Qwen 2 Pro
Alibaba's unified image generation and editing model that excels at accurate text rendering, native 2K resolution output, and ranks #1 on AI Arena's blind human evaluation leaderboard.
Unified image generation and editing with 2K resolution
Qwen Image 2.0 Pro is an image generation and editing model developed by Alibaba's Qwen team and released in February 2026. It uses an 8B Qwen3-VL encoder paired with a 7B diffusion decoder to produce images natively at 2048×2048 resolution. A single model handles both text-to-image generation and image editing tasks, and it accepts prompts up to 1,000 tokens for detailed scene descriptions. It holds the number one position on AI Arena's blind human evaluation leaderboard for both text-to-image generation and image editing.
One of the model's defining characteristics is its ability to render accurately spelled, properly positioned text within generated images, making it suitable for infographics, presentation slides, movie posters, comics, and bilingual Chinese and English content. Its 7 billion parameter footprint is smaller than its predecessor, which used 20 billion parameters, enabling faster inference. The model is well suited for marketing teams, content creators, and designers who need production-ready visuals where accurate text rendering, high native resolution, or iterative editing workflows are priorities.
What Qwen 2 Pro supports
Text-to-Image Generation
Generates images from text prompts at native 2048×2048 resolution, accepting prompts up to 1,000 tokens for detailed layout and style descriptions.
Image Editing
Edits existing images using the same model used for generation, avoiding quality loss from chaining separate tools.
Accurate Text Rendering
Renders correctly spelled and properly positioned text inside generated images, supporting bilingual Chinese and English content without post-processing.
Native 2K Resolution
Outputs images natively at 2048×2048 pixels, rendering fine details such as skin texture and fabric weave during generation rather than via upscaling.
Seed-Based Reproducibility
Accepts a seed input to produce reproducible image outputs, enabling consistent results across repeated generation runs.
Long Prompt Support
Supports prompts up to 1,000 tokens, allowing complex descriptions of multiple visual elements, text content, and stylistic details in a single request.
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Get Started FreeCommon questions about Qwen 2 Pro
What is the context window for Qwen Image 2.0 Pro?
The model accepts prompts up to 1,000 tokens, which allows for detailed descriptions of layouts, text elements, and visual styles in a single request.
What resolution does Qwen Image 2.0 Pro output?
The model generates images natively at 2048×2048 pixels without relying on post-generation upscaling.
Can Qwen Image 2.0 Pro both generate and edit images?
Yes. A single model handles both text-to-image generation and image editing tasks, so no separate model is required for editing workflows.
What input types does Qwen Image 2.0 Pro accept?
The model accepts image URL arrays for reference images, numeric parameters for dimensions or settings, and a seed value for reproducible outputs.
When was Qwen Image 2.0 Pro released and who made it?
The model was released in February 2026 by Alibaba's Qwen team.
Documentation & links
Parameters & options
A specific value that is used to guide the 'randomness' of the generation.
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