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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.
These editors produce more logically structured markup than is typical of WYSIWYG editors, while retaining the advantage in ease of use over hand-coding using a text editor. Lyx (interface to Latex/Tex, via which can convert to/from HTML) WYMeditor
TinyMCE is an online rich-text editor released as open-source software under the GNU General Public License version 2 or later. [4] TinyMCE uses a freemium business model that includes a free Core editor and paid plans with advanced features. [5] It converts HTML textarea fields, or other designated HTML elements, into editor instances.
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GitHub Copilot was initially powered by the OpenAI Codex, [13] which is a modified, production version of the Generative Pre-trained Transformer 3 (GPT-3), a language model using deep-learning to produce human-like text. [14] The Codex model is additionally trained on gigabytes of source code in a dozen programming languages.
Generative AI systems trained on sets of images with text captions include Imagen, DALL-E, Midjourney, Adobe Firefly, FLUX.1, Stable Diffusion and others (see Artificial intelligence art, Generative art, and Synthetic media). They are commonly used for text-to-image generation and neural style transfer. [52]
Sphinx converts reStructuredText files into HTML websites and other formats including PDF, EPub, Texinfo and man. reStructuredText is extensible, and Sphinx exploits its extensible nature through a number of extensions – for autogenerating documentation from source code, writing mathematical notation or highlighting source code, etc.
Content being edited in the Amaya online rich-text editor. An online rich-text editor is the interface for editing rich text within web browsers, which presents the user with a "what-you-see-is-what-you-get" (WYSIWYG) editing area. The aim is to reduce the effort for users trying to express their formatting directly as valid HTML markup.
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