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.
Full GPT Image2 Prompt Example
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] { "相机参数": { "设备类型": "iPhone 15 Pro 前置自拍", "镜头": "24mm", "构图": "高角度 POV（第一人称视角）", "后期处理": "计算摄影风格，清晰的数字读出，深景深" }, "主体描述": { "特征": "陶瓷娃娃审美，无瑕的苍白皮肤，巨大的冰蓝色眼睛，小巧的鼻子，翘起的自然色嘴唇", "表情": "面无表情，空洞，瞪大眼睛注视", "造型": "白金色的双紧辫发型，鲜艳的蓝色美甲", "服装": "浅蓝色紧身弹力棉上衣，极深超宽 V 领，深邃锁骨与领口线", "动作": "抬头仰视镜头，用一只手遮挡刺眼的阳光" }, "环境与灯光": { "场景": "广阔的沙滩，背景中模糊的海平线", "灯光": "高调明亮的沿海日光，5500K 色温，强烈的白沙反光填充，均匀照明", "质感": "微带露水的无孔皮肤，细腻的反光白沙颗粒" }, "技术约束": { "色彩科学": "柔和的粉彩色调，线性中性色，高曝光", "负面提示词": [ "重阴影", "雪", "冬装", "红指甲", "黑色上衣", "保守的领口", "胶片颗粒感" ] } } [English] { "cameraParameters": { "deviceType": "iPhone 15 Pro front selfie", "lens": "24mm", "composition": "High angle POV (first-person perspective)", "postProcessing": "Computational photography style, clear digital readout, deep depth of field" }, "subjectDescription": { "features": "Porcelain doll aesthetic, flawless pale skin, huge ice-blue eyes, small nose, slightly upturned natural-colored lips", "expression": "Expressionless, hollow, wide-eyed staring", "styling": "Platinum blonde tight double braids hairstyle, vibrant blue nail polish", "clothing": "Light blue tight stretch cotton top, extremely deep ultra-wide V-neck, deep collarbone and neckline", "action": "Looking up at the camera, blocking the glaring sunlight with one hand" }, "environmentAndLighting": { "scene": "Vast sandy beach, blurry horizon in the background", "lighting": "High-key bright coastal daylight, 5500K color temperature, strong white sand reflection fill, even lighting", "texture": "Slightly dewy poreless skin, fine reflective white sand particles" }, "technicalConstraints": { "colorScience": "Soft pastel tones, linear neutral colors, high exposure", "negativePrompts": [ "Heavy shadows", "Snow", "Winter clothing", "Red nails", "Black top", "Conservative neckline", "Film grain" ] } }
Refine This Prompt
What you can change
- Title text and tagline
- Color palette and lighting mood
- Typography style and weight
- Background environment or texture
- Aspect ratio and composition
Reusable template
Create a premium editorial poster for the headline "[TITLE]" with [TYPOGRAPHY STYLE], [LIGHTING STYLE], [COLOR PALETTE], [TEXTURE], [COMPOSITION], and [MOOD/ATMOSPHERE].
How to adapt this GPT Image2 prompt
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.
FAQ about this prompt example
How should I use the 苍白陶瓷娃娃沙滩仰视 prompt example?
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.
What can I change without losing the original structure?
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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Related Realistic People prompt examples
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.
