Multi-country e-commerce map
Generate a set of multi-country market e-commerce maps for the same skin care product LUMIÈRE LAB Hyaluronic Acid Repair Essence, corresponding to the four market versions of China, the United States, Japan, and South K…
Prompt
Generate a set of multi-country market e-commerce maps for the same skin care product LUMIÈRE LAB Hyaluronic Acid Repair Essence, corresponding to the four market versions of China, the United States, Japan, and South Korea. Requirements: The product itself remains consistent, the brand vision is unified, and the bottle design, material performance, functional positioning, and high-end feel remain unchanged; but each version is closer to the local mainstream e-commerce platform and consumer aesthetic habits in terms of language content, layout logic, information presentation method, and local atmosphere details. The whole thing needs to be like an official e-commerce visual package produced by an international skin care brand for different markets, rather than four independent posters with separate styles.
How to use this prompt
Read the complete Multi-country e-commerce map prompt and identify the subject, style, camera, lighting, and composition requirements before generating.
Replace bracketed or argument-style placeholders with your product, character, brand, scene, color palette, or aspect ratio requirements.
Open https://www.gptimagehub.com/generate?promptId=cmogxmziq00nfxt5gjmy7g5gf, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.
Prompt FAQ
What is the Multi-country e-commerce map prompt best used for?
This prompt is best used for product & e-commerce images where you want a reusable structure, detailed visual direction, and consistent output quality.
Can I edit the prompt before generating?
Yes. The full prompt text is visible on this page so you can change subjects, product names, colors, composition, camera terms, aspect ratio, and style notes before generation.
Which model should I use with this prompt?
Use the model shown in the prompt metadata as the default starting point. If another image model supports the same aspect ratio and instruction style, you can adapt the prompt and compare results.