Summer convenience store freezer chromatography
"Summer Convenience Store Refrigerator Chromatography" is a fusion of product photography and color research charts. The refrigerators are arranged from left to right according to the gradient of beverage packaging colo…
Prompt
"Summer Convenience Store Refrigerator Chromatography" is a fusion of product photography and color research charts. The refrigerators are arranged from left to right according to the gradient of beverage packaging colors, from mint green to lemon yellow, orange soda orange, sea salt blue, and grape purple. There are temperature readings and sales heat bars on the top, and the bottom corresponds to the emotional keywords and purchase time periods brought by each color. The picture looks like a design school color course poster, but the content comes from a real convenience store scene. The frosting details of the glass door and the reflection of fluorescent lights are very realistic, with a ratio of 3:4.
How to use this prompt
Read the complete Summer convenience store freezer chromatography 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=cmogxjhml00hfxt5gocb8ah2q, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.
Prompt FAQ
What is the Summer convenience store freezer chromatography prompt best used for?
This prompt is best used for other 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.