From Realistic to Flat: The Illustration Style Spectrum of a Single Subject

Using the same subject and the same composition, gpt-image-2's text-to-image capability stretches out a style spectrum between "realistic photographic feel → impasto painting → semi-flat vector → minimalist flat." The method is to fix the invariants—subject, composition, light positions—and replace only the rendering language (medium, brushwork, light-and-shade handling, edge and color-block logic), thereby observing how the model responds to style descriptors when the semantic constraints stay unchanged. The topic targets scenarios that need a unified visual language yet also require multiple style variants: exploring brand illustration systems, selecting illustration styles for editorial publications, and rapidly iterating multiple versions of a design proposal. Because this model family emphasizes adherence to complex multi-constraint prompts and tidy typographic layout for text in the image, this entry keeps only one invariant subject and does not add text elements for now, making it easier to test the effect of style descriptions in isolation. The output is a single image, with dimensions set via the size field (this work uses a 2048x2048 square image).

Style Illustration · style-spectrum · editorial-print

Model GPT Image 2

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Prompt

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An editorial illustration of a solitary lighthouse on a rugged headland at dusk, viewed from a low three-quarter angle, with the horizon at the lower third of the frame. A seabird skims across the upper-left sky; the lighthouse beam sweeps to the right. Keep the composition and subject fixed across the entire style spectrum. Style: semi-flat vector illustration, between realistic and flat—simplified geometric volumes, a restrained palette dominated by slate blue, warm ochre, and pale cream, soft two-step shading rather than gradients, clean crisp edges, subtle paper texture, deliberate negative space in the sky. No text, no logos, no watermarks. Square 1:1 composition, ample white space, print-ready clarity.

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