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.
{ "type": "UI/UX landing page mockup", "theme": "dark mode, sleek modern aesthetic, glassmorphism, {argument name=\"primary accent color\" default=\"neon purple and blue\"} glowing accents", "header": { "logo": "{argument name=\"brand name\" default=\"goViralX\"}", "top_right_tag": "VIRAL CAMPAIGN CASE STUDY" }, "layout": { "sections": [ { "name": "Hero", "headline": "{argument name=\"hero headline\" default=\"How We Created 10M+ Viral Impact\"}", "subheadline": "3天引爆全网, 助力品牌实现指数级增长", "stats_row": { "count": 4, "labels": ["总播放量", "互动率", "转化咨询", "执行周期"], "values": ["{argument name=\"main statistic\" default=\"10,240,000+\"}", "18.7%", "3,200+", "72小时"] }, "visual": "cinematic shot of a person in a hoodie looking at glowing digital screens and graphs, large play button overlay" }, { "name": "Strategy", "title": "Our 3-Day Execution Strategy", "layout_type": "vertical timeline", "steps_count": 3, "elements_per_step": ["timeline node", "title", "bullet points", "video thumbnail with play button", "description box"] }, { "name": "Performance", "title": "Data-Driven Performance", "left_column": { "stat_cards_count": 4, "values": ["10M+", "43%", "28,000+", "3,200+"] }, "right_column": { "charts_count": 2, "chart_1": "line graph showing 7-day growth peaking at Day 3", "chart_2": "horizontal segmented bar chart showing platform distribution (TikTok 52%, Instagram 24%, X 15%, YouTube 9%)" } }, { "name": "Keys to Success", "title": "The 3 Keys to Viral Success", "cards_count": 3, "card_elements": ["glowing icon (fire, target, antenna)", "title", "description", "VIEW DETAIL link"] }, { "name": "Social Proof", "title": "TRUSTED BY CREATORS & BRANDS", "left_column": { "logos_count": 8, "grid": "2x4", "brands": ["SHEIN", "SHOPLINE", "Blueglass", "instacart", "lemon8", "mi", "CIDER", "bellroy"] }, "right_column": { "testimonial_cards_count": 2, "elements": ["quote", "author title (SaaS Founder, Growth Manager)"] } }, { "name": "Call to Action", "title": "READY TO GO VIRAL?", "interactive_elements": ["text input field", "glowing button with text '{argument name=\"call to action text\" default=\"获取专属增长方案 ->\"}'"], "visual": "3D render of a rocket ship taking off with purple and blue flames" } ] } }
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 UI / Dashboard 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 ui dashboard 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.