AI Image Layers guide
Qwen Image Layered Online: Separate Images into RGBA Layers
Use a browser-based Qwen Image Layered workflow to decompose a JPG, PNG, or WebP into multiple editable RGBA image layers.
Published Jul 22, 2026
Qwen Image Layered online
Run an image-to-RGBA-layers workflow in your browser.
Upload one source image, inspect the non-empty Qwen layer candidates, and export the useful transparent PNG files.
Best for: clear subjects, simple backgrounds, visible text or badges.
Export: $4.99/month for 30 Layer ZIP downloads.
Characters
The main subjects on a transparent canvas.
Use Qwen Image Layered without setting up a local workflow
Qwen Image Layered is designed to decompose one raster image into multiple RGBA layers. AI Image Layers provides a focused browser workflow around that capability: upload an image, wait for the model, inspect the non-empty transparent layers, and download the useful result as a Layer ZIP.
This page is for people who want to try an online image-layer workflow rather than install model weights, configure a GPU, build a ComfyUI graph, or write API integration code.
What happens after upload
- The service validates the image type and file size.
- The source image is submitted to the configured Qwen Image Layered inference endpoint.
- Empty or unusable layer results are filtered from the preview.
- You inspect the returned RGBA PNG layers in the browser.
- A successful export includes named PNG files, a manifest, and handoff notes.
Processing time depends on the model queue and image complexity. The interface reports whether a result came from live inference or local demo fallback, so placeholder files are not presented as real model output.
Qwen Image Layered versus background removal
A background remover usually creates one foreground cutout and one background relationship. A layered decomposition can propose several independent parts: background, subject, props, text-like marks, shadows, lighting, or additional scene elements.
Use background removal when you only need one transparent subject. Use layered decomposition when the composition needs several editable parts or depth planes.
Quality expectations
The model works from visible pixels. Heavy overlap, fine hair, glass, smoke, dense photography, and hidden areas can still require manual cleanup. Results should be judged layer by layer rather than assumed to recreate the original project file.
Related workflows
- Use the exported layers in Photoshop
- Split a PNG into editable layers
- Separate a Midjourney image
- Separate a ChatGPT-generated image
Frequently asked questions
Do I need a GPU or local installation?
No. This website runs the configured model workflow remotely and returns browser previews.
Are the outputs transparent?
The model returns RGBA layer candidates. Preview each result because transparency and separation quality vary with the source image.
Is this the official Qwen website?
No. AI Image Layers is an independent product workflow that uses the Qwen Image Layered model through a configured inference provider.