This set of prompt words is popular! Use structured JSON to let AI generate high-quality 3D Logo card images

Are you still using the crude prompt wording like "Generate a card with xxx logo"? Try this structured prompt wording, which will instantly make it ten times more advanced.

Recently, a new way of showing off has become popular in the AI ​​circle: using a prompt word to generate a high-end corporate logo card. For example, the following picture:

?  Tesla’s card-style logo display:

Doesn’t it look a bit like the opening credits of a movie? What’s even more surprising is that you can reproduce this effect with just one structured prompt!

1. Let’s first take a look at what this prompt word looks like (Tesla version)

{
"prompt" :  "A futuristic trading card with a dark, moody neon aesthetic and soft sci-fi lighting. The card features a semi-transparent, rounded rectangle with slightly muted glowing edges, appearing as if made of holographic glass. At the center is a large glowing logo of {{logo}}, with no additional text or label, illuminated with a smooth gradient of {{colors}}, but not overly bright. The reflections on the card surface should be subtle, with a slight glossy finish catching ambient light. The background is a dark carbon fiber texture or deep gradient with soft ambient glows bleeding into the edges. Add subtle light rays streaming down diagonally from the top, giving the scene a soft cinematic glow. Apply light motion blur to the edges and reflections to give the scene a sense of depth and energy, as if it's part of a high-end tech animation still. Below the card, include realistic floor reflections that mirror the neon edges and logo—slightly diffused for a grounded, futuristic look. Text elements are minimal and softly lit: top-left shows '{{ticker}}', top-right has a stylized signature, and the bottom displays '{{company_name}}' with a serial number '{{card_number}}', a revenue badge reading '{{revenue}}', and the year '{{year}}'. Typography should have a faint glow with slight blurring, and all elements should feel premium, elegant, and softly illuminated—like a high-end cyberpunk collectible card." ,
"style" : {
"lighting" :  "Neon glow, soft reflections" ,
"font" :  "Modern sans-serif, clean and minimal" ,
"layout" :  "Centered, structured like a digital collectible card" ,
"materials" :  "Glass, holographic plastic, glowing metal edges"
},
"parameters" : {
"logo" :  "Tesla logo" ,
"ticker" :  "TSLA" ,
"company_name" :  "Tesla Inc." ,
"card_number" :  "#0006" ,
"revenue" :  "$96.8B" ,
"year" :  "2025" ,
"colors" : [ "red" ,  "white" ,  "dark gray" ]
},
"medium" :  "3D render, high-resolution digital art" ,
"size" :  "1080px by 1080px"
}

You can easily generate cards for other brands by just changing a few fields. Here are the Xiaomi and Alibaba versions I generated using the same prompt words:

?  Xiaomi card image: ChatGPT does not have the Xiaomi logo, so I provided a picture of the Xiaomi logo, so its prompt words are as follows:

{
"prompt" :  "A futuristic trading card with a dark, moody neon aesthetic and soft sci-fi lighting. The card features a semi-transparent, rounded rectangle with slightly muted glowing edges, appearing as if made of holographic glass. At the center is a large glowing logo of {{logo}}, with no additional text or label, illuminated with a smooth gradient of {{colors}}, but not overly bright. The reflections on the card surface should be subtle, with a slight glossy finish catching ambient light. The background is a dark carbon fiber texture or deep gradient with soft ambient glows bleeding into the edges. Add subtle light rays streaming down diagonally from the top, giving the scene a soft cinematic glow. Apply light motion blur to the edges and reflections to give the scene a sense of depth and energy, as if it's part of a high-end tech animation still. Below the card, include realistic floor reflections that mirror the neon edges and logo—slightly diffused for a grounded, futuristic look. Text elements are minimal and softly lit: top-left shows '{{ticker}}', top-right has a stylized signature, and the bottom displays '{{company_name}}' with a serial number '{{card_number}}', a revenue badge reading '{{revenue}}', and the year '{{year}}'. Typography should have a faint glow with slight blurring, and all elements should feel premium, elegant, and softly illuminated—like a high-end cyberpunk collectible card." ,
"style" : {
"lighting" :  "Neon glow, soft reflections" ,
"font" :  "Modern sans-serif, clean and minimal" ,
"layout" :  "Centered, structured like a digital collectible card" ,
"materials" :  "Glass, holographic plastic, glowing metal edges"
},
"parameters" : {
"logo" :  "Xiaomi logo(attached image)" , 
"ticker" :  "MI" , 
"company_name" :  "Xiaomi Inc." , 
"card_number" :  "01810" , 
"revenue" :  "365.9 billion" , 
"year" :  "2024" , 
"colors" : [ "red" ,  "white" ,  "dark gray" ]
},
"medium" :  "3D render, high-resolution digital art" ,
"size" :  "1080px by 1080px"
}

?  Alibaba card image:

In the case of Alibaba, I changed the color. Actually, the angle can also be changed.

2. Why is this prompt effective? What is special about it?

1. Structured JSON input : Unlike traditional natural language prompts, this structured approach clearly tells the model: how to set the style (style), where to put the parameters (parameters), and what the output format is (medium and size). The model's understanding accuracy is higher and the output is more stable.

2. Strong control + high scalability : Want to change the brand? Change the parameters. Want to generate in batches? For loop to get it done. The entire prompt is like a template program, which is both sophisticated and programmable.

3. Rich visual details : The prompts use a lot of professional vocabulary to describe light, shadow, material, and composition, such as: "subtle glossy finish", "diagonally streaming light rays", "holographic glass"... Each sentence is to help the model build a specific visual world.

3. How to write such a prompt word? Three tips:

✅  Tip 1: Modular structure Split the prompt into three layers: basic description (prompt), style definition (style), parameter control (parameters). In this way, the model not only knows "what to do", but also "how to do it".

✅  Tip 2: The image language should be specific and rich. Describe the scene like writing a movie script: light, material, and lens language. For example, "slightly blurred reflection", "slanting light column at the top", "mirror reflection on the floor under the card", etc., will make the picture more three-dimensional.

✅  Tip 3: Don’t be afraid to control the details . You can write very detailed parameters, such as whether the color is RGB or the brand’s main color? Is the logo glowing? Is the card border sharp or rounded? The model now has a good understanding of these “detail parameters”. The more specific, the easier it is to achieve results.

4. How can this prompt word be expanded?

• ✅ Can make a complete set of corporate visual graphics (Logo+product+financial report cards)
• ✅ Can generate multiple styles (black and gold, steam wave, cyberpunk)
• ✅ Can be combined with product images to generate UI Mockup with Logo

You can even package it into a  prompt word generator tool , input the company name and parameters to automatically generate prompt word JSON!

Summarize

This type of structured prompt words is not just "good-looking", it represents a new trend in AI prompt engineering: from inspirational expression to modular programming.

Next time you see someone else’s cool logo, why not ask them: “Did you use structured words in your prompts?” ?