
原始文档
GPT Image 2 · en
A realistic corporate office photo of a young man seated indoors, holding up a printed research paper toward the camera with both hands. His face is fully obscured by a solid rectangular censor block in a medium tan color. He has short dark brown hair and wears a plain dark charcoal crewneck sweater. The paper is a white letter-size document in portrait orientation, clearly visible and centered in front of his torso. The document title reads “DFlash: A High-Speed, Low-Latency, and High-Endurance Flash Memory Technology for Next-Generation Storage Systems”. Below it are the author lines “DFlash Research Team” and “DFlash Inc.” The page shows 4 visible text sections: “Abstract”, “1. Introduction”, “2. DFlash Technology Overview”, and “2.1 Dual Charge-Trapping Architecture”, set in a formal academic paper layout with dense black serif text. In the background, place a softly blurred modern office lobby with warm ambient lighting, beige walls, glass partitions, a sofa, indoor plants, and the black OpenAI logo and wordmark mounted on the wall at upper left. The composition is a medium shot, straight-on, with the subject slightly right of center so the OpenAI logo remains visible. Shallow depth of field, soft natural office lighting, polished photorealistic style, subtle warm color grading, high detail in the hands, paper, sweater texture, and interior environment. Keep the overall image clean, believable, and like a candid press or announcement photo. Use {argument name="document title" default="DFlash: A High-Speed, Low-Latency, and High-Endurance Flash Memory Technology for Next-Generation Storage Systems"} for the paper title, {argument name="company logo text" default="OpenAI"} for the wall branding, {argument name="sweater color" default="dark charcoal"} for the subject’s clothing, and {argument name="censor block color" default="medium tan"} for the face covering.使用方法
- 复制完整原始提示词,并保留其中的参数。
- 按需求替换主体、文字和构图要求。
- 在兼容的外部工具中使用,核对当前使用条件并检查结果。
开始前需了解
- 先确认是否需要参考图。标注兼容模型,不代表该示例由这个模型生成。
- 核对名称、数字与画面文字;不同模型版本的结果可能不同。





