Velokey

Qwen Image 2.0 Pro

阿里巴巴Image0.06 Credits / image≈$0.06Available

Qwen Image 2.0 Pro is Alibaba's high-end unified image generation and editing model, tuned for realism, accurate text, and native 2K. Access it through Velokey's unified endpoint with below-list pricing.

Native 2K (up to 2048x2048)Correctly-spelled text & layoutsReference-image editingPrompts up to 1000 tokens

Use cases

Marketing assets & posters · Infographics & slide decks

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 Pro 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-pro/image0.06 Credits≈$0.060.075 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.

Affordable Qwen Image 2.0 Pro API

Access Alibaba's Qwen Image 2.0 Pro on Velokey — accurate text rendering, native 2K photorealism, and unified image editing, with a unified endpoint and below-list pricing for production apps.

Meet Qwen Image 2.0 Pro and its API access

Qwen Image 2.0 Pro is Alibaba's high-end variant of its unified image generation and editing model. It shares the Qwen Image 2.0 architecture — a 7B model combining an 8B Qwen3-VL encoder with a 7B diffusion decoder — but is tuned for stronger realism, more accurate text rendering, and better adherence to complex prompts. It is best for marketing assets and product visuals — anything where text must be spelled correctly and layouts must hold up. Velokey provides an affordable, easy-to-integrate Qwen Image 2.0 Pro API: a unified endpoint, a clear request flow, and below-list pricing for production design and marketing pipelines.

Accurate text rendering & complex layouts

Renders readable, correctly-spelled text and handles complex layouts with multiple text blocks, columns, and visual hierarchy — movie posters, infographics, slide decks, signs, and labels. Prompts up to 1,000 tokens.

View Documentation
Accurate text rendering & complex layouts

Photorealism at native 2K

Fine detail in skin, hair, textures, materials, and lighting, rendered natively up to 2048x2048 — sharp without upscaling.

View Documentation
Photorealism at native 2K

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 output at the input resolution and aspect ratio.

View Documentation
Unified image editing

Tuned for realism & complex-prompt adherence

Same architecture as Qwen Image 2.0 — an 8B Qwen3-VL encoder feeding a 7B diffusion decoder — but tuned for stronger realism, more accurate text, and better adherence to complex prompts.

View Documentation
Tuned for realism & complex-prompt adherence

How to deploy the Qwen Image 2.0 Pro API on Velokey

Get started with just a few steps.

1

Sign up and get an API Key

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

2

Configure request parameters

Set model to qwen-image-2-0-pro and provide a prompt. Optionally pass a reference image to edit, set aspect_ratio, negative_prompt, and match_input_image; enable_prompt_expansion is on by default.

3

Integrate and start calling

Send requests to Velokey's unified endpoint to generate or edit images at native 2K, with usage managed in one console.

Real-world use cases for Qwen Image 2.0 Pro

From marketing to product design, covering many text-heavy visual scenarios.

Marketing assets & posters

Accurate text rendering and complex layouts make it fit for marketing assets, posters, and signs where copy must be spelled correctly.

Infographics & slide decks

Handles multiple text blocks, columns, and visual hierarchy — fit for infographics and slide decks that hold up.

Product visuals & photography

Photorealistic detail at native 2K — fit for product visuals and lifelike imagery that stays sharp without upscaling.

Signs, labels & packaging

Readable, correctly-spelled text on signs, labels, and packaging mockups without manual retouching.

Style transfer & restyling

Pass a reference image to restyle or transform it — style transfer, object manipulation, lighting changes, and cross-domain edits.

Editorial & cover art

Native 2K photorealism with accurate typography — fit for editorial imagery and cover art with headings and captions.

Why choose Velokey for Qwen Image 2.0 Pro

Discount on list price

Call Qwen Image 2.0 Pro at a lower price on Velokey — pay-as-you-go with no forced subscription, reducing upfront cost.

Unified API interface

One API Key accesses Qwen Image 2.0 Pro and other models — no juggling multiple accounts and keys, simplifying integration.

Complete docs and parameters

Endpoint references and parameter details — prompt, image, match_input_image, aspect_ratio, negative_prompt, and seed — help you integrate quickly.

Stable and highly available

Automatic failover and stable fallback routes maintain availability when the primary route is down, keeping production reliable.

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-pro",
    "prompt": "A premium product photo...",
    "size": "1024x1024",
    "quality": "high"
  }'

Response Example

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

Qwen Image 2.0 Pro API FAQ

How is Pro different from Qwen Image 2.0?

It shares the same architecture — a 7B model combining an 8B Qwen3-VL encoder with a 7B diffusion decoder — but is tuned for stronger realism, more accurate text rendering, and better adherence to complex prompts.

Can it render readable text?

Yes. It renders readable, correctly-spelled text and handles complex layouts with multiple text blocks, columns, and visual hierarchy — fit for movie posters, infographics, slide decks, signs, and labels, with prompts up to 1,000 tokens.

What resolution does it output?

It produces photorealistic detail at native 2K, up to 2048x2048, sharp without upscaling. aspect_ratio supports 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, and 1:2 (default 1:1).

How does image editing work?

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

What parameters are supported?

prompt, image (optional reference), match_input_image, aspect_ratio, enable_prompt_expansion (on by default), negative_prompt, and seed.

Start building with Qwen Image 2.0 Pro today

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