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  2. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    Microsoft unveiled their implementation of DALL-E 2 in their Designer app and Image Creator tool included in Bing and Microsoft Edge. [13] The API operates on a cost-per-image basis, with prices varying depending on image resolution. Volume discounts are available to companies working with OpenAI's enterprise team. [14]

  3. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    The GAN uses a "generator" to create new images and a "discriminator" to decide which created images are considered successful. [32] Unlike previous algorithmic art that followed hand-coded rules, generative adversarial networks could learn a specific aesthetic by analyzing a dataset of example images.

  4. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    In December 2022, Midjourney was used to generate the images for an AI-generated children's book that was created over a weekend. Titled Alice and Sparkle, the book features a young girl who builds a robot that becomes self-aware. The creator, Ammaar Reeshi, used Midjourney to generate a large number of images, from which he chose 13 for the ...

  5. Getty-backed AI image generator BRIA snags fresh funding - AOL

    www.aol.com/news/getty-backed-ai-image-generator...

    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.

  6. Microsoft Bing - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Bing

    That same month, Bing incorporated an AI image generator powered by OpenAI's DALL-E 2, which can be accessed either through the chat function or a standalone image-generating website. [43] In October, the image-generating tool was updated to the more recent DALL-E 3. [44]

  7. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    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.

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