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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.
Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [69] Google Photos, [70] and the Adobe Suite (Adobe Firefly). [71] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [72] language model.
The discrete VAE can convert an image to a sequence of tokens, and conversely, convert a sequence of tokens back to an image. This is necessary as the Transformer does not directly process image data. [22] The input to the Transformer model is a sequence of tokenized image caption followed by tokenized image patches.
Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.
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]
AI-based images have become more commonplace in art markets and search engines because AI-based text-to-image systems are trained from pre-existing artistic images, sometimes without the original artist's consent, allowing the software to mimic specific artists' styles.
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