Artificial intelligence (AI) art generators have received considerable media attention this year for various reasons. One of the most prominent players in this field is OpenAI’s Dall-E, stylized as Dall·E, and now on its second generation; DALL·E 2. It’s already open to the public and programmers, and shortly it’ll be included in Microsoft software, including the Bing search engine.
In addition to using the technique, stock art service Shutterstock plans to compensate the artists whose work it steals to “give back” and (maybe) sidestep certain ethical difficulties. After all, the DALL-E AI was partially trained with images from Shutterstock’s extensive library.
So, how exactly do you collaborate with DALL-E? Is it as easy as entering a description (a prompt) and receiving an image in return? To be blunt, yes. Still, there is much more to learn if you want to achieve even a near-perfect outcome. Let’s take a deep dive into DALL-E 2 and what makes it so impressive.
What Is DALL·E 2?
DALL·E 2 is an AI-powered platform for making new graphics responding to textual cues. It is powered by an AI system called GPT-3, which can translate spoken words into visual representations. The program also enables users to upload photos and change them using text prompts to create new art pieces. Further improvements can be made by creating and editing variants.
Until 28 September 2022, DALL-E 2 was in beta and only available to those who joined the waitlist when OpenAI released it to the public. Today, over 1.5 million people, from artists and art professionals to authors and developers, are using DALLE to make over 2 million images daily.
Iterative deployment has been necessary for responsibly scaling a system as powerful and advanced as DALLE while also discovering the numerous creative ways in which it might be exploited and manipulated.
The training process of DALL-E 2 has been made available to us in an unprecedented way due to the Open AI team’s publication of the article supporting DALL-E2. The DALL-E2 system has two models, namely CLIP and Diffusion.
The DALL-E Content Policy
Before we discuss how to use Dall-E 2 and produce photos, you may want to study the DALL-E content policy page.
There are restrictions on the kinds of photos you’re allowed to generate, and specific guidelines about works with recognizable persons exist. If you want to be in good standing on the platform, it’s in your best interest to familiarize yourself with the regulations and avoid breaking them.
How to use Dall-E 2
If you want to start making photos using Dall-E 2, you’ll need to sign up for or log into an account. In any case, you can use a mobile app or a web browser.
After logging in, you’ll have access to the full range of editing tools. The site’s search bar is located in the upper-right-hand corner. Below it, you’ll see more artwork from the DALL-E 2 team. If you’re stuck for ideas, click over any images to find out what words the artists used to create them.
DALL-E 2’s main menu provides access to several primary functions. You can manually type in a description, upload a picture for the AI to change based on your directions, or select Surprise me to generate a description that works well with the AI. Remember that your credit limit is fixed, and use it wisely.
Type your description. There is a limit of 400 characters, so take your time and be descriptive. Feel free to request a painting, stained glass, digital art, or any other visual art to experiment with in DALL-E 2. When ready, click the Generate button.
In response to your requests, DALL-E 2 will produce many alternate images for your consideration. If you find one that you like, you can bookmark it for later or download it right now using the buttons in the top right corner.
When you click on Variations, a new set of options will be generated depending on the image you originally selected if that’s more to your liking. Alternatively, you may try changing your wording to see if that produces a different outcome.
If you click on an image, it will expand to its full size. You may transfer the picture to your Dall-E 2 collection using the save button in the top right corner.
How much does it cost to use Dall-E 2?
OpenAI has transitioned to a credit-based approach, but before July, it was free to use (for those who have access). Suppose you’re a new user of DALL-E 2. You can get 50 free credits for image development, editing, or variety (new image generations return four 1024 X 1024-pixel images for one credit).
Following that, each month, customers will receive 15 free DALL-E 2 credits. You can obtain more by paying $15 for 115 credits (enough to generate 460 1024 X 1024-pixel images). OpenAI has extended an invitation to artists who are struggling financially to submit applications for subsidized admission.
Could DALL-E be the Replacement for Artists?
Looking back, we may see that some advancements helped an industry or skills evolve without completely replacing them. In the same way that prehistoric cave drawings let humans represent themselves, so did the use of paintbrushes and pencils.
Photoshop and other vector graphics applications followed the widespread availability of personal computers. But now, new technologies are emerging to appear centered on AI and Machine Learning (ML), such as DALL-E, Stable Diffusion, or NVIDIA Canvas.
The days of rubbing charcoal and iron oxide on cave walls to create art are long gone. Irrespective of the method, there is always a human being behind the machine that produces art.
So, what’s the deal with all the talk about DALL-E taking the place of creative types like designers and artists? Knowing the underlying technology is crucial for answering this question. Dall-E relies on machine learning. It learns from a picture database the various components of images, such as human faces, architecture, sceneries, creatures, etc.
These tools allow it to generate fresh pictures by combining user-specified parts in inventive ways. An artist can get the same effect by combining two photos that contain the elements he wishes to highlight. So, the debate about AI replacing artists might now declare AI as a winner because, after all, these AI tools are themselves developed by some artists.
Potential Issues with Artificial Art
The program still has space for development, especially in bias and safety, which is why humans (still) can’t hand over creative tasks to AI.
Since quite some time ago, various problems have been plaguing our globe, and all of these problems are mirrored in our data. When you type in something like “a photo of an astronaut riding a horse in space,” you get a generally funny result, but when you type in “war, violence, or protests,” you get a mostly serious result.
Racism, sexism, and religious bigotry are all serious problems in today’s society. For instance, DALL-E 2 primarily portrayed white men in responses to “the CEO” prompt. This doesn’t seem right or even close to being accurate.
There are still ethical concerns despite OpenAI’s efforts to train its program to restrict or at least limit the exposure of sensitive content and fight the biases inherent in the data it has examined.
Regardless of where you stand on the topics we’ve covered, you can’t deny that AI has the potential to be a positive influence. Natural language processing and artificial intelligence have opened up new avenues for artistic expression, improved time management, and many other areas of human endeavor.
DALL-E 2 is a leading artificial intelligence (AI) art platform that helps professionals and beginners produce stunning visual content in a second. If you want to make original and engaging artwork, you should try DALL-E 2. Arguably the finest thing about DALL-E 2 is that users have full rights to professionally utilize, print, and merchandise their original AI creations.