Qwen-Image-2.0

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Overview

The Qwen-Image-2.0 series of accelerated models integrates image generation and image editing, offering enhanced text-rendering capabilities with support for 1,000-token prompts, more realistic textures, finely detailed photorealistic scenes, and improved semantic consistency. The accelerated version effectively strikes an optimal balance between model performance and quality.

Input

TextImage

Output

Image

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

Image Generation
$0.035Per image

Rate Limits

RPMRequests Per Minute
120

API Reference

Call API

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import json
import os
from dashscope import MultiModalConversation
import dashscope

dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

messages = [
    {
        "role": "user",
        "content": [
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/thtclx/input1.png"},
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/iclsnx/input2.png"},
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/gborgw/input3.png"},
            {"text": "Make the girl from Image 1 wear the black dress from Image 2 and sit in the pose from Image 3."}
        ]
    }
]

# If you have not configured the environment variable, replace the following line with your Model Studio API Key: api_key="sk-xxx"
api_key = os.getenv("DASHSCOPE_API_KEY")

response = MultiModalConversation.call(
    api_key=api_key,
    model="qwen-image-2.0",
    messages=messages,
    result_format='message',
    stream=False,
    n=2,
    watermark=True,
    negative_prompt=""
)

print(json.dumps(response, ensure_ascii=False))