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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. Pixlr - Wikipedia

   en.wikipedia.org/wiki/Pixlr

   Pixlr is a group of AI-powered SaaS creative tools including Pixlr.com, Designs.ai and Vectr.com. [1] Pixlr.com is a cloud-based set of image editing tools and utilities, including AI image generation and enhancements. The Pixlr suite targets users who require simple to advanced photo editing as well as graphic design. [2]

4. Synfig - Wikipedia

   en.wikipedia.org/wiki/Synfig

   Synfig Studio (also known as Synfig) is a free and open-source vector-based 2D animation software. [3] It is created by Robert Quattlebaum [4] with additional contributions by Adrian Bentley. Synfig began as the custom animation platform for Voria Studios (now defunct), [5] and in 2005 was released as free/open source software, under GNU GPL-2. ...

5. Getty-backed AI image generator BRIA snags fresh funding - AOL

   www.aol.com/news/getty-backed-ai-image-generator...

   A "responsible" AI image generation startup backed by stock photo provider has raised $24 million in a Series A funding round, including from top ad agency Publicis Groupe, it said on Wednesday.

6. 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.

7. Artificial intelligence art - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_art

   AI-based images have become more commonplace in art markets and search engines because AI-based text-to-image systems are trained from pre-existing artistic images, sometimes without the original artist's consent, allowing the software to mimic specific artists' styles.