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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.
This is a list of disclosed AI generated images that are used in Wikipedia articles, for purposes other than explaining or demonstrating AI. These uses might need to be reviewed to make sure they are appropriate. No on-wiki discussion or consensus has determined to what extent AI images are acceptable, except in the context of upscaling ...
Example of prompt engineering for text-to-image generation, with Fooocus. In 2022, text-to-image models like DALL-E 2, Stable Diffusion, and Midjourney were released to the public. [68] These models take text prompts as input and use them to generate AI-generated images.
AI generated images have become much more advanced. In March 2020, 15.ai, created by an anonymous MIT researcher, was a free web application that could generate convincing character voices using minimal training data. [42]
The software's name is a portmanteau of the names of animated robot Pixar character WALL-E and the Catalan surrealist artist Salvador Dalí. [ 15 ] [ 5 ] In February 2024, OpenAI began adding watermarks to DALL-E generated images, containing metadata in the C2PA (Coalition for Content Provenance and Authenticity) standard promoted by the ...
AI platforms such as "DALL-E", [283] Stable Diffusion, [283] Imagen, [284] and Midjourney [285] have been used for generating visual images from inputs such as text or other images. [286] 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.
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