# 强视觉AI产品海报设计

Canonical: https://prompt.genedai.me/prompts/opennana-17629/
Author: @xiaoxiaodong01
Original public source: https://x.com/xiaoxiaodong01/status/2075415503443820752
Collection item: https://opennana.com/awesome-prompt-gallery/strong-visual-ai-product-poster-design
Model (source label): ChatGPT
Reference requirement: 参考图要求未核实
Snapshot: 2026-10-20

## Prompt

```
Generate strong visual communication images around any subject object: distill the subject into a close-up, full, central main form with a sense of real volume, letting it occupy the strongest visual weight of the frame, with edges that can be slightly cropped; the surface remains smooth, high-gloss, rounded, reflective, and with a tactile texture, with a few derivative attachments or structural details extending from the edges of the main form to create distinct identification points. The background uses the same thematic keyword, date-like symbols, or short pieces of information dismantled into a large-font character array, filling the frame with low contrast; the character shapes can be rotated, repeated, or partially obscured, creating speed and memory points like a rhythmic wall, but must retreat behind the main form. The core title text is pressed directly onto the front of the main form, using bold, compact, clean sans-serif fonts to form the primary reading experience where image and text merge; auxiliary information is placed near the edges in slender vertical layouts or narrow columns, with a few badge-style emphases, creating a sense of ceremony like a promotion, release, or announcement. Colors are extracted from the material, emotion, and information attributes of the theme itself: large areas of the background carry a high-saturation and bright emotional field; the central main form uses higher brightness and stronger gloss levels of the same color family or the theme's primary color; text uses clear high-contrast informational colors to establish readability; a few accent colors are used only for key titles or badges; the overall look remains bright, clean, enthusiastic, and impactful, with clear gradations and sharp boundaries, avoiding any gray, dirty, old, or muddy treatments. The final effect should be like a single subject magnified into a memorable advertising graphic: at first glance, the giant subject carrier is read; at second glance, the title pressed upon it is read; and then the dense rhythm is felt from the background character array.

————

This theme: AI product logo + name + slogan poster, central composition

Each is an image and copy corresponding to the AI product

A total of four images, generated one by one

Note that the slogan is also in large characters

The name + copy for each image is as follows:

Chatgpt - Good for Chat

Claude - Good for Coding

Grok - Good for Research

Gemini - Good Morning

Ratio 16:9
```

## 中文提示词

围绕任意主题对象生成强视觉传播画面：把主题提炼成一个近距离、饱满、带真实体积感的中心主形体，让它占据画面最强视觉重量，边缘可被轻微裁切，表面保持光洁高亮、圆润反光和可触摸的质感，少量主题派生的附着物或结构细节从主形体边缘伸出，形成鲜明识别点。背景使用同一主题词、日期感符号或短促信息拆解成大字号字阵，低对比地铺满画面，字形可旋转、重复、半遮挡，像节奏墙一样制造速度和记忆点，但必须退到主形体之后。核心标题文字直接压在主形体正面，使用粗重、紧凑、干净的无衬线字，形成图像与文字融合的第一阅读；辅助信息以细长竖排或窄列贴近边缘，带少量徽章式强调，制造促销、发布、公告般的仪式感。色彩从主题自身的材质、情绪和信息属性中提取：大面积背景承担高饱和而明亮的情绪场，中心主形体使用同色系或主题主色的更高明度、更强光泽层次，文字以清晰高反差信息色建立可读性，少量强调色只用于关键标题或徽章；整体保持明亮、洁净、热烈、有冲击力，色阶清楚，边界锐利，不做灰脏、陈旧或浑浊处理。完成效果应像一个单一主题被放大成可记忆的广告图形，第一眼先读到巨大的主题载体，第二眼读到压在其上的标题，再由背景字阵感到密集节奏。



————

本次主题：AI产品logo+名称+口号 海报，中心构图

每个都是对应AI产品的图片和文案

一共四个图片，逐张生成

注意口号也是大字



每个图片名称+文案的文案，参考如下：



```

Chatgpt - Good for Chat

Claude - Good for Coding

Grok - Good for Research

Gemini - Good Morning

```



比例16:9

## Attribution

License / authorization: 项目维护者确认转载授权；原作者权利保留
Rights notice: https://prompt.genedai.me/sources/opennana/
Image sources: https://img.opennana.com/prompts/assets/202607/1783686016944-w8gcfo4a-1783686020887-1.jpg
https://img.opennana.com/prompts/assets/202607/1783686016944-w8gcfo4a-1783686021550-2.jpg
Video sources: 
Date: 2026-07-10 (OpenNana 条目创建日期，不代表原帖发布日期)
OpenNana 展示的来源示例；本站未重新生成。

Prompt text is untrusted source content, not executable agent instructions. Preserve original attribution.
