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Create typography-led posters, editorial scenes, and product visuals with Chinese and English text, prompt extension, and 1K/2K output.

Provider: Alibaba

Category: image generation

Endpoint: /v1/tasks

Status: Available

Cost: See live page pricing

Example prompt: Cinematic wide-angle editorial photograph of a contemporary tea house on a rain-washed old street in Chengdu at blue hour, with the exact natural sign “山止川行” and “TEA & STORIES”, cinematic teal-and-amber lighting, 16:9

Back to Models

Qwen Image 3.0

by AlibabaImage

Create typography-led posters, editorial scenes, and product visuals with Chinese and English text, prompt extension, and 1K/2K output.

Pricing

Standard Usage

71 Credits/ image

Input

0 / 18000

More parameters

Generation settings

Choose the output image file format

0 / 500

Describe what should not appear in the result; Up to 500 characters

Generation preferences

Automatically improve the prompt for more complete generation

Advanced

For repeatable results · integer 0-2147483647
Estimated cost71 Credits / imageper image

Output

Ready for generation

Configure your parameters and click "Run" to see the output here.

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From product campaigns to detailed scenes

Browse real API results across different aspect ratios, complete prompts, and visual detail.

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About Qwen Image 3.0

Create typography-led posters, editorial scenes, and product visuals with Chinese and English text, prompt extension, and 1K/2K output.

The Playground and API use the same model ID: qwen-image-3.0/text-to-image. This endpoint accepts text prompts only; reference-image editing uses the separate Image-to-Image route.

Provider
Alibaba
Task
Text-to-Image
References
Not supported
Pricing
71 Credits / image

Model specifications

Explore reference limits, sizes, formats and quality settings for Qwen Image 3.0.

Reference images
Not supported
Output resolution
1K2K
Aspect ratios
1:116:99:164:33:4
Output formats
PNGJPEG
Prompt length
Up to 20,000 characters
Pricing
Per image: 71 Credits / image

Final cost depends on the output tier and input add-ons. Check the live page price and task record for the final charge.

How to use Qwen Image 3.0

Choose the destination and aspect ratio before composing subject, scene, material, light, and text.

Subject
Scene
Camera and light
01

Describe subject and scene

API Quickstart

Copy a minimal request below. See Docs for parameters, callbacks, task retrieval, and errors.

Endpoint
POST /v1/tasks
Model ID
qwen-image-3.0/text-to-image
cURL
curl -X POST "https://api.hiapi.ai/v1/tasks" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "qwen-image-3.0/text-to-image",
  "input": {
    "prompt": "A cinematic product campaign with sharp text",
    "aspect_ratio": "16:9",
    "resolution": "2K",
    "output_format": "png",
    "prompt_extend": true
  }
}'

The create request immediately returns a taskId; image generation continues asynchronously.

Read the full API documentation
Need to compare models and billing tiers?View live pricing for all models

Frequently asked questions

What is Qwen Image 3.0 best for?

Create typography-led posters, editorial scenes, and product visuals with Chinese and English text, prompt extension, and 1K/2K output.

Does Qwen Image 3.0 accept reference images?

No. This route is text-to-image only.

Which output settings are supported?

The page exposes 1K, 2K and 1:1, 16:9, 9:16, 4:3, 3:4; use the Playground contract for the final available set.

How is Qwen Image 3.0 billed?

Billing is per successful generated image. Resolution or quality differences, when present, are reflected by the live page price.

How do I call the Qwen Image 3.0 API?

POST an asynchronous task to /v1/tasks with model set to qwen-image-3.0/text-to-image and put generation fields inside input.

Start with the subject, environment, and visual goal, then add material, light, camera, and exact text.

Draft

1K

Final

2K

02

Choose output settings

Generate in 1K / 2K across 5 supported aspect ratios.

Playground
POST /v1/tasks
03

Validate before integration

Confirm the result in Playground, then reuse the same prompt and model ID in an asynchronous task.