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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.
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.
Lens can also use images to identify text and can find results from Google Search or translate the text with Google Translate in augmented reality. [9] Lens is also integrated with the Google Photos and Google Assistant apps. [5] The service originally launched as Google Goggles, a previous app that functioned similarly but with less capability.
AI platforms such as "DALL-E", [284] Stable Diffusion, [284] Imagen, [285] and Midjourney [286] have been used for generating visual images from inputs such as text or other images. [287] Some AI tools allow users to input images and output changed versions of that image, such as to display an object or product in different environments.
Meta’s share price hit a record high following the AI announcements, with the tech giant’s market cap now close to $1.5 trillion. Show comments Advertisement
Facebook has open-sourced an AI model that can translate between any pair of 100 languages without first translating them to English as an intermediary step. The system, called M2M-100, is ...
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