What you need to know about AI-generated art
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AI-generated art has been around for several years, although it's only recently become mainstream. In market terms, AI art creation platforms fall into the category of AI-generated content (AIGC).
DALL-E 2 is a type of AIGC. It creates images of comparable quality to those produced by human artists by entering certain keywords into the machines settings. And that ease of use translates to big business. According to InsightSLICE, the global AIGC market will reach $38.2 billion by 2030.
In early 2022, a series of AI-powered algorithms were introduced to allow users of all skill levels to generate images from single-line text. And these programs have steadily grown in number and complexity, reflecting an insatiable user demand for a diverse range of artistic styles and content types.
For example, NightCafe Studio users have generated over 75 million images and DALL-E 2's 1.5 million users generate over 2 million images per day. However, what these numbers don't reveal is the direction the industry is headed.
EventTransform 2023
Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.
Register nowAs an industry insider, I can assure you it will be very different than it is today.
Before looking to the future, it's worth looking back at how far the industry has come in just a few years. When I entered the industry, there were only four or five AI art generators. This was in 2019 before the existence of text to image conversion algorithms. At the time, the only AI art algorithms were "deep dream", which made images look like they had dog noses all over them, and "neural style transfer", which copied the style from one image and transferred it to another.
When the text to image algorithms came out in early 2021, starting with the announcement of DALL-E followed by some open source algorithms like VQGAN+CLIP, a few more AI art generators came out. But at the end of 2021, there were probably only about ten more apps. Then, in 2022, space started to accelerate and finally exploded when Stability AI released "Stable Diffusion" in open source.
Right now, there are way more AI art generators than even I can keep track of. It's now quite easy to create a new AI art generator app as a side project, so there are hundreds of them. But we're also seeing big players like Microsoft and Canva, and slightly smaller players like Picsart, and other big mobile apps adding text-to-image generation to their existing product offerings.
Where is the AI-powered art industry headed?AIGC, and more specifically AI image generation as an industry, is still extremely young. The big players are usually less than a year old, and the big names that have adopted image generation into their services are only...
Join senior executives in San Francisco on July 11-12 to learn how leaders are integrating and optimizing AI investments for success. Find out more
AI-generated art has been around for several years, although it's only recently become mainstream. In market terms, AI art creation platforms fall into the category of AI-generated content (AIGC).
DALL-E 2 is a type of AIGC. It creates images of comparable quality to those produced by human artists by entering certain keywords into the machines settings. And that ease of use translates to big business. According to InsightSLICE, the global AIGC market will reach $38.2 billion by 2030.
In early 2022, a series of AI-powered algorithms were introduced to allow users of all skill levels to generate images from single-line text. And these programs have steadily grown in number and complexity, reflecting an insatiable user demand for a diverse range of artistic styles and content types.
For example, NightCafe Studio users have generated over 75 million images and DALL-E 2's 1.5 million users generate over 2 million images per day. However, what these numbers don't reveal is the direction the industry is headed.
EventTransform 2023
Join us in San Francisco on July 11-12, where senior executives will discuss how they've integrated and optimized AI investments for success and avoided common pitfalls.
Register nowAs an industry insider, I can assure you it will be very different than it is today.
Before looking to the future, it's worth looking back at how far the industry has come in just a few years. When I entered the industry, there were only four or five AI art generators. This was in 2019 before the existence of text to image conversion algorithms. At the time, the only AI art algorithms were "deep dream", which made images look like they had dog noses all over them, and "neural style transfer", which copied the style from one image and transferred it to another.
When the text to image algorithms came out in early 2021, starting with the announcement of DALL-E followed by some open source algorithms like VQGAN+CLIP, a few more AI art generators came out. But at the end of 2021, there were probably only about ten more apps. Then, in 2022, space started to accelerate and finally exploded when Stability AI released "Stable Diffusion" in open source.
Right now, there are way more AI art generators than even I can keep track of. It's now quite easy to create a new AI art generator app as a side project, so there are hundreds of them. But we're also seeing big players like Microsoft and Canva, and slightly smaller players like Picsart, and other big mobile apps adding text-to-image generation to their existing product offerings.
Where is the AI-powered art industry headed?AIGC, and more specifically AI image generation as an industry, is still extremely young. The big players are usually less than a year old, and the big names that have adopted image generation into their services are only...
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