Qwen VLo is a unified multimodal model that both understands image content and generates high-quality images with semantic consistency.
It employs a progressive top-to-bottom, left-to-right generation process for enhanced visual quality and fine-grained control.
Users can provide open-ended natural language instructions for tasks like style transfer, scene reconstruction, complex edits, and traditional perception functions.
The model supports Chinese and English instructions, enabling a seamless experience for global users.
Qwen VLo handles dynamic resolutions and extreme aspect ratios, allowing versatile outputs for various formats.
It offers perception outputs such as segmentation maps, detection maps, and edge information via simple commands.
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