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  2. Adobe Firefly - Wikipedia

    en.wikipedia.org/wiki/Adobe_Firefly

    NVIDIA Picasso runs some Adobe Firefly models. [10] Google planned to use Firefly in Bard (now Gemini) as its AI image generator, but ended up using their own Imagen model. [11] Mattel, IBM, and Dentsu have also partnered with Adobe. [12] The demo showed a capability for generating variations of photos. [13]

  3. StyleGAN - Wikipedia

    en.wikipedia.org/wiki/StyleGAN

    This image was generated by an artificial neural network based on an analysis of a large number of photographs. The Style Generative Adversarial Network, or StyleGAN for short, is an extension to the GAN architecture introduced by Nvidia researchers in December 2018, [1] and made source available in February 2019. [2] [3]

  4. Microsoft Copilot - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Copilot

    In March 2023, Bing incorporated Image Creator, an AI image generator powered by OpenAI's DALL-E 2, which can be accessed either through the chat function or a standalone image-generating website. [99] In October, the image-generating tool was updated to use the more recent DALL-E 3. [100]

  5. Neural network creates photo-realistic images of fake celebs

    www.aol.com/news/2017-10-30-neural-network...

    While Facebook and Prisma tap AI to transform everyday images and video into flowing artworks, NVIDIA is aiming for all-out realism. The graphics card-maker just released a paper detailing its use ...

  6. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]

  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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