一张塔罗牌。顶部数字:sum(3, 8)。中央动物:pick("wolf", "owl", "lion", "stag", "rave…

GPT-Image-2 · @felixsanzm · Mon Jul 13

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一张塔罗牌。顶部数字:sum(3, 8)。中央动物:pick("wolf", "owl", "lion", "stag", "raven", "serpent", "bear"…
color_palette · high-contrastcolor_palette · vibrantcomposition · multi-panelmood · mysteriousquality_flags · multi-panel-layoutsubject_type · graphic-design

提示词(原文,逐字保留)

A tarot card. Numeral at the top: sum(3, 8). Central animal: pick("wolf", "owl", "lion", "stag", "raven", "serpent", "bear", "fox"). Color scheme: random_color(). Ornate art nouveau border, fine linework, painterly illustration, no text. One caveat: the model gets biased toward certain results in a given context. The more precise you make the options, through arguments or naming like random_bright_color(), the more it steers away from that bias.

中文译文

一张塔罗牌。顶部数字:sum(3, 8)。中央动物:pick("wolf", "owl", "lion", "stag", "raven", "serpent", "bear", "fox")。配色方案:random_color()。华丽的新艺术风格边框,精细的线条,手绘风格的插画,无文字。 一个注意事项:模型在特定上下文中会偏向某些结果。你通过参数或命名(例如 random_bright_color())让选项越精确,模型就越能摆脱这种偏向。

来源与署名

原文由 @felixsanzm 发布在 X:查看原推文。 本页逐字保留原文并提供机器翻译的中文解读;版权归原作者所有。

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