GPT-image-2 Fisheye Lens Poster Aesthetics

At a glance

Model

GPT-image-2

Use cases

Xiaohongshu covers, event posters

Audience

Social media operators, graphic designers, portrait creators

Problem solved

Having a portrait theme but lacking a sufficiently high-end cover composition

Subject

Groups, portraits, animals

Core style

Minimalism, vintage

Aspect ratio

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

Difficulty

Beginner, keep the original prompt structure first and fine-tune the subject.

Variable replacement guide

Best use cases

An image generation style that combines a fisheye perspective lens with poster typography aesthetics. The subject is located in the central circular fisheye viewport, surrounded by modern, design-strong typography and a black background design, delivering high visual impact and a strong poster-like feel. It is highly suitable for Xiaohongshu covers, event posters, and other scenarios that require rapid finalization. The target users are social media operators, graphic designers, and portrait creators. Its core value is not stacking style words, but solving the problem of 'having a portrait theme but lacking a high-end cover composition': lock the subject and composition first, then replace the variable information, so that the same template can serve multiple topics.

Visual style

The stylistic tone of 'GPT-image-2 Fisheye Lens Poster Aesthetics' is minimalist and vintage. When viewing the image, focus first on the readable text hierarchies, character poses, and shot types, then look at the primary-secondary relationship among groups, portraits, animals, and background; negative space, hierarchy, and colors only serve this primary relationship. The final output is more like a finished product directly usable for Xiaohongshu covers or event posters, rather than just a stylistic experiment.

How to generate a new image

1. 1Copy the full 'GPT-image-2 Fisheye Lens Poster Aesthetics' prompt, retaining descriptions of style, subject, composition, material, lighting, and aspect ratio.
2. 2Change only the theme or subject first, keeping the style, material, and lighting descriptions as they are.
3. 3Generate 2-4 images with default parameters in GPT-image-2 or your preferred image tool. Refer to the aspect ratio choices of 1:1, 4:5, 16:9, or 9:16 based on your publishing scene.
4. 4Check against the target poster visual: is the subject clear, is the information hierarchy readable, and are the colors and style close to the sample image?
5. 5If it deviates from expectations, reduce background clutter first, then reinforce core style keywords or adjust the aspect ratio, avoiding changing too many variables at once.

Prompt remix example

Theme: GPT-image-2 Fisheye Lens Poster Aesthetics Aspect Ratio: Original Aspect Ratio

Theme: Urban Roaming Portrait Aspect Ratio: 4:5

With this modification, the image still retains the original style and composition logic of the poster visual, but the subject, text, or aspect ratio changes to fit the new publishing scene, making it highly suitable for directly generating another usable image.

fisheye lens effect, circular frame poster design, high-definition details Theme: Urban Roaming Portrait Aspect Ratio: 4:5

Model and parameter tips

• GPT-image-2：Excellent for understanding Chinese, text typography, and complex image relationships. When generating poster visuals, it is recommended to directly write out the subject, aspect ratio, and usage.
• Midjourney：Great for strengthening stylistic atmosphere and composition reference. You can append aspect ratio parameters, but stability for Chinese text might fluctuate.
• FLUX：Perfect for clear subjects, photographic textures, and graphic structures. Use natural language descriptions and minimize command parameters that the platform might not recognize.

How to improve weak results

• If the subject of 'GPT-image-2 Fisheye Lens Poster Aesthetics' is not prominent, write 'main visual centered', 'clear outline', 'large negative space', or directly name the core object of the poster visual.
• If the style drifts, adding 'core style', 'high contrast hierarchy', and 'explicit materials' is more effective than just adding emotional words.
• If the image is too cluttered, remove background elements, edge annotations, decorative symbols, and subtitles first, keeping only the most important layer of information.
• When portraits look like flat stickers: add realistic edges, natural shadows, skin details, and overlapping relationships between the subject and the foreground.
• If colors are incorrect, specify the main color, background color, brightness, and saturation, avoiding vague words like 'premium feel' or 'atmospheric feel'.
• If the platform aspect ratio is incorrect, change it to 1:1 / 4:5 / 16:9 / 9:16, and reduce the density of small text accordingly.