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AI-based images have become more commonplace in art markets and search engines because AI-based text-to-image systems are trained from pre-existing artistic images, sometimes without the original artist's consent, allowing the software to mimic specific artists' styles.
Given an existing image, DALL-E 2 can produce "variations" of the image as individual outputs based on the original, as well as edit the image to modify or expand upon it. DALL-E 2's "inpainting" and "outpainting" use context from an image to fill in missing areas using a medium consistent with the original, following a given prompt.
Scanner support Freehand sketch Raster filters Change color depth Image resize Rotate Crop Raster shapes Easy Trace Yes Yes Yes Yes Yes Yes Yes
In 2022, the output of state-of-the-art text-to-image models—such as OpenAI's DALL-E 2, Google Brain's Imagen, Stability AI's Stable Diffusion, and Midjourney—began to be considered to approach the quality of real photographs and human-drawn art. Text-to-image models are generally latent diffusion models, which combine a language model ...
[18] [19] It can be used to generate pictures that have visual effects similar to traditional fine art. The essential idea of image generators is that people can use text descriptions to let AI convert their text into visual picture content. Anyone can turn their language into a painting through a picture generator. [20]
An artist drawing on a graphics tablet in 2014 "Alice in Wonderland", a 2010 digital painting by David Revoy, depicting some elements and characters from the 1865 novel. Digital painting is the creation of imagery on a computer, using pixels (picture elements) which are assigned a color.
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