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  2. Adobe Photoshop - Wikipedia

    en.wikipedia.org/wiki/Adobe_Photoshop

    Adobe Photoshop is a raster graphics editor developed and published by Adobe for Windows and macOS.It was created in 1987 by Thomas and John Knoll.It is the most used tool for professional digital art, especially in raster graphics editing, and its name has become genericised as a verb (e.g. "to photoshop an image", "photoshopping", and "photoshop contest") [7] although Adobe disapproves of ...

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image sharpening: original (top), image sharpened (bottom). Another form of image sharpening involves a form of contrast. This is done by finding the average color of the pixels around each pixel in a specified radius, and then contrasting that pixel from that average color. This effect makes the image seem clearer, seemingly adding details.

  4. Photopea - Wikipedia

    en.wikipedia.org/wiki/Photopea

    Photopea is free advertising-supported software, and offers a premium ad-free subscription. It is compatible with all modern web browsers, including Opera , Edge , Chrome , and Firefox . [ 5 ] The app is compatible with raster and vector graphics , such as Photoshop's PSD as well as JPEG , PNG , DNG , GIF , SVG , PDF and other image file formats.

  5. Photoshop unveils ‘extraordinary’ AI that transforms your ...

    www.aol.com/photoshop-unveils-extraordinary-ai...

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  6. 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.

  7. Text-to-image personalization - Wikipedia

    en.wikipedia.org/wiki/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.