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An example of photo-text installation, in which a series of black and white photographs are shown alongside six engraved text plaque. Photo-text , also written as photo/text , is a hybrid form of artistic expression that combines photography and textual elements to convey a message or create a narrative.
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.
Wide images opposite one another ..... can create an unsightly text sandwich (depending on platform and window size). Multiple images can be staggered right and left. However, avoid sandwiching text between two images horizontally opposite each other; or between an image and an infobox, navigation tem ...
Examples of these range from multiple forms of content on websites, like photo galleries with both images (pictures) and titles (text) user-updated, to simulations whose coefficients, events, illustrations, animations, or videos are modifiable, allowing the multimedia "experience" to be altered without reprogramming.
Visual literacy is the ability to evaluate, apply, or create conceptual visual representations. Skills include the evaluation of advantages and disadvantages of visual representations, to improve shortcomings, to use them to create and communicate knowledge, or to devise new ways of representing insights.
Illustration by Jessie Willcox Smith (1863–1935). An illustration is a decoration, interpretation, or visual explanation of a text, concept, or process, [1] designed for integration in print and digitally published media, such as posters, flyers, magazines, books, teaching materials, animations, video games and films.
Above: An image classifier, an example of a neural network trained with a discriminative objective. Below: A text-to-image model, an example of a network trained with a generative objective. Since its inception, the field of machine learning used both discriminative models and generative models, to model and predict data.
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.