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Joseph Nathan Cohen

Sociologist at Queens College in the City University of New York

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Primitivism

How generative AI renders Primitivism: thin and thick prompts compared across two subjects.

AI Art Styles

This entry documents how a generative image model rendered Primitivism 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
Primitivism, Lake Kenogamissi, thin prompt
Thin prompt
Primitivism, Lake Kenogamissi, thick prompt
Thick prompt
Times Square
Primitivism, Times Square, thin prompt
Thin prompt
Primitivism, 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.

Primitivism art emphasizes simplistic and naturalistic depiction of subjects, often inspired by non-Western or prehistoric cultures. It rejects urban complexity and refinement in favor of naivety, innocence, and a raw aesthetic. Indigenous themes and symbols, along with a vivid color palette and emotional expressiveness, are key features. To create art in this style, use bold, unrefined lines, flatten perspectives, introduce non-realistic proportions, and incorporate primitive motifs and symbols from non-Western cultures.

About this movement

Background on Primitivism is available at its Wikipedia entry. The images above are not offered as an account of Primitivism 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.