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Since going viral online, Boris Dayma's Dall-E mini project has seen huge growth, but where does it go from here? AI image generators are having their moment right now.
Thanks to OpenAI and their creation known as Dall-E 2, people across the internet have been able to make their own detailed images just from worded prompts. However, while both of these inventions were revolutionary in the AI world, they were only available to a select few, offering waitlists as they slowly gave access to new users.
Shortly after, the internet exploded with people making their own Dall-E images, albeit at a much lower level of quality. We spoke to the creator of Dall-E mini about how it came to be, its viral potential and the future of the project. Dall-E mini is yet another AI image generator taking the internet by storm.
However, where it differs is that it is completely free for everyone to use. Despite the near-identical name, it has nothing to do with OpenAI, other than making use of the large amount of publicly-available information OpenAI has provided on their model.
Instead, this project was created by a software engineer known as Boris Dayma. He was paired up with a team and given support on his project, where they all decided to try and create an AI image generator like Dall-E.
It was not at the level it is now, but it could produce simple prompts like beach at night or day. We won the competition and I continued to work on the product, making improvements since then. One key difference with Dall-E mini is that it is not filtered at all due to the smaller team and free-to-use nature. This means people are able to use Dall-E mini for everything from cartoons performing a Ted Talk and celebrities playing Quidditch, to uses of racism, extreme violence or depictions of real-world traumatic situations.
With this free service going viral online, there were suddenly a lot more people than just Boris using the platform. His main takeaway was the creativity of its newfound users. He has even taken to scrolling through Twitter when he needs to relax, checking out what people can create. While any term will likely produce a result that matches, no matter how niche, you could find yourself squinting to see the comparison.
Because of this, the model makes a lot of mistakes. If the eyes are out of order or the nose is misshaped, it is weird. Really, the model is equally good or bad at everything. Some have found ways to force the model to create a face by writing long and detailed prompts, listing the size and location of each part of the face. As it became viral, I made small changes to make it more efficient and then I could handle more traffic, but then the traffic would increase again, and I could never keep up.
However, with more scales and growth, Boris is now asking the same question that both OpenAI and Google will be questioning — whether this keep going without any financial aid or monetisation. I want to be able to make it scalable so everyone use it now and it is very important to me to make it free for everyone to use. My goal is for this to be a self-sustainable project that everyone can use for fee.
He has worked in technology and science journalism since graduating in with an interest in consumer tech, robotics, AI and future technology. Discover our latest special editions covering a range of fascinating topics from the latest scientific discoveries to the big ideas explained. Listen to some of the brightest names in science and technology talk about the ideas and breakthroughs shaping our world.
PLUS a free mini-magazine for you to download and keep. By entering your details, you are agreeing to our terms and conditions and privacy policy. You can unsubscribe at any time. No result. Home Science news Dall-E mini: Creator explains blurred faces, going viral and the future of the project. Dall-E mini: Creator explains blurred faces, going viral and the future of the project. By Alex Hughes. Share on facebook. Share on twitter. Share on whatsapp.
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