ways, like the images below which were generated by entering the prompt "a bowl of soup that is a portal to another dimension as digital art". OpenAI's groundbreaking model DALL-E 2 hit the scene at the beginning of the month, setting a new bar for image generation and manipulation. For information on what DALL-E 3 is, how it works, and the differences between DALL-E 3 and DALL-E 2, jump down to this section. Take a moment to browse through the complete listing of our clipart collection, which encompasses a wide range of categories including animals, plants, science, people, history, and much more.OpenAI has recently announced DALL-E 3, the successor to DALL-E 2. We have organized thousands of incredibly cool Free Clipart images for your viewing pleasure.
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