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Qwen Open-Sources Qwen-Image-2.1, a Lightweight High-Performance Image Model
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On September 20, according to an announcement from Qwen Large Model, the company open-sourced Qwen-Image-2.1, an image model designed to balance generation quality, inference efficiency, and usage costs. The model integrates text-to-image generation and image editing within a single architecture, with the visual generation component containing only 7 billion parameters. It natively supports generating and editing transparent images. Key features include: a lightweight architecture that balances quality and computational cost; native transparency support for generating standard or transparent images and editing transparent layers; comprehensive editing capabilities with support for up to 10 reference images to enhance local editing and portrait/product fidelity; and improved text layout, character lighting and shadows, and detail rendering for more aesthetically pleasing results.
Source report
Jin10 Data, September 20 — According to the Qwen Large Model team, the open-source release of Qwen-Image-2.1 is now available. This image model is designed to balance generation quality, inference efficiency, and usage costs.
Qwen-Image-2.1 integrates both text-to-image generation and image editing within a single model. The visual generation component contains only 7 billion parameters and natively supports the generation and editing of transparent images.
Key Features
The update introduces four major improvements:
- Small model, strong performance, exceptional value
A lightweight model architecture combined with inference optimization strikes a balance between generation quality and computational cost.
- Native transparency, integrated creation and editing
Generate standard or transparent images based on prompts, with support for transparent layer editing and background removal.
- Comprehensive editing, multi-reference preservation
Supports up to 10 reference images, enhancing local editing, portrait and product fidelity, and covering a wide range of editing tasks.
- Realistic texture, elegant typography, and beautiful characters
Improved text layout, character lighting and shadows, and detail rendering make generated results more aesthetically pleasing.
(Source: Qwen Large Model)
Source
金十数据Neutral / independent