Velokey

Qwen Image 2.0

阿里巴巴Image0.028 Credits / image≈$0.028Available
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Qwen-Image-2.0 combines generation and editing, supports long descriptions, and produces high-quality 2K results.

High-quality image generationAccurate CN/EN textReference image editingMulti-resolution output

Use cases

qwen-image-2.0 prototyping · qwen-image-2.0 production workflows

Input

Text or image

Output

Image

Billing

Per image

Model Type:
0/3

Sign up to get $0.5 in free credits — about 20 free images

Generate an image

Enter a prompt and click Generate

Qwen Image 2.0 examples

👆 Click on any example above to view full details, prompt, and parameters

Pricing details

Transparent usage-based pricing with no hidden fees.

Detailed Pricing

Usage-based pricing breakdown

SpecPriceOfficialSavings
qwen-image-2.0/image0.028 Credits≈$0.0280.035 Credits-20%

Billing Rules

  • Output price varies by model, resolution, quality, duration, or token usage.
  • Uploaded reference files may be charged separately when supported.
  • Add-on capabilities such as web search or image search may be billed per request.
  • Token-based models are billed by input and output tokens.
  • If the primary route is unavailable, Velokey may automatically switch to a stable fallback route when possible.
  • Usage is pay-as-you-go with transparent credit deduction.

* Final cost depends on the generated result.

Related models

Explore other models in the same family.

Affordable Qwen Image 2.0 API

Access Alibaba's Qwen Image 2.0 on Velokey — a unified image generation and editing model that renders clean, readable text, handles complex layouts, outputs native 2K photorealism, and edits with reference images. One API key, a unified endpoint, and below-list pricing, ready for production.

Meet Qwen Image 2.0 and its API access

Qwen Image 2.0 is Alibaba's unified image generation and editing model (model id: qwen-image-2-0). It uses a 7B architecture that combines an 8B Qwen3-VL encoder with a 7B diffusion decoder, so it can both generate images from text and edit or transform images from a reference. It renders readable, correctly spelled text in images and handles complex layouts with multiple text blocks, columns, and visual hierarchy (posters, infographics, slides, signs, and labels), with prompts up to 1,000 tokens. For photorealism it captures fine detail in skin, hair, textures, materials, and lighting at native 2K resolution (up to 2048x2048). Velokey offers an affordable, easy-to-integrate Qwen Image 2.0 API: a unified image endpoint, a single API key, and below-list pricing you can wire directly into creative production, content operations, and automated pipelines.

Text rendering and complex layouts

Renders clean, correctly spelled text in images and handles complex layouts with multiple text blocks, columns, and visual hierarchy — great for posters, infographics, slides, signs, and labels, with prompts up to 1,000 tokens.

View documentation →
Text rendering and complex layouts

Native 2K photorealism

Captures fine detail in skin, hair, textures, materials, and lighting at native 2K resolution (up to 2048x2048), ideal for high-quality visual assets.

View documentation →
Native 2K photorealism

Unified image editing

Pass a reference image plus a text prompt to edit, restyle, or transform — style transfer, object manipulation, lighting changes, and cross-domain edits. match_input_image keeps the output at the input resolution and aspect ratio.

View documentation →
Unified image editing

Encoder + diffusion decoder architecture

Combines an 8B Qwen3-VL encoder with a 7B diffusion decoder and supports flexible aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2) with consistent quality across generation and editing.

View documentation →
Encoder + diffusion decoder architecture

How to call the Qwen Image 2.0 API on Velokey

Start generating and editing images in a few steps.

1

Register and get an API key

Sign in to the Velokey console to generate an API key that authenticates every request to Qwen Image 2.0.

2

Configure the request

Set model to qwen-image-2-0 and submit a prompt and aspect_ratio. To edit, pass an image reference and use match_input_image to keep the input resolution and aspect ratio.

3

Generate or edit and get results

Send the request through Velokey's unified image endpoint to generate or edit images, and manage credits and usage from one console.

Real-world use cases for Qwen Image 2.0

From poster design to batch assets, covering many creative and production scenarios.

Poster and infographic design

Renders readable text and complex multi-block layouts for posters, infographics, slides, and labeled visuals.

Photorealistic product and portrait visuals

Native 2K resolution with fine material and lighting detail, ideal for product shots and lifelike visual assets.

Image editing and style transfer

Edit from a reference image with style transfer, object manipulation, lighting changes, and cross-domain edits to iterate fast.

Batch assets and content operations

Generate similar assets at scale with consistent parameters for e-commerce and content teams.

Signs, labels, and document visuals

Renders correctly spelled text in images, ideal for signs, labels, and document-style visuals with typography.

Automated visual pipelines

A unified endpoint and flexible aspect ratios make it easy to wire into automated generation and editing pipelines.

Why choose Velokey for Qwen Image 2.0

Below-list pricing

Call Qwen Image 2.0 at a lower price on Velokey with usage-based billing and no mandatory subscription, lowering upfront cost.

Unified API interface

One API key accesses Qwen Image 2.0 and other models, with no need to manage multiple accounts or keys.

Generation and editing in one

The same endpoint supports text-to-image and reference-image editing, covering style transfer, lighting, and cross-domain transforms.

Stable and highly available

Stable routing and high availability keep generation and editing workflows reliable in production.

API Reference

Complete API call examples and parameter descriptions

Endpoint

https://api.velokey.ai/v1/chat/completions

Authentication

Bearer YOUR_API_KEY

Request Example

curl https://api.velokey.ai/v1/chat/completions \
  -X POST \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-image-2.0",
    "prompt": "A premium product photo...",
    "size": "1024x1024",
    "quality": "high"
  }'

Response Example

{
  "id": "req_abc123",
  "model": "qwen-image-2.0",
  "created": 1234567890,
  "data": { ... }
}

qwen-image-2.0 API FAQ

What is the qwen-image-2.0 API?

qwen-image-2.0 is available through Velokey as a image model. Set model to qwen-image-2-0 and use the family-specific endpoint.

Which parameters does qwen-image-2.0 use?

The playground shows the main fields for qwen-image-2.0, including the model id and the most important generation parameters.

How is qwen-image-2.0 billed?

Pricing is shown on this page when available, and credits are managed from one Velokey account.

Who should use qwen-image-2.0?

It fits teams that want to test, compare, and ship AI capabilities through a unified API.

Start building with Qwen Image 2.0 today

Use one API key to access low-cost, stable AI models through Velokey.

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