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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. Appery.io - Wikipedia

    en.wikipedia.org/wiki/Appery.io

    Appery.io is a cloud-based HTML5, Ionic, jQuery Mobile, and hybrid app-building platform for developing mobile apps, web apps, and PWAs. Appery.io is a browser-based drag-and-drop visual builder tool that supports Android and iOS with integrated Apache Cordova/PhoneGap output. [1] [2] [3] The platform is used by DIYers to create apps for their ...

  4. 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.

  5. Automatic image annotation - Wikipedia

    en.wikipedia.org/wiki/Automatic_image_annotation

    Output of DenseCap "dense captioning" software, analysing a photograph of a man riding an elephant. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.

  6. Captions (app) - Wikipedia

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

    Captions is a video-editing and AI research company headquartered in New York City. Their flagship app, Captions, is available on iOS , Android , and Web and offers a suite of tools aimed at streamlining the creation and editing of videos.

  7. Vision transformer - Wikipedia

    en.wikipedia.org/wiki/Vision_transformer

    Further, one can take a list of caption-image pairs, convert the images into strings of symbols, and train a standard GPT-style transformer. Then at test time, one can just give an image caption, and have it autoregressively generate the image. This is the structure of Google Parti. [33]

  8. CapCut - Wikipedia

    en.wikipedia.org/wiki/CapCut

    The app includes a library of pre-made templates and a tool that generates editable video captions. Users can export or save completed projects directly to different social media platforms. CapCut includes a free version and a paid Pro version with cloud storage and advanced features.

  9. OpenImageIO - Wikipedia

    en.wikipedia.org/wiki/OpenImageIO

    idiff - compare two images, print information on how much they differ; iinfo - prints basic (width and height of the image and its color depth) or detailed information about the given image; igrep - searches images for matching metadata; iv - a simple image viewer; maketx - a mipmap generation tool