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21:9 宽幅高调光画面,左侧柔光留白,右侧悬浮半透明玻璃知识面板与光带,虹彩分光下嵌有发光立体字 qwen-image-3.0,色调奶油暖白配冰蓝与腮红粉。

Alibaba

Qwen Image 3.0

qwen-image-3.0-pro/text-to-image

Alibaba's third-generation image generation and editing model, skilled at dense layout and multilingual text rendering under long prompts, and supports reference-image editing

Try qwen-image-3.0-pro/text-to-image

Input

Output

image
Fill in the parameters and run — results show up here.

Pricing

qwen-image-3.0-pro/text-to-image per image

Specifications Unit Price
1K $0.0497
2K $0.0993

Overview

Qwen Image 3.0 Pro is the text-to-image model in Alibaba's Qwen series, focused on production-grade images that carry real information: a single image can lay out dense content such as infographics, newspaper pages, interface concept drafts, and product grids, and render multilingual text with correct layout. It targets developers who need to reliably turn long prompts into usable visual assets, and suits batch image generation for design, content, e-commerce, and education applications.

Highlights

  • Long prompts support complex layouts — prompts can be up to 18,000 characters, enough to describe multi-block layouts, hierarchy, and the copy for each block.
  • Text and layout rendering are the focus — aimed at generating images with dense elements and text, reducing the rework of adding and typesetting text after generation.
  • Controllable parameters cover common generation needs — supports aspect ratio, 1K/2K resolution, png/jpeg formats, negative prompts, and seed-based reproducibility.

Capabilities

Long-text prompt generation: Pass a complete image description through the prompt field, supporting lengthy layout and element specifications; a single call produces the finished image directly, reducing step-by-step assembly.

Controlled resolution and aspect ratio: resolution can be 1K or 2K, and aspect_ratio covers 1:1, 3:2, 2:3, 4:3, 3:4, 16:9, 9:16, and 21:9, making it easy to generate the exact size for a given placement.

Automatic prompt enhancement and negative constraints: prompt_extend is enabled by default, automatically completing and refining the prompt; negative_prompt excludes content you do not want, improving generation stability.

Random seed reproducibility: A seed parameter is available; entering a seed from 0 to 2147483647 reproduces the same result, making parameter tuning comparisons and batch workflows stable.

Direct format output: output_format supports png and jpeg, letting you choose the file format directly for downstream use and skip extra transcoding steps.

Use Cases

  • Content teams: generate posters and layouts from long copy — Write headlines, body text, and layout requirements into the prompt to produce posters or newspaper-style pages containing text, ready for content publishing and operational materials.
  • Design developers: interface concept generation — Generate UI concept images and high-fidelity mockups in 16:9 or 9:16 as visual references for product reviews and front-end implementation.
  • E-commerce operations: product display image creation — Generate product grids and display images in 1:1 or 4:3, and use a fixed seed to batch-produce marketing assets with a consistent style.
  • Education: mixed text-and-image instructional materials — Use long prompts to describe the structure of knowledge points and generate explanatory images with text and graphics side by side for courseware and training materials.

Limitations and Selection Advice

The model is positioned for informational visual production; images are dense with elements and contain text, and it is not the first choice for purely aesthetic illustration or artistic creation. Prompts must clearly specify layout and copy, placing high demands on descriptive ability; complex multi-image reference composition is outside the scope of this pipeline (this pipeline is text-to-image only). Results are affected by layout density and language, so before formal batch generation you should validate with small samples and control stability using a fixed seed and negative prompts.

  • New model New model available: qwen-image-3.0-pro/text-to-image
  • New model qwen-image-3.0-pro image-to-image model now live
  • New model New model docs

Frequently asked questions

View all FAQs →
  • How many references does Qwen Image 3.0 Image to Image accept?

    It accepts 1 to 3 reference images. At least one is required in input.image_urls.

  • How does standard editing differ from Pro?

    Standard prioritizes lower cost and rapid iteration. Pro is better for exact text replacement, complex materials, and final layouts.

  • How are 1K, 2K, and reference images billed?

    1K and 2K use the same output tier, and each reference adds a fee. See the live page price for current amounts.

  • How do I reduce subject, layout, or text drift?

    Separate what should change from the subject, text, position, material, camera, and lighting that must remain fixed. Put exact replacement text in quotation marks.

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