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An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige", generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
AI generated images have become much more advanced. In 2021, the release of DALL-E, a transformer-based pixel generative model, followed by Midjourney and Stable Diffusion marked the emergence of practical high-quality artificial intelligence art from natural language prompts.
The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated. [ citation needed ] This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator. [ 65 ]
On April 25, 2017, Tenor introduced an app that makes GIFs available in MacBook Pro's Touch Bar. [10] [11] Users can scroll through GIFs and tap to copy it to the clipboard. [12] On September 7, 2017, Tenor announced an SDK for Unity and Apple's ARKit. It allows developers to integrate GIFs into augmented reality apps and games. [13] [14] [15] [7]
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]
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