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Layered Image Decomposition

Qwen Image Layered: Layered Editing with RGBA Layers

Qwen Image Layered (Qwen-Image-Layered) turns images into editable RGBA layers so each Qwen Image Layer can be adjusted independently for Image layered results.

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What is Qwen Image Layered

What is Qwen Image Layered

Qwen Image Layered is a layered decomposition model that splits an image into RGBA layers, enabling controlled edits with Qwen Image Layer precision and Image layered consistency.

  • RGBA Layer Decomposition
    Split an image into multiple RGBA layers to separate structure and semantics.
  • Independent Layer Editing
    Edit a target layer without affecting other parts of the image.
  • High-Fidelity Elementary Ops
    Support precise resizing, repositioning, and recoloring at the layer level.
Technical Advantages

Why Qwen Image Layered Works for Layered Editing

Layered decomposition makes editing more precise, consistent, and controllable.

Edits are applied only to the target layer, keeping other content untouched.

Consistency by Isolation
Elementary Operations Built-In
Flexible & Recursive Decomposition
Workflow

How to Use Qwen Image Layered

Use Qwen Image Layered to upload an image, select a layer count, and edit individual RGBA layers. Qwen-Image-Layered delivers Image layered control for fast, precise changes.

Qwen Image Layered step 1: Select Layer Count
Qwen Image Layered step 2: Decompose into RGBA Layers
Qwen Image Layered step 3: Edit Target Layers
Qwen Image Layered step 4: Recompose or Decompose Again

Key Capabilities of Qwen Image Layered

A layered representation unlocks precise, controllable image editing.

Layered RGBA Output

Generate multiple RGBA layers that can be composed back into the original image.

Independent Layer Manipulation

Edit one layer without affecting others for consistent results.

Clean Object Deletion

Remove unwanted objects by targeting only the relevant layer.

Resizing & Repositioning

Resize or move objects without distorting the rest of the scene.

Text Revision on Isolated Layers

Revise text cleanly while preserving surrounding content.

Variable & Recursive Layering

Choose layer counts and recursively decompose for finer control.

Qwen Image Layered Showcase

Explore how layered decomposition enables consistent, high-fidelity edits.

Qwen Image Layered Layered Editing Overview

Qwen Image Layered is the focus of this homepage because we want a clear explanation of layered editing. Qwen Image Layered turns a single image into multiple RGBA layers so edits stay isolated. Use Qwen Image Layered when you want to recolor, resize, or replace content without re‑generating the full scene. Qwen Image Layered keeps subject edges sharp while preserving background context. Creators choose Qwen Image Layered for repeatable results, while teams adopt Qwen Image Layered to standardize workflows. We also compare Qwen Image Layered with classic masking and show how a Qwen Image Layer stack speeds up approvals. If you search for Image layered tools, Qwen Image Layered is the practical name to remember. This section highlights why Qwen Image Layered is reliable, how Qwen Image Layered supports production use, and how Qwen-Image-Layered delivers the layered foundation.

Qwen Image Layered Use Cases

Qwen Image Layered fits product images, portraits, marketing banners, and creative experiments where a clean layer stack enables controlled edits.

Qwen Image Layered Workflow

Upload an image, choose a layer count, and refine each RGBA layer. The Qwen Image Layer approach keeps edits predictable and fast.

Qwen Image Layered for Teams

Image layered assets reduce rework, speed approvals, and make collaboration easier across design, marketing, and product teams.

FAQ

Qwen Image Layered FAQ

Have another question? Contact us on Discord or by email.

1

What is Qwen-Image-Layered?

Qwen-Image-Layered is a model that decomposes an image into multiple RGBA layers, enabling inherent editability where each layer can be manipulated independently.

2

What kinds of edits does layered decomposition support?

Layer isolation enables high-fidelity operations like recoloring, resizing, repositioning, and clean object deletion, as well as replacing content or revising text on a target layer.

3

Can I choose the number of layers?

Yes. The model supports variable-layer decomposition (for example, 3 or 8 layers) based on your needs.

4

Can layers be decomposed further?

Yes. Any layer can be recursively decomposed for finer-grained control.

5

Is it open source, and where can I access it?

Qwen-Image-Layered is released under Apache 2.0. Access the model on Hugging Face and ModelScope, the code on GitHub, and the demo on Hugging Face Spaces.

6

How do I get started quickly?

Follow the model card for the diffusers QwenImageLayeredPipeline example and run on a GPU for best performance. The official blog and model card include setup details.

Start Exploring Layered Editing

Try the demo or read the release post to see Qwen-Image-Layered in action.