DALL-E 2, Stable Diffusion, Midjourney: How do AI art generators work, and should artists fear them? Matthew Ashe, δημοσίευση στο Euronews [30/12/2022]Marilena Pateraki
Throughout human history, technological progress has made some workers obsolete while empowering others. Workers in industries such as transport and manufacturing have already been strongly impacted by advancements in automation and artificial intelligence.
Today, it’s the creative sector that’s on the line. Visual artists, designers, illustrators and many other creatives have watched the arrival of AI text-to-image generators with a mix of awe and apprehension.
This new technology has sparked debate around the role of AI in visual art and issues such as style appropriation. Its speed and efficiency have triggered fears of redundancy among some artists, while others have embraced it as an exciting new tool.
What is an AI text-to-image generator?
An AI text-to-image generator is a software that creates an image from a user’s text input, which is referred to as a prompt. These AI tools are trained on huge datasets of pairs of text and images.
DALL-E 2 and Midjourney have not yet made their datasets public. However, the popular open-source tool Stable Diffusion has been more transparent about what it trains its AI on.