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Qwen Image 3.0 AI Image Generator

Generate text-rich images with structured layouts, readable labels, and multilingual content. Create from a prompt or upload an image for guided editing—all in one online workspace.

Generate text-rich images from detailed prompts.

Create structured, multi-section visual layouts.

Edit existing images with natural-language instructions.

About the model

What Is Qwen Image 3.0?

Qwen Image 3.0 is an AI image generation and editing model designed for text-rich visuals, structured layouts, and multi-section compositions. It can combine imagery, visible text, labels, and supporting information within a single visual.

Qwen Image 3.0

Visual composition workspace

Generate + Edit
Visible text
Layout
Multi-section visual
Text to Image
Image Editing

Core capabilities

Qwen Image 3.0 Features

Build information-dense visuals that combine structured layouts, visible text, multilingual content, and detailed imagery.

Up to 4.5K tokens

Structured, Content-Rich Layouts

Supports prompts up to 4.5K tokens, enabling detailed instructions for multi-section layouts such as newspapers, storyboards, worksheets, and presentation pages.

Text as small as 10px

Text Rendering and Fine Detail

Designed to render text as small as 10px while preserving fine visual details such as hair, skin texture, and material surfaces.

12 languages

Multilingual Visual Creation

Supports native text rendering across 12 languages for educational, editorial, web, gaming, and livestream-inspired visual concepts.

Results vary by prompt, layout, and settings. Review important text, translations, facts, and fine details before publishing.

Generated examples

Qwen Image 3.0 Image Generation Examples

Explore scientific visuals, educational diagrams, storyboards, manga pages, fashion guides, and creative scenes generated with Qwen Image 3.0.

Four-step workflow

How to Use Qwen Image 3.0

Follow these four steps to create a new image or edit an existing one with Qwen Image 3.0.

  1. Step 1

    Choose a Workflow

    Select Text to Image to create a new visual, or choose Image Editing and upload an existing image.

  2. Step 2

    Describe the Result

    Describe the subject, exact text, language, composition, visual style, and desired layout. Organize complex requests into clear sections.

  3. Step 3

    Generate the Result

    Submit your prompt. For editing tasks, describe the requested changes and the elements that should remain unchanged.

  4. Step 4

    Review and Download

    Review important text and visual details. Refine your prompt when needed, then download the result.

Prompt example

Structured educational poster

Create a vertical educational poster about the water cycle. Use four labeled stages: evaporation, condensation, precipitation, and collection. Place the title at the top, add short captions and directional arrows, and keep the layout clean and easy to scan.

Real-world workflows

Qwen Image 3.0 Use Cases

Explore practical Qwen Image 3.0 workflows for marketing, education, storytelling, product design, social content, and image editing.

For marketers, growth teams, and agencies

Marketing and Advertising

Create campaign posters, product launch graphics, event promotions, and advertising concepts with visible headlines.

Explore several campaign directions before committing design resources.

For educators, trainers, and learning teams

Education and Training

Generate worksheets, presentation slides, diagrams, and visual explainers with structured layouts and visible labels.

Turn complex lesson material into visual drafts that are easier to scan, review, and refine.

For filmmakers, writers, and creative teams

Storyboarding and Comics

Build connected panels for ads, short films, comics, and creative pitches from a written narrative.

Explore scene order, framing, character placement, and story rhythm before production.

For product designers and startup teams

UI and Product Design

Explore visual directions for websites, apps, dashboards, games, and livestream interfaces.

Compare visual-system ideas quickly. Generated interfaces are concepts, not functional production code.

For creators, social teams, and brands

Social Media Content

Create platform-specific visuals for announcements, branded posts, carousel concepts, and creator content.

Keep messaging and visual hierarchy aligned while exploring formats for different social channels.

For ecommerce teams, content teams, and designers

Content Updates and Asset Editing

Use an existing image to explore background changes, text updates, layout revisions, or a new visual direction.

Use the original asset as a reference while testing targeted revisions through written instructions.

Start with the workflow that fits your project

Generate a new image or edit an existing asset from a written prompt.

Try Qwen Image 3.0

Review before publishing

Qwen Image 3.0 Limitations

AI-generated images can contain visual, textual, or factual errors. Review important details, revise your prompt when needed, and independently verify high-stakes information before publishing.

Text and factual accuracy

Read every visible text element and verify information against a reliable source.

  • Spelling, names, dates, labels, and translations
  • Mathematical formulas and scientific information

Visual consistency

Inspect important subjects at full size and compare connected images or panels.

  • Hands, faces, proportions, and overlapping elements
  • Character, object, and environment continuity

Rights and high-stakes content

Confirm you have the necessary rights and independently review sensitive information.

  • Brands, copyrighted material, and recognizable people
  • Medical, legal, financial, scientific, or academic information

Frequently asked questions

Qwen Image 3.0 FAQ

Find answers about prompts, text rendering, image editing, pricing, and usage rights.

Qwen Image 3.0 is the third generation of the Qwen Image family. It is designed for image generation and editing workflows involving visible text, structured layouts, multilingual graphics, and multi-panel visual concepts.