
原始文档
GPT Image 2 · en
Using the provided reference image, redraw and upscale it into a cleaner, sharper, more polished version while preserving the same overall infographic layout, all original text content, and the Longjing tea theme. Keep the product title {argument name="tea name" default="龙井茶"} and the English subtitle {argument name="English tea name" default="Longjing Tea"} unchanged.
Goal: Make the image look less like a rough GPT-generated graphic by removing broken, noisy, meaningless textures and replacing them with crisp, intentional detail.
Enhancements to apply: Increase resolution and clarity; sharpen typography, icons, borders, tea leaves, glass, and card edges; make the lighting softer and more natural; improve material realism for the tea, cup, dried leaves, and ceramic dish; clean up any fuzzy or fragmented artifacts.
Meaningful detail additions: In the main hero panel, replace the vague pale background with a refined scenic tea plantation landscape of layered green terraces, misty mountains, and a wooden tabletop beneath the tea cup and plate. In the origin card, add a small matching tea-terrace landscape illustration at the bottom. Make the bottom green banner more vivid with a natural leaf-vein texture.
Layout constraints: Preserve exactly 7 visible content panels/sections: the large hero panel, origin card, features card, flavor card, brewing suggestion card, grade-and-picking card, and bottom slogan banner. Preserve exactly 4 feature rows in the features card, exactly 3 small icon benefits in the hero panel, and exactly 3 brewing parameter icons along the bottom of the brewing card. Do not add extra sections, extra labels, watermarks, logos, or decorative clutter.
Style: Elegant Chinese tea brochure design, cream-and-sage palette, refined minimal UI cards, soft shadows, crisp vector-like icons, realistic tea photography elements, calm premium product-advertising finish.使用方法
- 复制完整原始提示词,并保留其中的参数。
- 按需求替换主体、文字和构图要求。
- 在兼容的外部工具中使用,核对当前使用条件并检查结果。
开始前需了解
- 先确认是否需要参考图。标注兼容模型,不代表该示例由这个模型生成。
- 核对名称、数字与画面文字;不同模型版本的结果可能不同。





