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In the 2020s, text-to-image models, which generate images based on prompts, became widely used, marking yet another shift in the creation of AI generated artworks. [ 2 ] In 2021, using the influential large language generative pre-trained transformer models that are used in GPT-2 and GPT-3 , OpenAI released a series of images created with the ...
As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these created by models based on Stable Diffusion. [183] If AI-generated content is included in new data crawls from the Internet for additional training of AI models, defects in the resulting models may occur. [184]
DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]
AI-generated images: Look at the context for red flags. It’s hard to spot fakes, so the most reliable cause for suspicion is often the context in which you see an image. Stop and ask yourself ...
Hotpot.ai showed an image with two female designers, both white (and hence the image was considered "white woman" for analysis purposes). One of the women was dark skinned. And one was a white man.
Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.