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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. Text-to-image model - Wikipedia

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

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.

  4. 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.

  5. Adobe to bring full AI image generation to Photoshop this year

    www.aol.com/news/adobe-bring-full-ai-image...

    Adobe's image and video editing tools are widely used by creative professionals, but it faces rising competition from startups such as Microsoft-backed OpenAI, Midjourney and Stability AI, all of ...

  6. AI was everywhere in 2024. Here are the biggest stories of ...

    www.aol.com/news/ai-everywhere-2024-biggest...

    Flux AI image generation brings new visions to life. Skateboarding cats, dazzlingly beautiful crystals, and politicians in compromising situations are just some of the ways Flux, a new AI image ...

  7. AI image misinformation has surged, Google researchers find - AOL

    www.aol.com/news/ai-image-misinformation-surged...

    “Regardless, generative-AI images are now a sizable fraction of all misinformation-associated images.” Text is also a component in about 80% of all image-based misinformation, most commonly ...