Quality Breakthroughs with Big Model Architecture
The 20 billion parameter scale used in the bottom layer of Gen Qwen Image is the key support for its technical advantages. The parameter scale directly determines the model's semantic understanding depth and detail generation capability. In terms of technical implementation, the model adopts a multimodal diffusion Transformer architecture, fusing text and visual features through a cross-modal attention mechanism.
Specific performance includes: 1) detail generation ability can be accurate to hair texture and fabric folds; 2) support up to 2048 × 2048 pixel image output; 3) the ability to understand complex semantics such as 'sunlight through the leaves to form the Tyndall effect'. In comparison, the mainstream open source Stable Diffusion model is only 1 billion parameters in size, and the commercial version of Midjourney V5 is about 5 billion parameters. This jump in parameter size allows Qwen-Image to set a new technological benchmark in both image realism and artistic expression.
This answer comes from the articleGen Qwen Image: Free Online Image Generator for Accurate Text RenderingThe
