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Example reading "خط نڛتعليق" ("Nastaliq script") in Nastaliq. The dotted form ڛ is used in place of س .. Nastaliq (/ ˌ n æ s t ə ˈ l iː k, ˈ n æ s t ə l iː k /; [2], Persian: [næstʰæʔliːq]; Urdu: [nəst̪ɑːliːq]), also romanized as Nastaʿlīq or Nastaleeq, is one of the main calligraphic hands used to write the Perso-Arabic script and it is used for some ...
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
While the site was originally free to use, a €3 charge was introduced after about a year. [7] The site featured a system where people could place ads and pay by calling a special number which would bill to their phone, as well as credit or debit card and PayPal account. [8]
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.
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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 [88] and/or selection of a broad aesthetic/art style.
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 generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated. [ citation needed ] This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator. [ 65 ]