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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. 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 ...

4. Artificial intelligence art - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_art

   An image generated with DALL-E 2 based on the text prompt 1960's art of cow getting abducted by UFO in midwest. Artificial intelligence art is visual artwork created or enhanced through the use of artificial intelligence (AI) programs. Artists began to create artificial intelligence art in the mid to late 20th century when the discipline was ...

5. InFlux Technologies Launches FluxONE, Pioneering AI Image ...

   lite.aol.com/tech/story/0022/20241008/9252666.htm

   CAMBRIDGE, United Kingdom, Oct. 08, 2024 (GLOBE NEWSWIRE) -- InFlux Technologies (Flux), a leading global decentralized technology company specializing in cloud infrastructure, artificial intelligence, and decentralized cloud computing services, today announced its FluxAI product suite has launched FluxONE, an AI image generation platform powered by FLUX.1 technology, a text-to-image model.

6. AI art is facing a copyright problem. Here's what it means ...

   www.aol.com/finance/ai-art-facing-copyright...

   The questions of who determines the ownership of AI-generated images and whether creators—whose work is used to train AI models—should share the profits of an image or text generated using ...

7. 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.