Get the latest tech news
Qwen VLo: From “Understanding” the World to “Depicting” It
QWEN CHAT DISCORD Introduction The evolution of multimodal large models is continually pushing the boundaries of what we believe technology can achieve. From the initial QwenVL to the latest Qwen2.5 VL, we have made progress in enhancing the model’s ability to understand image content. Today, we are excited to introduce a new model, Qwen VLo, a unified multimodal understanding and generation model. This newly upgraded model not only “understands” the world but also generates high-quality recreations based on that understanding, truly bridging the gap between perception and creation.
Qwen VLo is capable of directly generating images and modifying them by replacing backgrounds, adding subjects, performing style transfers, and even executing extensive modifications based on open-ended instructions, as well as handling detection and segmentation tasks. Qwen VLo can reinterpret and recreate based on its understanding, allowing for greater flexibility in style changes and migrations, such as transforming cartoons into realistic images or turning figures into balloons, among other creative outputs. For example, when designing advertisements or comic panels with extensive text, Qwen VLo generates content progressively, allowing users to observe and adjust the process in real-time for optimal creative results.
Or read this on Hacker News
