Qwen-Image-2.0-Pro-2026-06-22

Qwen-Image-2.0-Pro

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Image Generation

Overview

Image Generation

The Qwen-Image-2.0 series full-fledged model integrates image generation and editing; it boasts more professional text rendering capabilities with 1k token command support, more delicate and realistic textures, meticulous depiction of realistic scenes, and stronger semantic adherence. The full-fledged version possesses the strongest text rendering capabilities and realistic textures in the 2.0 series.

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

Web Search

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

feature.funeTuning

Pricing

Image Generation
$0.075Per image

Rate Limits

RPMRequests Per Minute
2

API Reference

Get API Key

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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-pro-2026-06-22",
    messages=messages,
    result_format='message',
    stream=False,
    n=2,
    watermark=True,
    negative_prompt=""
)

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