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

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

    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 were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.

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

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

    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.

  4. Phototypesetting - Wikipedia

    en.wikipedia.org/wiki/Phototypesetting

    Phototypesetting machines project characters onto film for offset printing. Prior to the advent of phototypesetting, mass-market typesetting typically employed hot metal typesetting – an improvement introduced in the late 19th century to the letterpress printing technique that offered greatly improved typesetting speed and efficiency compared to manual typesetting (where every sort had to be ...

  5. Create custom visuals on your iPhone with Image ... - AOL

    www.aol.com/news/create-custom-visuals-iphone...

    Apple's Image Playground transforms text prompts into images or animations in seconds, brining a world of creativity to the palm of your hand. Create custom visuals on your iPhone with Image ...

  6. 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.

  7. Handwriting recognition - Wikipedia

    en.wikipedia.org/wiki/Handwriting_recognition

    The data obtained by this form is regarded as a static representation of handwriting. Offline handwriting recognition is comparatively difficult, as different people have different handwriting styles. And, as of today, OCR engines are primarily focused on machine printed text and ICR for hand "printed" (written in capital letters) text.

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