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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.
The user can customize the theme and color scheme of the Bing Bar and choose which MSN content buttons to display. Bing Bar also has the local weather forecast and stock market positions. [78] The Bing Bar integrates with the Bing search engine. It allows searches on other Bing services such as Images, Video, News and Maps.
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]
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 was founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.
Example of Electric Sheep by Scott Draves. Since the founding of AI in the 1950s, artists and researchers have used artificial intelligence to create artistic works. These works were sometimes referred to as algorithmic art, [12] computer art, digital art, or New media art.
In March 2023, Bing incorporated Image Creator, an AI image generator powered by OpenAI's DALL-E 2, which can be accessed either through the chat function or a standalone image-generating website. [37] In October, the image-generating tool was updated to use the more recent DALL-E 3. [38]
Hotpot.ai showed an image with two female designers, both white (and hence the image was considered "white woman" for analysis purposes). One of the women was dark skinned. And one was a white man.
Generative AI, referred as GenAI, is a sub-field of Artificial Intelligence (AI), capable of generating new instances of data (e.g., text, images, code, audio, video) that are reflective of the examples they are trained on. [168] [169] [170] Training an AI model exclusively on the output of another AI model produces a lower-quality model.