Qwen-Image - Tongyi Qianqian Launches Open Source Basic Model of Qwen-Image

What is Qwen-Image

Qwen-Image is an open source image generation base model released by Alibaba Tongyi Qianqian team. With 20 billion parameters, it adopts the Multimodal Diffusion Transformer Architecture (MMDiT), which integrates the three modules of multimodal comprehension, high-resolution coding, and diffusion modeling.Qwen-Image's core advantage lies in the powerful rendering of complex text and accurate image editing functions, which can generate Chinese and English text images containing multi-line layouts and fine details, and support a variety of operations, such as style migration, additions, deletions, and changes. operations such as style migration, additions, deletions and modifications. Qwen-Image has been ranked No. 1 in open source models in AI Arena's public evaluation, and has outstanding performance in Chinese text rendering.Qwen-Image is suitable for poster design, PPT production, brand marketing and other scenarios, and supports online experience and local deployment, which is available to users through platforms such as Hugging Face, ModelScope and so on.

Main features of Qwen-Image

• Image Generation
  • Multi-style generation: Can generate realistic, anime, cyberpunk, sci-fi, minimalist, retro, surreal, ink and dozens of other types of images.
  • Text Rendering: Can handle multi-line layouts, paragraph-level semantics and fine details, supports both Chinese and English, and enables complex multi-location graphic layouts.
• image editing
  • style migration: Convert images to a specific art style.
  • object manipulation: Insert and remove scene elements precisely.
  • Detail Enhancement: Optimize the local quality of the image.
  • copy editor: Modify the text embedded in the image.
  • attitude control: Adjusting character movement patterns.
• graphic understanding
  • Object Detection and Semantic Segmentation: Recognize and segment objects in an image.
  • Deep/Canny edge estimation: Perform depth estimation and edge detection.
  • New Perspective Synthesis: Generate images from different viewpoints.
  • Super-resolution reconstruction: Enhance image resolution.

Qwen-Image's project address

• GitHub repository:: https://github.com/QwenLM/Qwen-Image
• HuggingFace Model Library:: https://huggingface.co/Qwen/Qwen-Image
• Technical Papers:: https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/Qwen_Image.pdf
• Online Experience Demo:: https://huggingface.co/spaces/Qwen/Qwen-Image

How to use Qwen-Image

• Visit QwenChat: Access Qwen Chat Official website.
• Select Image Generation Function: In the QwenChat interface, find and select the "Image Generation" function.
• Enter text prompts: Enter a description of the image you want to generate in the text input box.
• Generating images: Click on the "Generate" button and Qwen-Image generates the image according to the text prompts.
• View and download generated images: The generated image is displayed on the interface and the user is able to view the generated effect and choose to download and save it locally.

Qwen-Image's Core Advantages

• Complex Text RenderingThe company's AI image generation system is designed to accurately render Chinese and English text with multi-line layouts, paragraph-level semantics, and fine details, filling a gap in the Chinese AI image generation field.
• Precision image editing: Supporting a variety of operations such as style migration, additions, deletions, detail enhancements, text editing, character gesture adjustments, etc., it can follow the user's instructions while maintaining the overall semantic coherence and visual details of the image.
• Powerful general-purpose image generation capabilities: Generate high-quality images in different artistic styles and themes, including photo-realistic, anime, painting, etc.

Qwen-Image Performance

• Ranked third overall and first for open source models in AI Arena public reviews.
• In benchmark tests such as CVTG-2K, Chinese text rendering significantly outperforms closed-source models such as GPT Image 1 and Seedream 3.0.
• In tests such as LongText-Bench, ChineseWord and TextCraft, its text rendering capability, especially Chinese text generation, is significantly better than existing models.

Application Scenarios of Qwen-Image

Qwen-Image's application scenarios include: poster design, which can be used for movie posters, product promotions, event promotions, etc. It can automatically lay out multi-layered text messages, support accurate rendering of brand logos, and generate a variety of art styles. E-commerce scenarios, generating product display diagrams, promotional posters, etc., to enhance visual appeal and promote sales. Social media content, quickly generate images adapted to the size of a variety of social media platforms, for microblogging graphics, friend circle sharing, etc., with eye-catching visual effects.