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Joseph Nathan Cohen

Sociologist at Queens College in the City University of New York

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Post-Impressionism

How generative AI renders Post-Impressionism: thin and thick prompts compared across two subjects.

AI Art Styles

This entry documents how a generative image model rendered Post-Impressionism when the movement was named in a prompt. It forms part of a survey of 60 art movements generated in February 2024.

The images

Two subjects are held constant across the series: Lake Kenogamissi in Northern Ontario, and Times Square in New York City. Each is rendered twice. A thin prompt names the movement and nothing else. A thick prompt supplies a generated description of the movement’s visual characteristics.

Lake Kenogamissi
Post-Impressionism, Lake Kenogamissi, thin prompt
Thin prompt
Post-Impressionism, Lake Kenogamissi, thick prompt
Thick prompt
Times Square
Post-Impressionism, Times Square, thin prompt
Thin prompt
Post-Impressionism, Times Square, thick prompt
Thick prompt

The thick descriptor

The following description was generated by GPT-4 and supplied to the image model as the thick prompt.

Postimpressionism steeped itself in vivid, often unnatural colors with noticeable brushstrokes and an emphasis on geometric forms. This movement used techniques such as pointillism and synthetism, distorting forms for expressive effects and straying from the naturalistic depiction of light and color. Creating art in this style involves blending Impressionist hues with abstraction, rejecting strict adherence to visual reality, and focusing on emotional response.

About this movement

Background on Post-Impressionism is available at its Wikipedia entry. The images above are not offered as an account of Post-Impressionism as art historians understand it. They record what a commercial image model produced when asked for the style by name.

About this series

This entry is part of a survey, described in the series introduction. The full set of 60 movements is browsable in the Art Styles index. The survey used text-to-image generation, in which composition varies alongside the style itself.

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Associate Professor of Sociology at Queens College, CUNY. Writes about household finance, culture, and the tools social scientists use to measure economic life.