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  2. Ideogram (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Ideogram_(text-to-image_model)

    Glossary. v. t. e. Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The model is capable of generating legible text in the images compared to other text-to-image models. [1][2]

  3. Text-to-image model - Wikipedia

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

    Text-to-image model. An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige ", generated by Stable Diffusion, a large-scale text-to-image model 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.

  4. PNG - Wikipedia

    en.wikipedia.org/wiki/PNG

    A PNG file contains a single image in an extensible structure of chunks, encoding the basic pixels and other information such as textual comments and integrity checks documented in RFC 2083. [7] PNG files have the ".png" file extension and the "image/png" MIME media type. [8] PNG was published as an informational RFC 2083 in March 1997 and as ...

  5. Text-to-image personalization - Wikipedia

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

    Text-to-image personalization. Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.

  6. Generative artificial intelligence - Wikipedia

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

    Once a Markov chain is learned on a text corpus, it can then be used as a probabilistic text generator. [29] [30] The terms generative AI planning or generative planning were used in the 1980s and 1990s to refer to AI planning systems, especially computer-aided process planning, used to generate sequences of actions to reach a specified goal.

  7. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    e. DALL·E, DALL·E 2, and DALL·E 3 (pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.

  8. Fraktur - Wikipedia

    en.wikipedia.org/wiki/Fraktur

    A modern sans-serif and four blackletter typefaces (left to right): Textur (a), Rotunda, Schwabacher and Fraktur. Fraktur (German: [fʁakˈtuːɐ̯] ⓘ) is a calligraphic hand of the Latin alphabet and any of several blackletter typefaces derived from this hand. It is designed such that the beginnings and ends of the individual strokes that ...

  9. Matrix digital rain - Wikipedia

    en.wikipedia.org/wiki/Matrix_digital_rain

    Matrix digital rain, or Matrix code, is the computer code featured in the Ghost in the Shell series and the Matrix series. The falling green code is a way of representing the activity of the simulated reality environment of the Matrix on screen by kinetic typography. All four Matrix movies, as well as the spin-off The Animatrix episodes, open ...

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