- SEOs are constantly on the lookout to find innovative technology that will help them increase content creation effectiveness.
- OpenAI’s DALLE 2 is one such innovation, which is poised to be the next big thing for SEO and content creation.
- It is what it is, how does it work and how can SEOs make use of it (or start experimenting with it).
Ever wished you could feel like Salvador Dali? Perhaps you could even make a cute robot that looks like WALL-E. With the advancement of AI technology, your dreams may come true. Let’s explore this topic if you find that interesting. Let’s discuss DALL-E 2.
What does AI do, Ok Google?
Artificial intelligence (AI), which aims to create algorithms that behave like humans in certain situations, such as recognizing human speech and other objects, writing and reading texts, and so on. This technology is far ahead of humans in many areas that involve data processing. AI has been advancing primarily in fields associated with technical tasks, such as predictive analytics, roboticization, image and speech recognition. AI is now able to outperform people in trivia by 40%.
Can AI be used to create new functions? This seems to be the last area that neural networks can master. The art of art is a complex combination of creativity, skill, and aesthetic taste. All these elements are very human. OpenAI’s April 2022 release of DALLE-2, a text-to-image converter, proved that this tool can convert any text into a visual presentation like none before. The tool’s greatest strength is its ability to clearly and logically communicate relationships between objects.
What is DALLE-2?
OpenAI created this neural network. It was originally GPT-2. This technology could handle languages and answer questions. It could also analyze text, make predictions, and draw conclusions. It was upgraded to GPT-3, which allowed it to work with images and expand its capabilities beyond textual information.
This technology was already in use in January 2021. Its new, mind-blowing version could link text and images. DALLE was the name of this neural network. It can not only create objects we know, but it can also create new combinations that create objects that are not found in nature. This is the most amazing thing about DALLE. DALLE, in simple terms, is a transformer that consists of the decoder. This process a sequence 1280 tokens. These tokens are 256 text tokens, and 1024 image parts tokens. The algorithm treats image regions the same as text words and generates new images in exactly the same manner that GPT-3 does. The project was scaled up to DALLE-2 in 2022. This improved version can be used to create an image from a text prompt.
What is DALLE-2?
This is not the first attempt at creating a text-to image generation system. DALLE-2’s capabilities are however much greater. This neural network is able to link textual and visual abstracts and produce a true-to life image. How does the system determine how an object interacts with its environment? It is difficult to explain the algorithm in detail. It is made up of several stages. The algorithm also uses OpenAI models CLIP (Contrastive Language to Image Pre-training) GLIDE (Guided Language to Image Diffusion for Generation, Editing span>
The CLIP text encoder allows you to map the description of an image to its space presentation. CLIP is trained using hundreds of millions images and the associated captions. It then determines how one piece of text connects to another image. The caption is not predicted by the model, but it is learned from the image. This comparative approach allows for the establishment of the relationship between the textual and visual representations the same abstract object. This is crucial for the creation of images using the neural network.
The CLIP-learned image is being encoded. Next, CLIP has suggested the details for the image. DALLE-2 now creates this image by using a modified version GLIDE of an OpenAI model. It’s based on a diffusion model, where data is generated by reverse-engineering gradual image noise. Additional text information is added to the learning process, which eventually leads to more accurate images.
Based upon the above, DALLE 2 can create semantically consistent images that fit any object in its surrounding space.
DALLE-2 is for SEO
SEO professionals were immediately drawn to the immense potential of AI image generation. They spend a lot time looking for appropriate images to support their text. It becomes more difficult to create something original that isn’t just copied and pasted from the internet. DALLE-2 is a wonderful source for unique, non-standard images. Users will be granted exclusive rights to the images they create for any commercial purpose.
SEO: How it can help
Website and content promotion is not possible today without appealing visuals. Images can add value to your SEO efforts, resulting in more user engagement and accessibility. Finding the right images has been a challenge. DALLE-2 makes it easy to solve this problem. Simply print a description prompt for your future image and AI will produce a result. You should limit the text to 400 characters. However, users must be able to practice a bit to make explicit requests. To avoid strange results, it is highly recommended that you read the Prompt Book. These are the best tips to make the most of this amazing image generator.
This tool can help you automate your image creation . It will also allow you to create a prompt that you can use on DALLE-2.
Use cases (blog posts. Product images. Designs. Digital art. Thumbnails.
AI algorithms have been used in SEO for naming objects and creating descriptions based on data. This process can now be flipped with DALLE-2. You can now generate images based upon text prompts. You need visuals to attract customers and followers, no matter if you run an online store or blog. DALLE-2 is a great tool for image enhancements. You can use it to create illustrations for blog posts, product descriptions, designs sketches, and many other projects. You can also modify existing images.
DALLE-2 has already been used in some very successful ways.
- Optimize blog thumbnails. Deephaven blog thumbnails were replaced with images generated entirely by DALLE-2. To get the desired result, it took only a few minutes and multiple prompts for each image. It is still a time-saver compared to searching for stock images. DALLE-2 images are unique and memorable, which is a nice benefit.
- Design development. DALLE-2 is a powerful tool for design professionals. It seems like it has endless possibilities. A picture of the garden was taken and DALLE-2 applied a rectangular swimming pool to it. This helps the client visualize how it might look in real life.
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At the moment, DALLE-2 is being used for a limited time by users. However, it is certain that DALLE-2 will soon be actively used in architecture, business, fashion and other areas.
Examples of DALLE 2
DALL-E 2 launches in beta with a credit-based model that is open to 100,000 users. The approval of this AI product is still pending for another million applicants. The results of the converter have been impressively tested by some users. DALL-E 2 can process the most bizarre requests and offer its interpretation. Here are some examples:
Sad beaver in sweater, looking at the screen while thinking about apples
— Slava Grimalsky (@grimalsk), July 29, 2022
The sweater-wearing beaver is looking at the screen, thinking about the apples
Source : Twitter
A floating charcuterie board in a pool off the Amalfi Coast.
“The State of Connecticut Capitol as an Oil Painting by Matisse using purple & jade.” #dalle2 @BetterLegal
Programmatic SEO art is on the rise! pic.twitter.com/64kKRY2Hpt
— Chad Sakonchick, @csakon July 27, 2022
Source : Twitter
A spacesuit-clad person walking on Mars, near its creator, with dry-out grass remnants from the Voyager.
Source : LinkedIn
Ukrainian in the field harvesting crops
Two days ago, I turned thirty. This is my chance to help #Ukraine win and raise money. A cup of coffee ($5) can save lives. I hope that the #TwitterFamily will help me. Digital art created by #dalle2 https://t.co/OV6Zq7NDIQ pic.twitter.com/wEQb6gouRI
— Dima Makei (@dima_makei) August 9, 2022
Source HTML3_ Twitter
DALL-E 2 is today’s most innovative text-to-image convertor. You can instantly create a variety unique images using a simple text prompt. This is much faster than what you would spend on stock photo sites. This technology can revolutionize SEO and make it easier to arrange many things in the future. DALL-E 2, however, still requires more live testing to maximize its potential.
Dima Makei heads SEO at Omnicom Media Group. He is passionate about teaching and was previously a Seneca College Marketing Professor. Follow him @dima_makei on Twitter.
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Search Engine Watch’s first article, How AI-generated images can improve your SEO game with DALL-E 2, appeared first on Search Engine Watch.
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