IT Home On October 11, Qianwen AI Platform announced that Qwen-Image-2.1 Pro and Turbo API have been officially launched on the platform. Developers can use the API to integrate image generation and editing capabilities into applications. Without having to deploy models or manage inference environments themselves, they can build their workflows for scenarios such as design, e-commerce, and content creation. At the same time, the weights of the Qwen-Image-2.1-Turbo model are now open for access.
Now, users can view the model information and integration guidelines for Qwen-Image-2.1 Pro and Turbo on the Qianwen AI platform, and choose, test, and integrate them according to business needs.
For creative tools, APIs can serve as an entry point from text concepts to visual presentations; for e-commerce and marketing applications, workflows can be organized around product materials, scene creation, and poster design; for the refinement and re-creation of existing images, content can be further adjusted through editing instructions. From generation to editing, developers can integrate these capabilities into their products, allowing users to complete creation within a familiar interface.
Qwen-Image-2.1 model supports up to 10 reference images, and allows precise editing of regions through selection, erasing, and independent masks. Meanwhile, version 2.1 enhances consistency in portrait and product editing: it better preserves facial identity features in portrait editing, and maintains text, textures, and shapes as much as possible in product editing. Additionally, Qwen-Image-2.1-Turbo supports 2K image generation and editing.
Qwen-Image-2.1-Turbo is a 7B visual generation architecture based on Qwen-Image-2.1, which reduces the denoising process for image generation and editing to 8 steps while retaining the 2K image creation capability.
After the API goes live, image generation and editing can be integrated into the tools that users are already using. Developers can connect material input, generation, preview, and modification based on specific requirements.
E-commerce and brand content: Create display materials based on product reference images and scene descriptions, then adjust the background, composition, and visual style according to the placement theme.
Marketing and Graphic Design: Explore poster concepts starting from event themes and copywriting, integrating text and visuals into the creation process, and then refining the details step by step.
Character and Outfit Creation: Combine characters and clothing reference materials to explore styling effects, and continuously adjust the look and scene through editing commands.
Content creation and visual storytelling: Focusing on character setups, plot descriptions, and existing visuals for creation, generating and editing are embedded in storyboards, infographics, and other content production processes.
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