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] { "style": "超写实奢华化妆品产品摄影", "composition": { "color_scheme": "戏剧性的单色蓝紫色", "resolution": "8K超高分辨率", "depth": "电影级景深", "aesthetic": "高端香氛护肤品广告风格" }, "product": { "type": "软管包装", "finish": "缎面质感", "color": "长春花蓝", "label": "NUBELLA", "typography": "优雅的银色字体", "cap": "反光金属铬盖", "position": "垂直居中" }, "surroundings": { "smoke": { "type": "墨水般的旋涡云雾", "colors": [ "薰衣草色", "靛蓝色", "冰蓝色" ], "texture": "柔软、翻腾", "interaction": "环绕在产品周围" }, "flowers": { "primary": [ { "color": "紫色", "details": "错综复杂的花瓣细节", "center": "鲜艳的黄色" }, { "color": "紫丁香色", "details": "错综复杂的花瓣细节", "center": "鲜艳的黄色" } ], "secondary": { "type": "细小的紫罗兰色花朵", "purpose": "增加立体感" } } }, "lighting": { "direction": "来自左上方的柔和定向照明", "effects": [ "突显软管的光滑曲度", "为金属盖增添微妙的光泽", "在烟雾中营造深度" ] }, "background": { "blend": "无缝的冷色调蓝色和紫色调", "enhancement": "空灵的花香美学" }, "details": "花瓣和蒸汽的超精细纹理" } [English] { "style": "Ultra-realistic luxury cosmetic product photography", "composition": { "color_scheme": "Dramatic monochromatic blue-violet", "resolution": "8K ultra-high resolution", "depth": "Cinematic depth", "aesthetic": "High-end perfumed skincare advertising style" }, "product": { "type": "Squeeze tube", "finish": "Satin-finish", "color": "Periwinkle-blue", "label": "NUBELLA", "typography": "Elegant silver", "cap": "Reflective metallic chrome", "position": "Vertically centered" }, "surroundings": { "smoke": { "type": "Ink-like swirling clouds", "colors": [ "Lavender", "Indigo", "Icy blue" ], "texture": "Soft, billowing", "interaction": "Wrapping around the product" }, "flowers": { "primary": [ { "color": "Purple", "details": "Intricate petal details", "center": "Vibrant yellow" }, { "color": "Lilac", "details": "Intricate petal details", "center": "Vibrant yellow" } ], "secondary": { "type": "Tiny violet blossoms", "purpose": "Added dimension" } } }, "lighting": { "direction": "Soft directional lighting from upper left", "effects": [ "Highlights smooth curvature of the tube", "Adds subtle sheen to metallic cap", "Creates depth within smoke plumes" ] }, "background": { "blend": "Seamless cool blue and purple tones", "enhancement": "Ethereal floral fragrance aesthetic" }, "details": "Hyper-detailed textures of petals and vapor" }
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 Product Marketing 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 product marketing 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.