Qwen-Image-Layered Image-to-RGBA Layer Decomposition with Precise Control
Qwen-Image-Layered is a powerful image-to-RGBA layered decomposition model that transforms a single image into multiple clean, transparent RGBA layers. By physically isolating visual elements into independent layers, Qwen-Image-Layered enables flexible compositing, background separation, and highly consistent layer-based creative editing.
Decompose Your Image
Click to upload an image
JPG, PNG, WebP supported
Control how many RGBA layers to generate
Qwen-Image-LayeredShowcase
Sample 1
Sample 2
Sample 3
Key Features of Qwen-Image-Layered
Image-to-RGBA Layer Decomposition
Qwen-Image-Layered decomposes one image into multiple RGBA layers, each with its own transparency channel. This allows creators to work with isolated visual components instead of a single merged image.
Controllable Layer Count
With Qwen-Image-Layered, users can explicitly control the number of output layers using the num_layers parameter. Whether you need a simple 3-layer split or a complex multi-layer structure, the model adapts to your workflow.
Clean RGBA Outputs
Each layer generated by Qwen-Image-Layered is clean, well-separated, and ready for direct use in design tools, compositing pipelines, or downstream AI editing models.
Prompt-Guided Semantic Separation
Qwen-Image-Layered supports optional prompt conditioning. By describing the scene or objects, users can improve semantic grouping and achieve better separation in complex images.
Introduce Qwen-Image-Layered
We are excited to introduce Qwen-Image-Layered, a model capable of decomposing an image into multiple RGBA layers. This layered representation unlocks inherent editability: each layer can be independently manipulated without affecting other content. Meanwhile, such a layered representation naturally supports high-fidelity elementary operations-such as resizing, reposition, and recoloring. By physically isolating semantic or structural components into distinct layers, our approach enables high-fidelity and consistent editing.
Advantages of Qwen-Image-Layered
True Physical Layer Isolation
Qwen-Image-Layered ensures that edits on one layer never affect others, providing predictable and stable editing results.
High-Fidelity Elementary Operations
Because each component exists as an independent RGBA layer, Qwen-Image-Layered naturally supports resizing, repositioning, recoloring, deletion, and replacement without distortion or artifacts.
Flexible & Iterative Decomposition
Qwen-Image-Layered supports variable-layer decomposition. The same image can be decomposed into different numbers of layers depending on your needs. Moreover, any layer can be recursively decomposed again, enabling theoretically infinite decomposition.
Workflow-Friendly Design
Qwen-Image-Layered integrates seamlessly into creative pipelines, making it ideal for design iteration, asset cleanup, and scalable production workflows.
Qwen-Image-Layered Use Cases
Layer-Based Image Editing
Perform targeted edits—such as recoloring or replacing an object—while keeping all other layers untouched.
Background Separation & Subject Isolation
Use Qwen-Image-Layered to cleanly extract subjects with transparent backgrounds for reuse across designs.
Poster, Banner & Layout Design
Recompose visual elements freely on a canvas, adjusting size and position without quality loss.
Marketing & Social Media Assets
Rapidly prepare layered assets optimized for different formats and platforms.
Creative AI Pipelines
Combine Qwen-Image-Layered with downstream image editing models to build advanced, modular creative systems.
What Users Say About Qwen-Image-Layered
Trusted by designers, marketers, and creative professionals for layer-based image editing
"Qwen-Image-Layered has transformed my workflow. The RGBA layer decomposition is incredibly clean—I can isolate subjects with perfect transparency. The controllable layer count feature lets me adapt to any project complexity."
"The background separation is flawless. I can extract subjects with transparent backgrounds in seconds, which used to take hours of manual work. The layers are so well-separated that they're ready to use directly in design tools."
"We use Qwen-Image-Layered for all our marketing assets. The ability to recompose visual elements without quality loss is game-changing. It's perfect for creating variations for different platforms and formats."
"The layer-based editing capability is exactly what we needed. I can make targeted edits to specific objects while keeping everything else untouched. The prompt-guided separation makes complex images manageable."
"Qwen-Image-Layered enables true physical layer isolation. Edits on one layer never affect others, providing predictable results. The recursive decomposition feature opens up endless creative possibilities."
"The clean RGBA outputs integrate seamlessly into our creative pipeline. Each layer is production-ready, saving us significant post-processing time. It's become an essential tool for our team's workflow."