Decompose Images into Layers with
Qwen Layered
Experience the next evolution of editing. Qwen Layered uses advanced AI to physically isolate semantic components into high-fidelity RGBA layers.
Qwen Layered Core
AI-Powered Image Decomposition Engine
Upload Source Image
JPG, PNG, WEBP (Max 10MB)
Awaiting Input Data...
Qwen Image Layered Capabilities
From e-commerce product separation to complex artistic composition. See how Qwen Image Layered creates physically isolated assets ready for production.
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What is Qwen Layered?
Qwen Layered is a next-generation image decomposition tool built upon the advanced Qwen Image Layered model. It is designed to intelligently deconstruct single flat images into separate, editable component layers.
Powered by Qwen Image Layered technology, it goes beyond simple masking. The AI understands the semantic structure of a scene, physically isolating subjects, mid-ground objects, and backgrounds into independent RGBA layers with perfect transparency.
This capabilities of Qwen Image Layered unlock "inherent editability," allowing you to move, resize, recolor, or delete specific visual elements without affecting the rest of the composition.
Semantic Decomposition
The AI identifies distinct objects (e.g., "Person", "Car", "Tree") rather than just colors, ensuring logical layer separation.
Recursive Layering
Need more detail? Qwen Layered can iteratively split a single layer (e.g., a "Person") into sub-layers like Hair, Face, and Clothing.
Clean Inpainting
When a foreground object is removed, the AI intelligently reconstructs the background behind it, eliminating "holes" in the image.
High-Fidelity RGBA
Output layers retain original quality with precise alpha channels, handling complex semi-transparent textures like glass or smoke.
250K+
Layers Processed
35k+
Happy Creators
< 5s
Avg. Decompose Time
4K
High-Res Ready
Why Qwen Layered?
Physical Semantic Isolation
Unlike standard background removers that simply mask pixels, Qwen Layered reconstructs the image into independent RGBA planes. This means you can move a foreground object, and the AI effectively "inpaints" or understands the separation, allowing for clean compositing without edge halos.
Recursive Decomposition
Need granularity? Qwen Image Layered isn't fixed to foreground/background. It recursively analyzes complex scenes to split hair from head, accessories from clothing, or text from banners, giving you total control over every element.
Non-Destructive Editing
By working with decomposed layers, your edits become non-destructive. Recolor a specific layer, resize a single character, or swap background elements while maintaining the lighting and integrity of other layers.
Workflow Integration
Master Qwen Layered in four simple steps.
Upload Data
Import any JPG/PNG. High resolution is recommended for optimal qwen layered segmentation.
Define Scope
Set layer count or use text prompts to guide the AI towards specific elements.
AI Processing
Our GPU cluster executes the Qwen Image Layered model to calculate alpha channels.
Export Assets
Download the individual RGBA layers as a ZIP or separate files for your editor.
User Feedback
"The edge detection in **Qwen Layered** is superior to any other tool I've tested. It handles complex, semi-transparent objects like glass and smoke incredibly well, creating perfectly isolated layers."
Sarah J.
Senior VFX Artist
"I use **Qwen Image Layered** daily to batch separate product shots for our catalog. What used to take 20 minutes of manual masking in Photoshop now takes 30 seconds with this AI."
David Chen
E-comm Manager
"The recursive decomposition in **Qwen Layered** gives me total control over the scene depth. It allows me to animate static images by easily separating the foreground from the background."
Elena R.
Motion Designer
Frequently Asked Questions
What distinguishes Qwen Layered from standard background removers?
While standard tools only mask the background, Qwen Layered decomposes the entire image into multiple depths (foreground, midground, background, objects), creating a fully editable stack of RGBA layers.
Is there a free trial for Qwen Image Layered?
Yes. New accounts receive complimentary credits to test the decomposition engine. For high-volume professional use, we offer flexible credit packages.
How does the 'Layer Count' setting work?
This parameter tells the AI how granular you want the split to be. Setting it to 'Auto' lets Qwen decide based on image complexity, while specific numbers force a set amount of output layers.
Can I use the output layers commercially?
Absolutely. Once you download the layers, you own the rights to the decomposed assets for use in your commercial projects, designs, or products.
What is the maximum resolution supported?
Currently, Qwen Layered supports input images up to 4K resolution (approx 10MB file size) to ensure fast processing times while maintaining professional quality.
Does it work on complex illustrations?
Yes, Qwen Image Layered performs exceptionally well on both photorealistic images and digital art/anime styles, accurately separating characters from complex backgrounds.
How are credits consumed?
Each decomposition operation costs a fixed amount of credits (typically 15). Credits are only deducted when a successful layer generation is completed.
What underlying AI model powers Qwen Layered?
Qwen Layered is built upon the advanced Qwen-Image-Layered model, a specialized evolution of the Qwen2-VL architecture.