How AI-generated images can streamline your SEO game with DALL-E 2

Have you overly wanted to finger like Salvador Dali? Maybe plane create a small cute robot that could squint like WALL-E? Your dreams very well might come true with the recent minutiae of the technology overdue AI. If that sounds interesting, let’s swoop a bit deeper into this topic. Let’s talk well-nigh DALL-E 2.

Ok Google, what does AI Do?

Artificial intelligence (AI) aims to create unique algorithms that can behave like people in specific situations – recognize human speech and various objects, write and read texts, and the like. This technology is once far superiority of human capabilities in many spheres involving data processing. Until recently, AI was encroaching mainly on the fields that are linked with technical tasks – predictive analytics, robotization, image, and speech recognition. Today AI surpasses people by 40 percent on trivia.

But can AI moreover take on creative functions? It seems this is the last field to be mastered by neural networks. Art is a complicated combination of skill, creativity, and stimulating taste, which all are very human elements. However, in April 2022, the OpenAI group proved otherwise by releasing a powerful text-to-image convertor, DALLE – 2, that can transform any text caption into a visual presentation that has never existed before. Its most winning full-length is that the tool can precisely and logically convey relationships between objects it displays.

What is DALLE-2?

This neural network was created by OpenAI. Originally, it was GPT-2, a technology that could work with languages – wordplay questions, well-constructed text, unriddle content, and make conclusions. It was improved to GPT-3 – its capabilities expanded vastitude textual information and enabled it to work with the images.

Already in January 2021, this technology was followed by its new mind-blowing version that could build a connection between text and images. This neural network was tabbed DALLE. The most remarkable thing is that it can come up not only with objects known to us but moreover produce completely new combinations, creating objects that do not exist in nature. In simple words, DALLE is a transformer consisting of the decoder, which processes a sequence of 1280 tokens. These are 256 text tokens and 1024 image part tokens. The algorithm treats image regions in the same way as words in a text and generates new images identically to how GPT-3 generates new text. In 2022, the project was scaled to DALLE-2. The improved version creates an image just from a text prompt.

How does DALLE-2 work?

It is not the first struggle to create a text-to-image generation system. However, the capabilities of DALLE-2 are much broader. This neural network can powerfully link textual and visual abstractions and provide a true-to-life image. How does the system know how a particular object is interacting with the environment? The algorithm is quite difficult to be explained in detail. Still, roughly it consists of several stages and uses other OpenAI models – CLIP (Contrastive Language-Image Pre-training) and GLIDE (Guided Language-to-Image Wastage for Generation and Editing).

• Mapping the image unravelment to its space presentation via the CLIP text encoder. CLIP is trained on hundreds of millions of images and their associated captions, figuring out how a particular piece of text relates to an image. The model does not predict the caption but learns how it is related to the image. This comparative tideway allows establishing the relationship between textual and visual representations of the same utopian object. This stage is hair-trigger to the megacosm of images by the neural network.
• Encoding the CLIP-learned image. The next task is to create the image, the details of which have been suggested by CLIP. Now, DALLE-2 uses a modified version of flipside OpenAI model, GLIDE, to create this image. It is based on a wastage model – data is generated by reversing the process of gradual image noise. The learning process is supplemented with spare textual information, which ultimately leads to the megacosm of increasingly well-judged images.

Based on the above, DALL-E 2 can generate semantically resulting images that naturally fit any object in the surrounding space.

DALLE-2 for SEO

The vast potential of AI image generation immediately attracted the sustentation of SEO specialists. They spend a lot of time finding towardly pictures to support their text content. However, it becomes increasingly difficult to invent something that is not just copied and stitched together from the web. So DALLE-2 can wilt a unconfined source of a never-ending spritz of wholly unique and non-standard images. Interestingly, users will have sectional rights to use the images they create, including for commercial use.

How it can help SEO

Nowadays, website and content promotion are not possible without lulu visuals. Images add increasingly value to your SEO efforts – your site wins increasingly user engagement and accessibility. But sourcing unbearable towardly pictures has unchangingly been a headache. DALLE-2 can solve this task with ease. You just need to print a descriptive prompt of your future image, and AI will come up with a result. The text should not exceed 400 characters. But users should be ready to train a little to create explicit requests. It is highly prudent to study Prompt Book and master the nuts to stave weird results. You will learn the most valuable tips on how to get the most out of this fantastic image generator.

If you’d like to remoter automate your image creation process this tool will indulge you to generate a prompt that can be used on DALLE-2.

Use cases (blog posts, product images, designs, digital art, thumbnails)

AI algorithms were once used in SEO surpassing for naming objects on the images and creating descriptions for them based on data. With DALLE-2, this process is flipped around, and now you can generate images based on text prompts. No matter whether you are running an online blog or a store – you need lots of visuals to vamp new customers and followers. And DALLE-2 can successfully be integrated into any project where you need image supplements – create illustrations for your blog posts, product descriptions, diamond sketches, and much more. Moreover, you can remoter modify once created images.

You can once see some successful use cases of DALLE-2.

• Blog thumbnail optimization. The Deephaven blog thumbnails have been replaced by images fully generated by DALLE-2. It took a couple of minutes and several prompts per image to get the desired result. However, it is a significant time saving compared to what would have been spent on the search for stock images. A nice bonus is that DALLE-2-generated images are fully unique and memorable.

• Design development. DALLE-2 can wilt an efficient tool in the design field. And it looks like its capabilities are endless. For example, a picture of the existing garden was taken, and a rectangular swimming pool was unromantic to it via DALLE-2. It helps the vendee envision how it might squint in reality.

For increasingly use cases and live polity discussions join r/dalle.

Currently, users are just experimenting with DALLE-2, but there is no doubt it will be soon urgently unromantic in business, architecture, fashion, and other spheres.

Examples of DALL-E 2

DALL-E 2 is launched in beta version with a credit-based model unshut to 100,000 users. Flipside million applicants are waiting for clearance to test this AI product. Some users have once shared their first wits with the converter, and the results are impressive. DALL-E 2 processes the craziest requests and offers its interpretation. Here are a few examples:

A sad beaver in the sweater sitting in front of the screen and thinking well-nigh apples

— Slava Grimalsky (@grimalsk) July 29, 2022

Prompt #1

A sad beaver in the sweater sitting in front of the screen and thinking well-nigh apples.

Source: Twitter

Prompt #2

A charcuterie workbench floating in a pool on the Amalfi coast.

Source: Twitter

Prompt #3

"The State of Connecticut Capitol as an oil painting by Matisse using purple and jade." #dalle2 @BetterLegal

Artwork for programmatic SEO is well-nigh to be next level! pic.twitter.com/64kKRY2Hpt

— Chad Sakonchick (@csakon) July 27, 2022

Source: Twitter

Prompt #4

A person in the space suit walking on Mars near the creator with dried-out grass and remnants of the Voyager.

Source: LinkedIn

Prompt #5

A Ukrainian on the field harvesting crops.

2 days ago I turned 30. I'm using this opportunity to raise money and help #Ukraine win. I know that a cup of coffee ($5) can save lives, and hoping that #TwitterFamily can help me with that. Digital art created by #dalle2 https://t.co/OV6Zq7NDIQ pic.twitter.com/wEQb6gouRI

— Dima Makei (@dima_makei) August 9, 2022

Source: Twitter

Conclusion

DALL-E 2 is a revolutionary text-to-image converter today. It will help you instantly generate a variety of unique images with only a short text prompt in failry shorter time spans than you would spend on photo stock sites. This technology is an wool game changer and can rearrange a lot of things in SEO in the coming years. Yet, increasingly live testing is still needed to goody from DALL-E 2 to the fullest.

Dima Makei is Head of SEO at Omnicom Media Group. He is moreover passionate well-nigh teaching and has previously served as a Marketing Professor at Seneca College. Find him on Twitter @dima_makei.

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