Why this prompt works
It defines the core subject and headline, specifies typography style, lighting, texture, colors, and composition to guide the model toward a cinematic, high-contrast poster with strong readability.
Use this section when you need the complete GPT Image2 prompt wording, not just the summary. Review the structure, copy the full GPT Image2 prompt as-is, and then replace the subject, brand, style, or use case to fit your own workflow. This full GPT Image2 prompt block is the best place to study how the prompt is assembled before you test your own version. Treat this GPT Image2 prompt section as the source text you refine step by step.
[中文] { "prompt": "一位年轻男子的超写实电影级双重曝光侧脸肖像,表情专注强烈,皮肤纹理细节丰富,眼神锐利。他的面部与从剪影中浮现的未来主义城市天际线无缝融合,摩天大楼和城市建筑构成了他的颈部和下颌线。深蓝色和鲜艳红色的强烈对比,象征着冲突与力量。抽象的数字划痕、碎裂的玻璃纹理和漏光效果覆盖在面部,营造出戏剧性的效果。干净的白色背景,超精细的灯光,专业电影海报风格,高对比度,清晰聚焦,8K分辨率,逼真的发丝,社论海报构图,现代平面设计美学,戏剧性的氛围,超高清,照片级真实。", "negative_prompt": "模糊,低分辨率,扭曲的面部,多余的肢体,过饱和的颜色,嘈杂的背景,平淡的灯光,卡通化,低细节", "resolution": "8K", "style": "电影感,双重曝光,照片级真实感,社论海报", "background": "干净的白色", "lighting": "高对比度,戏剧性的蓝红分割布光" } [English] { "prompt": "A hyper-realistic cinematic double exposure portrait of a young man in side profile, intense focused expression, detailed skin texture and sharp eyes. His face seamlessly blended with a futuristic city skyline emerging from his silhouette, skyscrapers and urban buildings forming his neck and jawline. Strong contrast of deep blue and vibrant red tones symbolizing conflict and power. Abstract digital scratches, fractured glass textures, and light leaks overlaying the face for a dramatic effect. Clean white background, ultra-detailed lighting, professional movie poster style, high contrast, sharp focus, 8K resolution, realistic hair strands, editorial poster composition, modern graphic design aesthetics, dramatic mood, ultra-HD, photorealistic.", "negative_prompt": "blurry, low resolution, distorted face, extra limbs, oversaturated colors, noisy background, flat lighting, cartoonish, low detail", "resolution": "8K", "style": "cinematic, double exposure, photorealistic, editorial poster", "background": "clean white", "lighting": "high contrast, dramatic blue and red split lighting" }
It defines the core subject and headline, specifies typography style, lighting, texture, colors, and composition to guide the model toward a cinematic, high-contrast poster with strong readability.
Create a premium editorial poster for the headline "[TITLE]" with [TYPOGRAPHY STYLE], [LIGHTING STYLE], [COLOR PALETTE], [TEXTURE], [COMPOSITION], and [MOOD/ATMOSPHERE].
Use this GPT Image2 prompt as a working reference, not just a one-off sample. Keep the structure that already defines the output clearly, then replace the subject, typography, environment, campaign context, or aspect ratio to match your own goal. If you need more examples before rewriting the GPT Image2 prompt, go back to the Realistic People category page or continue into the related prompts below. This GPT Image2 prompt workflow works best when you keep the original structure visible while you rewrite each key variable. A stable GPT Image2 prompt baseline usually makes revision work much faster.
Start by copying the full GPT Image2 prompt, then replace the subject, style language, and output goal with your own brief. Keep the visual structure if you want results in the same direction, and reuse the GPT Image2 prompt skeleton before you add brand-specific details. In practice, this GPT Image2 prompt works best when you change a small number of variables per iteration.
You can change the headline, product, mood, lighting, composition, typography, and end use while keeping the core GPT Image2 prompt logic that makes the example useful. In most cases, the best result comes from editing one GPT Image2 prompt variable at a time instead of rewriting everything at once. That keeps the GPT Image2 prompt structure stable while you test new creative directions.
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Explore more from the realistic people collection to compare GPT Image2 prompt structures, visual directions, and reusable ideas that stay close to this example. Open another GPT Image2 prompt example if you want a nearby variation before rewriting your final version. That extra GPT Image2 prompt comparison step often helps you refine the final wording with less guesswork.