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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.
Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.
DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]
An example of prompt usage for text-to-image generation, using Fooocus. Prompts for some text-to-image models can also include images and keywords and configurable parameters, such as artistic style, which is often used via keyphrases like "in the style of [name of an artist]" in the prompt [91] and/or selection of a broad aesthetic/art style.
Quick, Draw! is an online guessing game developed and published by Google LLC that challenges players to draw a picture of an object or idea and then uses a neural network artificial intelligence to guess what the drawings represent. [2] [3] [4] The AI learns from each drawing, improving its ability to guess correctly in the future. [3]
Roblox – a sandbox game that has spawned several memes, such as its "oof" sound. QWOP – A browser-based game requiring the player to control a sprint runner by using the Q, W, O, and P keys to control the runner's legs. The game is notoriously difficult to control, typically leaving the runner character flailing about.
The first AI art program, called AARON, was developed by Harold Cohen in 1968 [282] with the goal of being able to code the act of drawing. It started by creating simple black and white drawings, and later to painting using special brushes and dyes that were chosen by the program itself without mediation from Cohen.
Generative image models are adept at imitating the visual style of particular artists in their training set, prompting a backlash from some artists who object to having imitations of their style generated on a massive scale without their permission. Around the 2020s, generative AI models learned to imitate the distinct style of particular authors.