Xiaohongshu Card-Style Visual Poster

At a glance

Model

GPT-image-2

Use cases

Xiaohongshu covers, event posters, WeChat official account headers

Audience

Self-media operators, graphic designers, content creators

Problem solved

Having the theme text but not knowing how to turn it into a memorable key visual

Subject

Text, Abstraction

Core style

Retro

Aspect ratio

Choose 1:1, 4:5, 16:9, or 9:16 based on the publishing platform

Difficulty

Beginner - retain the original prompt structure first, then fine-tune the theme.

Variable replacement guide

Best use cases

A design poster template utilizing GPT-image-2 for Xiaohongshu-style multi-card layout display. The overall visual uses a red and black color contrast and strong perspective lines to showcase the efficiency of batch card generation. It is highly suitable for Xiaohongshu covers, event posters, and WeChat headers where quick turnarounds are required. The core value of this prompt is not simply stacking style keywords, but solving the common issue: 'having the theme text but not knowing how to turn it into a memorable key visual'. By locking the subject and composition first, you can then replace variable information to make the same template serve multiple topics.

Visual style

The fundamental style of the 'Xiaohongshu Card-Style Visual Poster' is retro. When reading the image, look first at the readable text hierarchy, materials, and textures, and then at the primary-secondary relationship between text, abstraction, and background. Negative space, hierarchy, and colors exist solely to serve this relationship. The final output feels like a finished product directly usable for Xiaohongshu covers, event posters, and headers, rather than a mere style experiment.

How to generate a new image

1. 1Copy the entire 'Xiaohongshu Card-Style Visual Poster' prompt, keeping descriptions of style, subject, composition, material, lighting, and aspect ratio.
2. 2Change only the theme or main subject first, while keeping the style, material, and lighting descriptions intact.
3. 3Generate 2-4 images using default parameters in GPT-image-2 or your preferred tool. For aspect ratios, refer to choices of 1:1, 4:5, 16:9, or 9:16 depending on your publishing platform.
4. 4Compare the output against the target poster visual: is the subject clear, is the information hierarchy readable, and are the colors and style close to the reference image?
5. 5If the output deviates from expectations, reduce background noise first, then reinforce core style terms or adjust the ratio, avoiding changing too many variables at once.

Prompt remix example

Theme: Xiaohongshu Card-Style Visual Poster Ratio: Original Ratio

Theme: New Product Launch Ratio: 4:5

With this modification, the image retains its original style and poster composition logic, but the subject, text, or aspect ratio changes to fit the new publishing scenario, making it ready for another practical application.

A highly impactful retro poster in red, black, and white. At the top, there is a giant red bold text with a hand-drawn texture that reads "GPT2 is so powerful!", accompanied by black text below: "Instead of making them one by one, why not generate the whole set at once!". In the center of the image is a perspective tunnel shrinking inward, with countless beautifully typeset cards lined up on both sides of the tunnel, displaying content such as "Life Record", "Today's Outfit", and "Self-Growth". The overall poster is full of retro, screen printing, and collage art textures, conveying a strong sense of visual speed and impact. Theme: New Product Launch Ratio: 4:5

Model and parameter tips

• GPT-image-2：Excellent for understanding Chinese text, layout, and complex graphic relations. When generating visual posters, it is recommended to write out the subject, aspect ratio, and intent clearly.
• Midjourney：Great for enhancing stylistic atmosphere and compositional reference. Aspect ratio parameters can be added, though stability of Chinese text generation may fluctuate.
• FLUX：Suited for clear subjects, photographic textures, and graphic structures. Use natural language descriptions and minimize platform-specific command parameters.

How to improve weak results

• If the main subject of the 'Xiaohongshu Card-Style Visual Poster' is not prominent enough, write 'centered key visual', 'clear outline', or 'large area of negative space', or directly specify the core object of the poster visual.
• When style drift occurs, adding 'core style', 'high-contrast hierarchy', or 'clear textures' is more effective than just adding emotional keywords.
• If the screen feels too cluttered, eliminate background elements, border annotations, decorative icons, and subtitles, keeping only the most important level of information.
• If the text is blurry or messy: shorten the text copy, emphasize letter spacing, negative space, hierarchy, and readability, and reduce decorative strokes if necessary.
• If colors are off, clearly specify primary colors, background colors, value, and saturation, instead of using abstract terms like 'premium feel' or 'atmospheric'.
• If the platform ratio is incorrect, change it to 1:1 / 4:5 / 16:9 / 9:16, and simultaneously reduce the density of small text.