Brand text rendering
Qwen Image
Prompt: A beautiful Chinese woman wearing a “RenderFlow AI” logo T-shirt is smiling at the camera with a black marker. Behind her, a glass panel reads in handwriting, “Meet Qwen Image - a powerful image”.
Qwen Image Generator
A strong choice for bilingual creative work, layout-aware prompts, and readable design details.
Your generated image will appear here.
Enter a prompt and click 'Generate Image' — or start from an example:
Examples
Qwen Image examples from real prompts
Explore Qwen Image outputs for brand text, editorial layouts, badges, menus, and structured graphics.
Magazine cover layout
Qwen Image
Prompt: A minimalist design magazine cover with a dancer wrapped in translucent yellow fabric, a Swiss-inspired grid, and only the masthead “GRID”.
Badge design
Qwen Image
Prompt: A vintage circular national park badge with a bear, pine trees, mountain peaks, and the exact text “CEDAR RIDGE” and “EST. 1974”.
Menu layout
Qwen Image
Prompt: An artisan café chalkboard titled “MORNING MENU”, using six simple food and drink icons in a balanced two-column layout beneath a warm pendant lamp.
Exploded-view graphic
Qwen Image
Prompt: An isometric exploded-view graphic of a pour-over coffee setup with a dripper, filter, grounds, glass carafe, and cup connected by guide lines.
Multi-line text scene
Qwen Image
Prompt: Bookstore window display with a sign reading “New Arrivals This Week”, a shelf tag reading “Best-Selling Novels Here”, an author meet-and-greet poster, and four named books arranged on the shelf.
Bilingual by design: what Qwen Image was trained to set
Most image models learn text as an afterthought, and it shows — letters wobble, words merge, and anything outside Latin script falls apart. Qwen Image was trained from the start on English and Chinese typography alike, so a single layout can carry a Chinese headline, an English subtitle, and a row of labeled icons without any of them collapsing into decoration.
That training makes it the practical choice for menus, badges, book covers, infographics, and any cross-market campaign where one design has to speak two languages. On RenderFlow AI it runs at 3 credits per image, with custom sizes from 512 to 2048 pixels and JPEG, PNG, or WebP output. Quote each required string, keep lines short, and name where they sit — the six examples above show what that discipline returns.
Frequently Asked Questions
Can Qwen Image really render Chinese and English text in the same image?
Yes — this is the model's signature skill. Qwen Image was trained on both scripts, so a layout can carry a Chinese headline with an English subtitle (or the reverse) without either degrading into gibberish. Mixed-language posters, menus, and packaging are exactly what it was built for.
What sizes and output formats does Qwen Image support on RenderFlow AI?
Width and height each range from 512 to 2048 pixels, and output can be JPEG, PNG, or WebP. A seed field is available when you need to reproduce a result while tweaking the prompt.
What kinds of designs is Qwen Image best at?
Layouts with required words: posters, restaurant menus, badges and patches, book and magazine covers, infographics, and storefront signage. Because the Qwen Image model plans text placement as part of the composition, multi-line scenes — like a shop window with several readable signs — come back coherent.
Qwen Image or GPT-Image-2 for text-heavy work?
Choose Qwen Image when the design is bilingual or budget-sensitive — it typesets Chinese and English at a flat 3 credits. Choose GPT-Image-2 when you need its quality tiers, up to 4K resolution, or the strongest accuracy on long Latin-script copy. For a critical bilingual layout, test both with the same strings.
How do I keep the generated text accurate?
Put every required string in quotes, keep each line short, and say where it sits in the layout. Limit the number of separate text blocks — one poster with three lines of copy is far safer than a page of small print. Proofread the output; accuracy is excellent, not guaranteed.