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  2. AI Image Generators Will Blow Your Mind. Here Are the 3 Best ...

    www.aol.com/lifestyle/ai-image-generators-blow...

    Top 3 AI Image Generators Matt Crisara via Midjourney Artificial Intelligence (AI) has blown up in popularity as one of the most exciting and misunderstood technologies of recent times.

  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. [46] Unlike previous algorithmic art that followed hand-coded rules, generative adversarial networks could learn a specific aesthetic by analyzing a dataset of example images. [12]

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data.

  5. Cara (app) - Wikipedia

    en.wikipedia.org/wiki/Cara_(app)

    Cara automatically tags its art with "NoAI" tags, a form of voluntary exclusion protocol to discourage AI scrapers. [4] [8] [10] On December 1, 2023, Cara introduced support for Glaze, a tool developed by SAND Lab at the University of Chicago. [4] [11] Artists could "glaze" their art during upload to disincentivize style mimicry by AI image ...

  6. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    The software's name is a portmanteau of the names of animated robot Pixar character WALL-E and the Catalan surrealist artist Salvador Dalí. [ 15 ] [ 5 ] In February 2024, OpenAI began adding watermarks to DALL-E generated images, containing metadata in the C2PA (Coalition for Content Provenance and Authenticity) standard promoted by the ...

  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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