qwen-image-2.1-pro · Qwen
Qwen-Image-2.1-Pro is a unified text-to-image generation and image-editing model in the Tongyi Qianwen (Qwen) series. Its visual generation component contains only 7 billion parameters (a 32-layer single-stream DiT), achieving a good balance between generation quality, inference efficiency, and versatility. This release includes four key improvements: - Compact and efficient: adopts a lightweight architecture that combines hybrid-granularity attention and prefix KV cache reuse to deliver high-quality image generation with low computational cost. - Native transparency support, unified generation and editing: can generate regular or transparent (RGBA) images from text, edit transparent layers, and extract subjects from photos—all handled by a single model. - Versatile editing: supports up to 10 reference images, allows specifying local edit regions via circular or freehand annotations or separate masks, and preserves identity features of people and products. - Photorealistic textures and refined aesthetics: improved typography, portrait lighting, and detail rendering for more visually appealing results.
Qwen-Image-2.1-Pro is a unified text-to-image generation and image-editing model in the Tongyi Qianwen (Qwen) series. Its visual generation component contains only 7 billion parameters (a 32-layer single-stream DiT), achieving a good balance between generation quality, inference efficiency, and versatility. This release includes four key improvements: - Compact and efficient: adopts a lightweight architecture that combines hybrid-granularity attention and prefix KV cache reuse to deliver high-quality image generation with low computational cost. - Native transparency support, unified generation and editing: can generate regular or transparent (RGBA) images from text, edit transparent layers, and extract subjects from photos—all handled by a single model. - Versatile editing: supports up to 10 reference images, allows specifying local edit regions via circular or freehand annotations or separate masks, and preserves identity features of people and products. - Photorealistic textures and refined aesthetics: improved typography, portrait lighting, and detail rendering for more visually appealing results.
On AIHubMix, Qwen Image 2.1 Pro costs $2 per million input tokens.
Qwen Image 2.1 Pro accepts text and image input.
Qwen Image 2.1 Pro is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to qwen-image-2.1-pro — no other code changes needed.
Qwen Image 2.1 Pro is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
Qwen Image 2.1 Pro was released on October 10, 2026 by Qwen.
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Use Qwen Image 2.1 Pro via the AIHubMix unified API — one interface for every major LLM.