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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]
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.
A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.
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 was founded by Robin Rombach, Andreas Blattmann, and Patrick Esser. [2] As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.
A "responsible" AI image generation startup backed by stock photo provider has raised $24 million in a Series A funding round, including from top ad agency Publicis Groupe, it said on Wednesday.
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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