The Text-to-Image AI Generator: the Revolution in Imagery Production | MAPEGY

Alessia Gaspodini   ·   Sep 6 2022

Just think about a text description: the Text-to-Image AI generator converts those words into images. As one of the massive trends in the machine learning sector, it’s predicted to be the start of a revolution in imagery production (they do, in fact, eliminate the need for technical labor in the creation of pics).

In January 2021, OpenAI, an artificial intelligence research laboratory, released under the name of DALL-E their new text to image generator AI, and today, after only one year, they have already developed a new system, DALL-E 2, which has a 4x greater resolution. You might have seen an astronaut riding a horse in a photorealistic style, or a painting of a fox sitting in a field at sunrise in the style of Claude Monet. (here's the link to the official page)

an astronaut riding a horse in a photorealistic style,a painting of a fox sitting in a field at sunrise in the style of Claude Monet.


What you see here are 2 of the results of this new text-to-image generator AI, which recently hit the web enormously. This innovation can also edit existing images, add and remove elements, tones, and shades. It can also create different variations of an existing image. Ready to have your unique images whenever you want? OpenAI announced last month that DALL-E is now accessible as a public beta (meaning that the service is available for any member to use, just sign up for the waitlist). In the meantime, you can play around with the existing images and combinations on the DALL-e 2 website. You can choose your main characters (i.e., teddy bears) and see how the AI locates them within different contexts.

Here are teddy bears working on new AI research on the moon in the 1980s.
teddy bears working on new AI research on the moon in the 1980s

While here are teddy bears working on new AI research underwater with 1990s technology.
teddy bears working on new AI research underwater with 1990s technology.

Besides this website, there are also some other tools that you can use to play around with AI and create your own projects. Starry AI, Dream by Wombo, and Nightcafe are some of the websites you can check out to make room for your imagination. (Yes, you should try it out. Research shows that boosting your imagination and creativity enhances problem solving skills, develops your self-confidence, and even saves you money). Go ahead and trigger your curiosity!
What would you ask this machine to create? What would you give life to? You're one click away to become an AI artist!

RON 3

"For example, here’s my text-to-image AI result: travelling flowers." 

travelling flowers 

Conclusion
Because AI text-to-image technology is revolutionizing the creation of imagery, it also plays a significant role in the world of NFTs. For example, StarryAI, the art generation tool that has been mentioned before, allows you to turn your own projects into unique NFTs. As of August 15, on the Ethereum, Ronin, and Flow blockchains, there had been registered a total of about 21.4 thousand sales of NFTs in just 30 days (source: Statista). But this is not surprising if we think that around 360,000 people own NFTs and only 32,400 own an estimation of 2.7 million distinct NFTs). The first NFT ever was created in 2014 by Kevin McCoy and Anil Dash, and it consists of a video clip made by McCoy's wife, Jennifer.

And you? Do you have an NFT?

Insights from SCOUT
Top Companies and Startups in the AI text-to-image generation sector

With SCOUT, MAPEGY’s AI platform, you can deep dive into your technology of interest and gain insights with just one click. You can be sure to have the full and most up-to-date picture of industry and academic data from: latest trends, forecasts, startups, competitors, partners, technologies, and publications. But also related topics, forecasts and events.

Here’s the link to the project I created about AI text-to-image generator technology. You can have a look at the top players in this sector and filter them by country, news, publications, etc. Deep dive into it and let us know if you want to play around with some other interesting topics. We’d be happy to help you define your future with our all-in-one platform.

References

https://www.statista.com/statistics/1235228/nft-art-monthly-sales-volume/

https://openai.com/dall-e-2/

https://www.vox.com/23150422/text-to-image-ai-deep-learning

https://www.makeuseof.com/ai-text-to-art-generators/

https://www.mapegy.com/

https://scout.mapegy.com/shared-project/e67c65f06318550a12a71?key=e67c65f0%2B9rY%2B%2FeGrHCglkck3dh2yGlc

https://openai.com/dall-e-2/

https://www.starryai.com/create/one

https://www.wombo.art/

https://creator.nightcafe.studio/