Qwen-Image-Layered is a new model designed to break down images into multiple RGBA layers, allowing for precise manipulation. Each layer can be edited independently, enabling tasks like resizing, repositioning, and recoloring without affecting other content. This feature facilitates high-fidelity edits and maintains consistency across changes. The model is particularly useful for applications requiring detailed image editing, like graphic design or digital art. Recent updates include access to Qwen-Image-Layered on platforms like HuggingFace Spaces and ModelScope Studio, along with the release of model weights for use. Users must ensure they have compatible versions of transformers and install the latest diffusers package for proper functionality. The model operates effectively with text-conditioned inputs, although its text-to-multi-RGBA generation capabilities are limited. The model’s functionality extends beyond simple decomposition; it allows for recursive decomposition of layers, meaning any layer can be further broken down into additional layers. Users can edit specific layers through a web interface, enabling flexible alterations like changing colors or objects within a layer. For example, one can easily replace a character in an image or remove unwanted elements cleanly. The process also supports variable-layer decomposition, accommodating different project needs. Qwen-Image-Layered is open-source under the Apache 2.0 license. Those interested in using it are encouraged to cite the associated research paper for proper credit.