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Alibaba: qwen-image-layered

Qwen-Image-Layered decomposes a static image into multiple RGBA layers, enabling independent editing of semantically distinct components without interfering with other parts of the image. This layered representation supports high-fidelity image editing tasks like resizing, repositioning, recoloring, and object manipulation with consistent detail and transparency handling.
Compare models
qwen-image-layered
AvailableAlibabaImageSync
Price
From $0.0275
Modalities
Image

Getting started

  1. Create API key

    Create a key in Console, then use it with every model on the platform.

  2. Send your first request

    Copy the example for your language and run it against the endpoint.

    Image editingTokenLab endpoint
    POST/v1/images/generations
    curl -X POST "https://api.tokenlab.sh/v1/images/generations" \
      -H "Authorization: Bearer sk-xxx" \
      -H "Content-Type: application/json" \
      -d '{
      "operation": "image-to-image",
      "model": "qwen-image-layered",
      "prompt": "A minimalist product photo of matte black headphones on a soft blue background.",
      "image_url": "https://example.com/source.png"
    }'

Pricing

Official price is the model maker's public baseline. TokenLab price is what you pay for this model on TokenLab.

Image editing

Per request
Official price
$0.0275
Official
$0.0275
Discount
-

Usage & activity

Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.

Usage & availability

Last 24 hours

No data yet

Model performance
Metrics appear once privacy and data volume thresholds are met.

Data is based on aggregate user requests, excluding status checks.

Open in Console

Open Qwen-Image-Layered in Console with a prompt ready to edit or send.

Help me create an image with qwen-image-layered using image-edit at /v1/images/edits. Show the result, cost, and any limits I should know.

Use cases

01

Product visuals

Make campaign images, catalog scenes, and design directions from a few prompts.

02

Iterative editing

Create edits and variations from an existing image.

03

Creative testing

Compare prompt results, output counts, and response formats.

04

Side-by-side test

Compare response quality, latency, and price side by side.

Prompt examples

Generate a clean product shot of matte black headphones on a soft blue gradient.

Edit the source image into a premium ecommerce hero with natural shadows.

Give me three visual directions for a developer-tool launch banner.

FAQ

How much does Qwen-Image-Layered cost?

On TokenLab, Qwen-Image-Layered costs $0.0275 Per request. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

What is Qwen-Image-Layered best for?

Qwen-Image-Layered supports Image Edit. You can open it directly in Create.

How do I test Qwen-Image-Layered?

Open Qwen-Image-Layered in Create. A sample for /v1/images/generations will be ready to try.

Which endpoint should Qwen-Image-Layered use?

Use https://api.tokenlab.sh/v1/images/edits for Qwen-Image-Layered. The request example below shows the matching code shape.

Can I test Qwen-Image-Layered before integrating it?

Yes. Open Console starts a ready draft for Qwen-Image-Layered and keeps your prompt after sign-in, so you don’t lose context.

Which operations does Qwen-Image-Layered support?

Qwen-Image-Layered supports Image editing. Select an operation above to see its endpoint and request example.

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