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qwen-image-edit-2509

qwen-image-edit-2509

Generate content through the unified API.

Pricing
From 0.3883 Credits / image(≈ $0.0019)
Output
Image
Added to catalog
Nov 1, 2026
Input
Examples
*
*
*

≈ $0.0019 · Runs per 1,000 Credits: ≈ 2,575

Estimate the cost first. Generation starts only after confirmation.

OutputFill example

Examples and templates

Load the original settings, then adjust them before generating.

Paper airship

Paper airship

A folded paper airship floating over a terracotta canyon, turquoise river below, watercolor travel-poster composition, no text. Acceptance 558.

README

Generate content through the unified API.

Model capabilities

Input modalities
Text
Output modalities
Image

Parameters

Fields accepted in the request body for this model.

prompttext
Required
Length: ≥ 1
resolutionenum
Required
Values: 1K
aspect_ratioenum
Required
Values: 1:1

Pricing

SpecificationCredits / image
  • 1K0.3883 Credits≈ $0.0019
    Official reference $0.0393% below official

Bill actual quantity · Rounding is applied once to the total cost

Official pricing source · Verified 2026-11-01

Prices are billed per unit consumed with no monthly minimum. See billing guide for Credits estimates and actual usage charges.

POST https://orux.top/api/v1/tasks

Frequently asked questions

About qwen-image-edit-2509 pricing, capabilities and API access on Orux AI.

What is qwen-image-edit-2509?

qwen-image-edit-2509: Generate content through the unified API.

How much does qwen-image-edit-2509 cost on Orux AI?

See the pricing section on this page for qwen-image-edit-2509 pricing and applicable conditions. Charges depend on the selected parameters and recorded usage.

What inputs and outputs does qwen-image-edit-2509 support?

qwen-image-edit-2509 accepts Text and returns Image.

Where can I access the qwen-image-edit-2509 API?

Create an Orux AI API key and send an authenticated POST request to https://orux.top/api/v1/tasks, using qwen-image-edit-2509 as the model identifier. This model uses asynchronous tasks: submit input, then poll the returned task ID for the result. Try the playground on this page and use the API example for the exact request format.