
Generated images
3Good Morning Card Frame-Breaking Aesthetics
GPT-image-2
Prompt
Usage guide
Minimalist App Event Page Visual Prompts: Directly Applicable for Social Media Covers
Use this template to stably generate minimalist, vintage App event page visuals, targeting self-media operators, UI designers, and content creators. The focus is on readable text hierarchies and minimalism, with a style leaning towards minimalist and retro. Compare your results with the preview to understand the final look, and then replace the theme, main subject, text, or ratio to generate your own new designs.
At a glance
- Model
- GPT-image-2
- Use cases
- Social media covers, App event pages, Newsletter headers
- Audience
- Self-media operators, UI designers, Content creators
- Problem solved
- Having theme text but not knowing how to make it into a memorable key visual
- Subject
- Text, city scenery, abstract background
- Core style
- Minimalist, vintage
- Aspect ratio
- Choose 1:1, 4:5, 16:9, or 9:16 based on the publishing platform
- Difficulty
- Medium, stable results are achieved by replacing defined variables first.
Variable replacement guide
| Variable | Suggestion | Example |
|---|---|---|
| City | Keep the style and composition of the original prompt, only modifying the key content. | Tokyo |
| Quote Author | Keep the style and composition of the original prompt, only modifying the key content. | Matsuo Basho |
Best use cases
A Japanese-style morning card design that combines local frame-breaking visual cues with minimalist typography aesthetics. The frame and text blend perfectly to present a fresh, tranquil urban morning atmosphere. It is ideal for social media covers, App event pages, and newsletter headers that require rapid finalization. The goal is to solve the pain point: 'having theme text but not knowing how to make it into a memorable key visual.' Lock the main subject and composition, then swap variables to let one template serve multiple topics.
Visual style
The tonal base of this design is minimalist and vintage. When reading the image, prioritize the relationship between the readable text hierarchy, minimalism, and the main visual elements (text, city scenery, abstract background); white space, hierarchy, and color serve this primary relationship. The result is more like a ready-to-use cover than a stylistic experiment.
How to generate a new image
- 1Copy the entire prompt, keeping descriptions of style, subject, composition, textures, lighting, and aspect ratio.
- 2Change the City and Quote Author variables first, leaving style and camera angle descriptions untouched.
- 3Generate 2-4 initial images using default settings in GPT-image-2 or your preferred generation tool, with aspect ratios adjusted to your publishing platform (1:1, 4:5, 16:9, or 9:16).
- 4Check against your target App event page visual: is the subject clear, are text levels readable, and are the colors and style close to the preview image?
- 5If it deviates from expectations, reduce background clutter first, then reinforce the core style words or adjust proportions, avoiding changing too many variables at once.
Prompt remix example
Before
City: Tokyo Quote Author: Matsuo Basho
After
City: Tokyo Quote Author: Matsuo Basho
With this modification, the image retains its minimalist style and compositional logic for App event page visuals, but the main subject, text, or aspect ratio changes for a new publishing scenario, making it suitable to immediately generate another usable image.
Full remixed prompt
Minimalist Japanese morning card typography design, the left side is a vertical slender rounded-corner picture frame, inside the frame is a train running in morning Tokyo, with the distant Tokyo Skytree visible in the background. On the right side is elegant text layout, containing 'Good Morning Tokyo', weather, travel advice, and today's quote by Matsuo Basho. Warm off-white background, adorned with delicate minimalist lines and pale green small leaf illustrations, the overall style is fresh, orderly, and serene. City: Tokyo Quote Author: Matsuo Basho
Model and parameter tips
- GPT-image-2:Excellent for text rendering and complex scene layouts. When generating App event page visuals, directly describe the main subject, aspect ratio, and usage scenario.
- Midjourney:Great for stylistic mood and compositional reference. You can append aspect ratio parameters, though text stability may vary.
- FLUX:Suited for clear subjects, photographic textures, and graphic layouts. Use natural language descriptions and minimize platform-specific command parameters.
How to improve weak results
- If the main subject is not prominent, write 'key visual centered', 'sharp outlines', or 'large areas of negative space'.
- If the style drifts, reinforce with 'minimalism', 'high-contrast hierarchy', or 'clear textures' instead of generic emotional words.
- If the layout gets cluttered, cut background details, edge notes, decorative signs, and subtitles, leaving only the most critical information layer.
- For garbled or messy text, shorten the copy and emphasize letter spacing, negative space, hierarchy, and legibility.
- If colors are off, specify the main color, background tone, contrast, and saturation directly.
- Adjust aspect ratios (1:1 / 4:5 / 16:9 / 9:16) based on the target platform and reduce the density of small text accordingly.
Frequently asked questions
Who are App event page visual prompts for?
Mainly self-media operators, UI designers, and content creators. If you have a topic but lack a reusable layout structure, you can directly adopt this composition and swap themes, subjects, or texts.
Which models are best suited for this prompt?
GPT-image-2 is preferred. When switching platforms, remove unsupported parameters and retain the subject, style, composition, materials, and ratio descriptions.
How do I choose the aspect ratio for social media covers?
Refer to publishing guidelines. Vertical covers look best in 4:5 or 9:16; web banners and horizontal posters in 16:9; profile avatars or square cards in 1:1.
What if the quality degrades after changing variables?
Change only one theme or subject variable at a time to keep the style, camera angle, and composition stable; adjust colors, proportions, and secondary texts once the first version stabilizes.
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