AI Image Layer Separation

Upload any image and automatically decompose it into multiple RGBA transparent layers — foreground, background, and mid-ground elements — ready for Photoshop, Figma, and other design tools. No prompt needed.

AI Features

Text to Image

Auto Nano Banana Nano Banana Pro Flux 2 Pro Flux 2 Flex GPT Image 1 Z-Image

Image to Image

Auto Nano Banana Seedream V4.5 Nano Banana Pro Flux 2 Pro Flux 2 Flex Qwen Image Edit

Image Generator

Qwen Image Layered

Reference Image(0/9)

Number of Layers

Select the number of RGBA layers to generate

Output Format

Cost 8 creditsRemaining 0 credits

Image Preview

No Images Generated

Key Features

What makes Qwen Image Layering a powerful tool for automatic layer decomposition.

Automatic Layer Decomposition

AI analyzes your image and intelligently separates it into distinct layers — no manual masking or selection required.

RGBA Transparent Output

Every output layer includes a proper alpha channel, giving you clean transparent PNG files ready for compositing.

Adjustable Layer Count

Choose anywhere from 1 to 8 layers to control how finely the image gets decomposed into separate elements.

Smart Scene Understanding

The model recognizes foreground subjects, mid-ground objects, and background scenery to produce meaningful separations.

Design Tool Compatible

Output layers import directly into Photoshop, Figma, Sketch, After Effects, and other professional design software.

No Prompt Required

Simply upload your image and set the number of layers. The AI handles everything else automatically.

Tips for Best Results

How to get the cleanest layer separation from your uploaded images.

Use High-Resolution Images

Sharper source images give the AI more detail to work with, resulting in cleaner edges between separated layers.

Choose the Right Layer Count

Start with 3-4 layers for most images. Use more layers for complex scenes with many distinct depth planes.

Prefer Clear Subject Separation

Images where subjects are visually distinct from the background yield the most accurate layer decomposition.

Export as PNG for Transparency

Use PNG output format to preserve the alpha channel. WebP also supports transparency but has less design tool support.

Use Cases

Common design workflows where AI image layer separation saves hours of manual work.

Photoshop Compositing

Extract subjects and backgrounds as separate layers, then recombine them with new elements in Photoshop.

Design Asset Extraction

Pull individual elements from photos or illustrations to build reusable asset libraries for your design system.

Animation & Motion Graphics

Separate scene elements into layers for parallax scrolling, 2.5D animation, or After Effects compositions.

E-Commerce Product Editing

Isolate products from their backgrounds to place them on clean white or custom-styled backdrops.

FAQ

Common questions about AI image layer separation with Qwen Image Layering.