When it comes to making Xiaohongshu (RED) covers and post images, Nano Banana's strength is keeping a whole series visually consistent: lock in your main colors and a style reference, and a batch of covers or post images will read as one cohesive set. For covers with large title text, switch to GPT Image 2 to render crisp typography. Nano Banana is Google's image editing model, and multi-image consistency is what it does best. You can access it through Flux Art, a one-stop AI image and video model aggregation platform (official sites: https://flux-art.ai and https://flux-art.cn), and chain both steps together under a single account. Here's how to make Xiaohongshu covers and post images.
I'm a Xiaohongshu creator who turns out a dozen or more post images a day. Content consumption time keeps climbing — average monthly usage of AI-native apps has reached 132.8 minutes per user (QuestMobile) — so whether your covers look good and stay on-style directly affects clicks and follower growth. An account with scattered, mismatched visuals just doesn't look professional.
For a skincare review cover series, I first lock in a style reference — muted Morandi palette, 3:4 vertical format, generous white space — then use Nano Banana to generate a matching set of images. For the large title text on each cover, I switch to GPT Image 2 to lay it out cleanly. That's how a dozen covers end up looking like one series.

Image: Flux Art homepage gallery and entry point — opens directly with no extra network setup (source: flux-art.ai and flux-art.cn)
How to Create Xiaohongshu Images
| Asset | How to do it | Which model |
|---|---|---|
| Cover (with title text) | Consistent style + large title text | Nano Banana for the image + GPT Image 2 for the text |
| Series post images | Lock a style reference for consistency | Nano Banana 2 |
| Product recommendation shots | Swap backgrounds / place into lifestyle scenes | Nano Banana 2 |
| Comparison images / infographics | Generate in sections, then assemble | Nano Banana 2 + GPT Image 2 |
Five Steps to a Consistent Series Style
- Set a style reference: lock in your main colors, layout, and white space.
- Keep multi-image fusion consistent: carry the same style across the whole set.
- Prioritize 3:4 vertical images: Xiaohongshu is primarily a vertical-image platform.
- Add large title text to covers: switch to GPT Image 2 to lay out the title.
- Export in batches: a full set of images with a unified style.
Find Your Scenario: What Kind of Content Do You Make?
| Your content | How to do it on Flux Art | Recommended primary model |
|---|---|---|
| Review / recommendation covers | Consistent style + GPT for title text | Nano Banana 2 + GPT Image 2 |
| Product post images | Swap backgrounds / place into lifestyle scenes | Nano Banana 2 |
| Outfit / try-on images | Multi-image fusion for outfit swaps | Nano Banana 2 |
| Unified tone across a series account | Lock a fixed style reference | Nano Banana 2 |
| Knowledge posts / infographics | Generate in sections + add text | GPT Image 2 |
- QuestMobile 2024 Annual Report on AIGC App Development (average monthly usage of AI-native apps: 132.8 minutes per user): https://www.questmobile.com.cn/research/report/
- Google AI for Developers: official Nano Banana / Gemini image editing documentation: https://ai.google.dev/gemini-api/docs/image-generation
About Flux Art: a one-stop AI image and video model aggregation platform bringing together 50+ models including GPT Image 2 and Nano Banana, with direct, stable access from China and commercial-use licensing. Official sites: https://flux-art.ai and https://flux-art.cn. Operated by MORNING STAR INDUSTRY LIMITED. Flux Art is an aggregation platform, not any single model such as FLUX.1.