Complete tutorial on using AI to create Xiaohongshu cover images, 6-step process for 2026 hot-selling covers

A Complete Tutorial on Making Xiaohongshu Cover Images with AI: The 2026 Six-Step Flow for Viral Covers

Open Xiaohongshu, and one swipe of your finger is dozens of cover images. The one that makes you stop and tap in is often not the one with the best content, but the one with the most eye-catching cover. Xiaohongshu is a platform for looking at images, and the cover bears more than 80% of the click decision, with the title only a supporting role. Many bloggers painstakingly write two thousand words of solid content, only to get a few hundred views because the cover is unremarkable.

In 2026, Xiaohongshu's traffic distribution increasingly favors quick, punchy visual impact, and pure-text covers, blurry screenshots, and casually snapped product photos basically struggle to break through. Using AI drawing tools to make covers is no longer a bonus but an entry threshold. This article breaks the whole flow into six steps, from topic selection to export dimensions, explaining every pitfall you will hit, so you can follow along right after reading.

What Visual Elements Does a Xiaohongshu Cover Contain?

Before getting hands-on, first understand what a cover is actually made of, so you know what the AI needs to generate for you. A Xiaohongshu cover that gets high clicks usually contains five parts: the main image, the title copy, auxiliary elements, the whitespace structure, and the color tone. The main image determines the first impression and can be a person, product, scene, illustration, or abstract image. The title copy is the hook—the font should be large, the contrast strong, and the information specific enough. Auxiliary elements are small decorations like arrows, stickers, color blocks, and emoji, which serve to guide the eye. The whitespace structure refers to the image's breathing room; a cover crammed full of text is actually unreadable in the feed. The color tone unifies the overall vibe and is also an extension of the blogger's personal style.

Once you understand these five components, when you use AI to generate images, the prompt will not just say "Xiaohongshu cover" but will be precise to the level of "warm tone, person close-up, top-left whitespace for the title, blurred background, film grain."

Step One: Determine the Note's Direction and Target Audience

A cover is for people to see, so first be clear about who it is for. For the same outfit note, whether the target is students or young professionals makes the cover's vibe completely different. Students like bright, lively colors with a touch of sweetness, while a professional orientation leans toward sophisticated gray, low saturation, and restrained composition.

In practice, first write the note's core benefit point as one sentence, such as "commute outfits—five pieces of clothing styled into ten looks." Then write down the target audience's profile—age, city, spending power, and which bloggers they follow. These two pieces of information directly affect the vibe words, color words, and scene words in the later AI prompt. Skip this step and go straight to generating images, and eight times out of ten you get an awkward cover whose style does not match the content.

Step Two: Use AI to Generate Cover-Composition Inspiration

Many people get stuck at step two because they do not know what the cover should look like. The purpose of this step is not to directly produce the finished product but to let AI help broaden your thinking, generating a dozen-plus composition references, then picking the one closest to the note's temperament as the basis for the formal output.

The way to write the prompt is: note theme + main subject + shooting angle + light and atmosphere + color tone + composition whitespace direction. For example, for a café exploration note, the prompt can be written as "a close-up of a latte by a café window, 45-degree top-down shot, natural light coming in from the left, warm-orange tone, bottom-right whitespace, film texture, minimalist composition." Generate four images at once, pick the most satisfying one, and then fine-tune the details around it.

If none of the first round is satisfying, the prompt is most likely too generic. Add a specific word to each dimension rather than piling up adjectives. For example, "sophisticated" is less effective than "Morandi gray plus off-white color blocks"; the former is abstract, and the AI's version may be completely different from what you imagine.

Step Three: Choose the Right AI Drawing Tool

Choose the wrong tool, and all the prep before it is wasted. AI drawing tools on the market fall roughly into three categories. One is web-based overseas tools—powerful but with a poor Chinese experience, a high payment threshold, and often inaccessible due to network issues. The second is open platforms from major Chinese vendors—stable quality but with somewhat uniform styles, easily producing duplicate images in a scenario like Xiaohongshu that needs diverse covers. The third is phone-based aggregator apps that bundle multiple engines together, with Chinese interaction, suited to generating images anytime, anywhere.

For making Xiaohongshu covers, the third category is more recommended, because a blogger's workflow is mostly on the phone—topic selection, drafting, image generation, layout, and publishing are best done in one go. You can try Lingtu, downloadable by searching "Lingtu" directly in the China-region iOS App Store. It aggregates a Midjourney-style atmosphere engine, a Flux-style realistic engine, and a Nano Banana-style fast engine; switching among the three engines lets you balance atmosphere, realism, and generation speed. Chinese prompts need no translation, and it is smooth for common Xiaohongshu topics like outfits, food, home, and pets—worth a try.

Generating images on the phone has another advantage: inspiration you see can be tried immediately, without waiting to get back to the computer, so inspiration stays much fresher.

Step Four: How to Place Title Text for High Click-Through

No matter how good the AI image looks, place the text in the wrong spot and the click-through rate halves instantly. There are a few rules of thumb for Xiaohongshu cover text. First, the main title font should be large, taking up more than 60% of the cover width, so it is readable in the feed's thumbnail. Second, the main title should be at most two lines, no more than ten characters per line, with the information readable within half a second. Third, the main title color should form strong contrast with the background—dark text on a light background, light or high-saturation text on a dark background. Fourth, add a color block or outline to keywords, highlighting numbers, verbs, and pain-point words separately so they are caught at a glance.

For font choice, Xiaohongshu covers commonly use three categories: handwriting, bold sans-serif, and serif. Handwriting suits lifestyle-oriented, emotional, everyday-sharing content. Bold sans-serif suits solid-content, guide, and tutorial pieces—notes with high information density and a serious feel. Serif leans literary, retro, and quality-oriented, suiting reading, brand, and humanities content. A note's cover uses at most two fonts—one for the main title, one for the subtitle or decorative text—any more and it gets messy.

For text position, top-left, top-right, and bottom-center are the three highest-click-through areas, because the eye naturally lands on these positions after entering the image. Putting text directly over the main figure's face or the center of the product both blocks the visual focus and looks crowded.

Step Five: Color Matching and Brand Consistency

When scrolling Xiaohongshu, you will notice that you can recognize a top blogger's cover at a glance—not because of the content but because the color tone is consistent. This is the key to brand recognition. An account that uses the same color palette long-term lets followers know it is you without even reading the name.

In practice, decide your account's primary and secondary colors in advance. One or two primary colors appear on the large color blocks of every cover. Two or three secondary colors serve as accents and text colors. When generating images with AI, write the color words directly into the prompt, such as "primary color milk-coffee, secondary colors milk-white and dark brown, low saturation overall." After generation, if a particular image's colors drift, use the filter or color balance of an image editor to pull it back to the unified tone.

Do not change the color palette for every note; even if the content themes differ, the primary color should stay stable. This is the watershed for whether an account can be remembered, from zero to ten thousand followers to a hundred thousand.

Step Six: Export Dimensions—3:4 or 4:5?

The last step is export. Xiaohongshu images support multiple ratios, but the most common for covers are 3:4 and 4:5. The 3:4 size displays taller in the feed and takes up more screen area, so it has a natural click-through advantage. The 4:5 is a bit more square, suited to compositions like flat-lay product shots and half-body portraits. The 1:1 square image is not recommended except in special cases, as it looks small in the feed and loses out on exposure.

For resolution, the long edge should be at least 1500 pixels, and the export format can be JPG or PNG. JPG is small and loads fast, suited to most scenarios. PNG suits covers with large areas of solid color or text, with sharper edges after compression. Before exporting, check the image once for AI-generated flaws, such as extra fingers, distorted text, and misaligned contours; if there is a problem, go back to the AI tool to regenerate—do not settle.

Field Tests of Cover Formulas for Different Note Types

Cover formulas differ greatly by note type; here we expand on a few of the most common ones. For outfit-note covers there are two mainstream formulas: one is a grid flat-lay of individual items, suited to wardrobe-organization content with high information density; the other is a full-body shot worn by a real person, suited to look-type content with a strong vibe. AI image generation suits the latter better, because it avoids the hassle of shooting a real person.

For food-note covers, the top-down shot and the 45-degree angled shot are the two mainstream compositions. The top-down shot suits a "family portrait" of multiple dishes, rich in information. The 45-degree angled shot suits a close-up of a single item, with a three-dimensional, story-like feel. The plainer the background color, the better—a wooden table, solid-color tablecloth, and linen all photograph well.

Home-note covers need a sense of space; add words like "wide angle, depth of field, natural light coming in from the window" to the prompt, and the resulting image will have more on-scene feel. Avoid an overly full composition, as whitespace makes the home look larger.

For travel-note covers, a person's silhouette plus a grand landscape is a classic combination, full of emotion and immersion. If you do not want a real person to appear, pure scenery plus a Polaroid-style frame can also get decent clicks.

Common Misconceptions: The Busier the Cover, the Fewer the Clicks

Finally, a few common counterintuitive misconceptions. The first: the more information on the cover, the better. The fact is, your cover only gets noticed for half a second in the feed, and stuffing in too much text and too many elements actually makes the key point unreadable. A cover should bear only one core message—either the main title grabs people or the image's atmosphere grabs people, pick one.

The second misconception: copying viral covers. A viral hit went viral because of the topic at the time, the blogger's accumulation, and multiple factors of platform recommendation; directly copying the composition is most likely a clumsy imitation. What you should imitate is the underlying logic—such as contrast composition, emotional expression, and whitespace handling—not the surface elements.

The third misconception: over-relying on filters to make the image "sophisticated." Heavy filters lose detail, lower saturation, and look dim, which actually fails to catch the eye in the feed. Low-saturation sophistication has its applicable scenarios; it is not a cure-all.

The fourth misconception: pursuing fancy fonts. Artistic fonts, brush-calligraphy fonts, neon fonts, and 3D fonts all blur into a mess in the thumbnail. Bold sans-serif is always the safe option—simple, clear, and stable in click-through.

The fifth misconception: making only one cover and publishing right away. We recommend generating three to five candidate covers per note, coming back the next day to review them, and picking the one you have the strongest urge to tap into at first glance, rather than the one you are most satisfied with in the moment. In-the-moment judgment is easily hijacked by your own effort.

Frequently Asked Questions

Will an AI-generated cover get throttled by Xiaohongshu?

There is currently no evidence that Xiaohongshu reduces distribution just because a cover is AI-generated. The platform cares about content quality, engagement data, and authenticity; AI-generated images themselves are not the problem—the issue is whether the resulting image is relevant to the content and has informational value. If you use AI to generate a fake scene image completely unrelated to the content—such as a food note with an AI-generated fake restaurant photo—this kind of image-content mismatch may affect recommendation. Whether the cover is AI or a real shot, what the platform and users care about more is whether seeing the cover gives the urge to tap in, and whether the content delivers on the promise the cover makes.

Which is more convenient for making covers, phone or computer?

Each has advantages. The computer's advantage is a large screen, fine control, and fast batch processing, making complex-layout covers smoother. The phone's advantage is being usable anytime, anywhere and close to the publishing scenario—you can try inspiration the moment you see it, with a shorter workflow loop. For most bloggers, who update frequently and cannot spend too long per piece, the phone is actually the main tool. For commercial collaborations, brand-commissioned pieces, or high-spec covers needing fine work, doing the final adjustments on the computer is more reliable. Ordinary daily-update bloggers get the highest efficiency using a phone AI tool plus a simple image-editing app.

Can you make a viral cover even without design skills?

Absolutely. The essence of a Xiaohongshu cover is not a design contest but information delivery. Even with no design background, as long as you do the following four things, the cover will not be bad. First, write a clear main title—specific, with numbers, with a pain point. Second, make the main image relevant to the content with clear image quality. Third, use no more than three colors with a unified tone. Fourth, place text so it does not block the main subject and leaves enough whitespace. AI tools solve the hardest "drawing" step, and the remaining layout only needs to follow basic rules; practice a few covers and you will get the hang of it. A designer takes a cover to ninety points; an ordinary person reaching seventy points is enough to get decent exposure.

How do I choose the cover text font?

There are three mainstream safe fonts. Bold sans-serif is the all-purpose option, with the highest feed readability, suited to solid-content, guide, tutorial, and review pieces. Handwriting leans toward lifestyle, emotion, and the everyday, suited to everyday-oriented notes on outfits, food, pets, and travel. Serif leans literary, quality-oriented, and restrained, suited to reading, brand, humanities, and in-depth content. A cover uses at most two fonts—one for the main title, one for the subtitle or decorative text. Avoid overly fancy artistic fonts, brush-calligraphy fonts, and 3D fonts, which are unreadable in the thumbnail. For font sources, use free commercial-use fonts or buy a legitimate license to avoid later infringement risk.

Who owns the copyright of AI-generated images?

This question is still legally disputed at present, with rules differing by country and platform. Generally, most AI drawing tools' user agreements note that the user holds usage rights to the generated image and can use it for personal and commercial purposes. But the model's training data sources are complex, and if the generated image is highly similar to an existing work, it may still involve copyright disputes. In actual use, personal use, original blogger content illustration, and personal-account publishing are basically fine. For commercial advertising, brand materials, and print publishing, we recommend checking the specific terms of the tool you use beforehand, and doing secondary creation or manual modification when necessary to reduce risk.