Qwen-Image-Layered

Qwen-Image-Layered is a specialized tool that uses AI to decompose raster images into multiple transparent RGBA layers, enabling granular editing. Unlike traditional image editing that treats the whole image as a single flat canvas, this tool identifies distinct objects and separates them into individual layers with full alpha channels. You can then move, resize, delete, or reorder these layers without affecting the rest of the composition—eliminating the need for manual masking or lassoing. The tool supports recursive decomposition, where a resulting layer can be further broken down into sub-layers, and allows variable layer counts per run. It is designed for designers, artists, and developers who need to extract or isolate elements from existing images for reuse in compositions, UI design, or game asset creation. Its core differentiator is the automated, AI-driven layer extraction that produces clean, artifact-free layers comparable to manual work but in a fraction of the time. The tool is part of the Qwen ecosystem and leverages advanced vision models to understand and parse image content semantically.