Layer decomposition

Qwen Image Layered API

Alibaba's open layer-decomposition model — splits one image into 2 to 10 editable RGBA layers.

Qwen Image Layered is an image layer decomposition model from Qwen, available on OttoPort's OpenAI-compatible API as the model ID qwen-image-layered at $0.028 / layer as of 2026-10-14.

Provider

Qwen

Price

$0.028 / layer

Model ID

qwen-image-layered

Type

image layer decomposition model

Editable layersCut-outs with alphaDesign handoff

Create with Qwen Image Layered

layers

Source image URLA public PNG or JPEG. This is the image that gets split.Caption (optional)

ExampleSelect to edit

Layers

Pricing

Qwen Image Layered API pricing

What OttoPort bills for Qwen Image Layered, and what that works out to per unit. Rates are read from the same catalog the gateway meters against, and were current on 2026-10-14.

Per layer	$0.028	each layer of the returned stack
A 4-layer split	$0.112	subject, text, decoration, background
A 10-layer split	$0.28	the most layers Qwen Image Layered returns

No subscription and no minimum — OttoPort bills prepaid credits against usage. See the full rate card.

Quickstart

Call Qwen Image Layered in three lines

Send "model": "qwen-image-layered" to POST https://ottoport.ai/api/v1/images/generations with an OttoPort key. No Qwen account, no waitlist, no separate SDK.

curl https://ottoport.ai/api/v1/images/generations \
  -H "Authorization: Bearer $OTTOPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-image-layered",
    "image_url": "https://example.com/poster.png",
    "num_layers": 4
  }'

import requests

resp = requests.post(
    "https://ottoport.ai/api/v1/images/generations",
    headers={"Authorization": "Bearer " + API_KEY},
    json={"model": "qwen-image-layered", "image_url": "https://example.com/poster.png",
    num_layers=4},
).json()

# One entry per RGBA layer, bottom of the stack first.
for item in resp["data"]:
    print(item["layer"]["index"], item["layer"].get("name"), item["url"])

const res = await fetch("https://ottoport.ai/api/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "qwen-image-layered",
    image_url: "https://example.com/poster.png",
  num_layers: 4
  }),
});

// One entry per RGBA layer, bottom of the stack first.
const { data } = await res.json();
for (const item of data) console.log(item.layer.index, item.layer.name, item.url);

Before you start

1. Create a key at /api-keys.
2. Top up credits — the smallest pack is $25.
3. Paste the request. It returns on the same request.

Full reference at /docs, or drive it from an agent with the MCP server and CLI.

Reference

Request parameters

The body POST https://ottoport.ai/api/v1/images/generations accepts for Qwen Image Layered.

Field	Type	Required	Notes
model	string	Yes	Always qwen-image-layered for Qwen Image Layered.
image_url	string	Yes	The image to split. One per request; every layer comes back as its own RGBA PNG in `data`, bottom of the stack first.
prompt	string	No	A caption of the image, to steer how it is separated. Not a generation prompt.
num_layers	integer	No	How many layers to split into, 2 to 10. Default 4. Each layer bills separately.
seed	integer	No	Reproducibility, where the model honours it.

Comparison

Qwen Image Layered direct vs through OttoPort

Qwen Image Layered is the same model either way — what changes is how many accounts, keys, and integrations you carry to reach it.

	Qwen direct	Via OttoPort
Accounts and keys	A Qwen account, plus one more for every other model you add	One OttoPort account and one key for the whole catalog
Request shape	Qwen's own SDK and response format	OpenAI-compatible — point baseURL at OttoPort and change the model string
Switching models	A new integration per provider	Replace qwen-image-layered with any other model ID in the catalog
Billing	A separate invoice and contract per provider	Prepaid credits, no subscription, one usage ledger
Provider outages	Your call fails	Configured backup routes are tried in order on provider failure

Give it a flat design or a product shot.

Text, subject and background come back as separate RGBA layers.

Ask for fewer layers to keep related parts grouped.

FAQ

Qwen Image Layered API questions

Cost, keys, and model IDs for Qwen Image Layered on OttoPort.

How much does the Qwen Image Layered API cost?

On OttoPort, Qwen Image Layered costs $0.028 / layer as of 2026-10-14. For scale, a 4-layer split: $0.112. Billing is prepaid usage with no subscription and no minimum, and the current rate is always published at ottoport.ai/pricing.

How do I get a Qwen Image Layered API key?

You do not need a Qwen key. Create an OttoPort account, generate a key at ottoport.ai/api-keys, and send it as "Authorization: Bearer <key>" to POST https://ottoport.ai/api/v1/images/generations with "model": "qwen-image-layered". The same key reaches every other model in the catalog.

What is the model ID for Qwen Image Layered?

The OttoPort model ID for Qwen Image Layered is qwen-image-layered. Pass it as the model field on POST https://ottoport.ai/api/v1/images/generations, or list it programmatically from GET https://ottoport.ai/api/v1/models.

What does Qwen Image Layered return?

One entry in data per RGBA layer, bottom of the stack first, each with a url and a layer object carrying its index. Send the source image as image_url on POST https://ottoport.ai/api/v1/images/generations; num_layers picks how many layers to split into, from 2 to 10. You are billed per layer returned, $0.028 / layer.

Do I need a Qwen account to use Qwen Image Layered?

No. OttoPort connects to Qwen on your behalf, so one OttoPort account covers Qwen Image Layered and every other model in the catalog — no per-provider contracts, keys, or invoices.

Alternatives

Other image generation models on the same API

Same endpoint, same key — swapping model is a one-string change from qwen-image-layered.

GPT Image 2.5 Flare API

OpenAI

$0.026 / image

GPT Image 2.5 API

OpenAI

$0.026 / image

GPT Image 2 API

OpenAI

$0.07 / image

Nano Banana 2 API

Google

$0.088 / image

Nano Banana 2 Lite API

Google

$0.044 / image

GPT Image 1.5 API

OpenAI

$0.044 / image

Browse the full catalog — every model with its provider and per-unit price.