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QWEN-Image-Layered — Image Edit AI Model

QWEN Layered splits one picture into stacked RGBA layers, background first, so a single object can be edited without disturbing anything behind it. Pull a layer out, edit it, push it back, recompose.

What it does

QWEN Layered splits one flat picture into stacked RGBA layers, background first, so a single object sits on its own transparent layer the way it would in Photoshop or Figma.

That is what makes a one-thing edit possible: pull a layer out with List-Extract, edit it with QWEN-Image-Edit, push it back with List-Inject and recompose with Layer-Compose, and everything you did not touch comes back unchanged. Three, four or eight layers, at 640 or 1024.

When to use it

  • Changing one object while the rest of the picture stays untouched
  • Moving, resizing or recolouring an object without repainting it
  • Editing a text block on its own layer, the artwork left alone
  • Deleting an object cleanly, with transparency already behind it
  • Decomposing a layer further, by feeding it back in on its own

Details

  • CategoryImage Edit
  • Year2025
  • LicenseApache-2.0

Compliance & Provenance

  • ProviderAlibaba (open weights) · Specialized
  • EU AI Act RiskLimited Risk
  • Art. 50 TransparencyRequired — AI-generated outputs are marked

Inputs & Outputs

ImageInputimage

Source image to decompose into layers

TextInputstringoptional

Optional prompt to guide the decomposition (leave empty to auto-decompose)

LayersOutputlist:image

Decomposed RGBA layers (background first)

Parameters

layersstringdefault 4options: 3, 4, 8

Number of layers to decompose into.

How many RGBA layers to split the image into: '3', '4' (default) or '8'. More layers separate finer elements but cost more time and can over-segment simple images.

resolutionstringdefault 640options: 640, 1024

Working resolution / quality (output aspect follows the input).

Working-resolution bucket — sets quality, NOT the exact output size (each layer's W×H is derived from the input image's aspect ratio at this area). '640' (default) is faster; '1024' gives higher detail at ~2.5× the time. Only these two values are valid.

stepsintegerdefault 50range 10–60

Diffusion steps (10-60)

Number of denoising steps. Default 50 — balanced. Lower (10-30) is faster but rougher layer separation; higher (50-60) is cleaner at linear time cost.

seedintegerdefault -1range -1–2147483647

Random seed (-1 = random)

Random seed for the diffusion sampler. -1 (default) randomizes every run. Pass any non-negative integer (0..2147483647) to make the decomposition deterministic and reproducible.

true_cfg_scalefloatdefault 4range 1–10advanced

CFG scale (1-10, 4.0 default).

Classifier-free guidance strength. Higher follows the prompt more strictly; lower stays closer to the source image. 4.0 (default) is balanced.

negative_promptstringdefault advanced

Negative prompt — what to avoid. Empty for none.

Tags

  • qwen
  • layered
  • decompose
  • layers
  • rgba
  • list

Alternatives in Image Edit

  • FireRed-1.1

    Natural-language image edit with strong identity consistency. 1-3 min.

  • LatentDiffusion (Object Removal)

    Mask-based object removal / inpainting. 10-30s.

  • Moebius (Object Removal)

    Mask-based object removal. Lighter and sharper than LatentDiffusion. 2-3s.

  • PowerPaint

    One mask, four jobs — remove, fill from a prompt, rebuild a border, or fill a shape.

  • QWEN-2511

    Edits images from a natural-language instruction. High quality, and heavy (1–3 min).

  • QWEN-Inpaint

    Prompt-driven mask inpaint — fills the masked area from your prompt, keeps the rest.

Resources

All AI models