Same model, hosted
The layer decomposition runs on our infrastructure. You get Qwen-Image-Layered quality output without installing ComfyUI, downloading weights, or owning a GPU.
원본
Layer 1Click or drag an image here
JPG, PNG, WebP
이미지를 여기에 놓거나 클릭해 업로드
Free previews split into 2 layers; any credit pack or plan unlocks up to 8.
Click or drag an image here
JPG, PNG, WebP
이미지를 여기에 놓거나 클릭해 업로드
Free previews split into 2 layers; any credit pack or plan unlocks up to 8.
Hosted model
Qwen-Image-Layered is an AI model that decomposes one flat image into semantically meaningful transparent layers — subject, background, props, shadows, and overlay regions. This page runs it as a hosted workflow: upload, choose a layer count, download.
The layer decomposition runs on our infrastructure. You get Qwen-Image-Layered quality output without installing ComfyUI, downloading weights, or owning a GPU.
Choose how deep the decomposition goes. Subject, background, shadow, text, and prop regions come back as separate transparent PNGs you can inspect before exporting.
Download every layer as a ZIP, one layered PSD for Photoshop or Photopea, or a PPTX where each layer sits on its own slide object.
Qwen Image Layered usually requires ComfyUI, a GPU, and model weights. ImageLayerSeparator hosts the same layer-separation workflow behind one upload box, so you get RGBA PNG layers or a layered PSD in about a minute.
Model output
Each requested layer is returned as a transparent PNG. Review the stack in the browser, then download a ZIP of all layers or one PSD document that opens in Photoshop and Photopea.

Input: JPG, PNG, or WebP

Output: RGBA PNG layers or PSD
01
Any JPG, PNG, or WebP works. Images with a clear subject and separated background produce the cleanest stacks.
02
The model decomposes the image into the requested number of RGBA layers — use fewer for simple graphics, more for dense scenes.
03
Preview each layer, then export a ZIP of transparent PNGs or a single layered PSD document.
Who this helps
If you found Qwen-Image-Layered on Hugging Face or GitHub and just want the layers — for a client PSD, a VTuber rig, a product listing, or a parallax edit — this page skips the installation entirely.
Get model-quality layer separation from the browser when you do not want to manage nodes, weights, and GPU drivers.
Split character art into hair, face, body, and prop layers as a starting point for rigging.
Turn a supplied flat image into a layered PSD instead of rebuilding the file by hand.
Separate foreground, subject, and background so each plane can move independently in video or animation tools.
Best fit
Each tool page has a different production intent, so the right page depends on output format, source image, and cleanup needs.
Use it for
Best when you want Qwen-Image-Layered output for one or a few images and do not want a local inference stack.
Avoid when
If you need custom nodes, LoRA mixing, or batch pipelines, running the weights locally in ComfyUI is the right choice instead.
Output focus
The result is a stack of RGBA PNGs or a layered PSD — meant for continued editing, not just a single cutout.
Model FAQ
It is an AI model in the Qwen-Image family that decomposes one flat image into multiple semantically meaningful transparent layers, such as subject, background, and props.
Not here. ImageLayerSeparator hosts the separation workflow, so you upload an image and download the layers without installing anything.
Free runs are a 2-layer preview; credit packs and subscriptions unlock up to 8 layers per image.
No. Background removal returns one cutout. Qwen Image Layered returns several editable regions — subject, background, shadows, and props — each as its own transparent layer.
Yes. Export the stack as a PSD and each layer arrives as a separate named layer; the PNG ZIP also imports cleanly into Photopea, Figma, or After Effects.