Qwen Image Layered

Decompose an image into editable RGBA layers, then recolor, replace, or revise a single layer while keeping structure.

The prompt describes the full scene (including occluded parts); it does not control individual layers.

Model positioning

Qwen Image Layered: built for inherent editability

The model decomposes an image into multiple RGBA layers so you can edit with minimal drift.

Multi-layer RGBA decomposition

Split an image into independently editable layers.

High-fidelity edits

Move, scale, and recolor layers with strong visual fidelity.

Variable layer counts

Choose 1-10 layers depending on the scene complexity.

Recursive decomposition

Decompose a single layer again for complex compositions.

Qwen Image Layered prompt category examples (with official images)

Qwen Image Layered prompts stay scene-first: describe the whole image, then note the layer count or the change you will make after decomposition. These examples show how Qwen Image Layered stays stable when targets and constraints are explicit.

1) Layered decomposition

Template: full scene description + number of layers (e.g., 4). Add style or lighting so Qwen Image Layered preserves the look.

2) Recolor a layer

Template: describe the full scene, then recolor the target layer after decomposition. Specify the new color/material for predictable edits.

3) Replace an object

Template: describe the full scene + identify the layer to replace. Provide the replacement subject, size, and position to keep composition stable.

4) Revise text

Template: describe the full scene + revise the text layer. Quote exact wording and layout so Qwen Image Layered renders clean typography.

Best practices

Qwen Image Layered prompt best practices (results-focused)

Prompts describe the whole scene, not the meaning of each layer.

Practice 1: Describe the full scene

Prompts should capture the overall content, including occluded elements.

  • Do not try to control each layer's semantics
  • Describe subject, scene, and key elements clearly

Practice 2: Set a reasonable layer count

More layers give finer decomposition, but also add complexity.

  • Common range: 1-10 layers
  • Start at 4 layers, then adjust

Practice 3: Avoid heavy overlap

Overlapping objects and transparent materials can be hard to separate.

  • Avoid large overlaps
  • Glass/water transparency may mix layers

Practice 4: Layer order is not fixed

Layer order is decided by the model; identify target layers manually.

  • Use alpha coverage to find layers
  • Preview each layer before editing

Practice 5: Edit after decomposition

Use the layered output with an image editor to recolor, replace, or revise.

  • Edit only the target layer
  • Recompose to get the final image
Use cases

When is Qwen Image Layered a better fit?

Best for layered edits with strong consistency requirements.

Layered design and asset prep

Split complex visuals into editable layers.

  • Easier post-production
  • Cleaner structure

Targeted recolor or replacement

Adjust local elements without affecting the rest.

  • Apparel/material color swaps
  • Keep overall consistency

Text revision

Update text content or placement.

  • Poster or cover copy updates
  • Stable layout

Detail iteration

Iterate on local details without redoing the scene.

  • Faster versioning
  • Fewer full regenerations

FAQ

Qwen Image Layered FAQ

Common questions about Qwen Image Layered.





Get started

Split and edit your images with Qwen Image Layered

Decompose first, edit later, and keep consistency stable.

Official resources

References and sources

Model details and examples from official papers, repos, and docs.

GitHub: Qwen-Image-Layered

Model overview, examples, and usage.

arXiv paper: Qwen-Image-Layered

Layered decomposition methodology and details.

fal.ai Developer Guide

Layer counts, formats, runtime, and limits.

fal.ai model page

API parameters and examples.