Qwen-Image-Edit-Plus
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Overview
The Qianwen series of Image Editing Plus models features enhanced character consistency, industrial design capabilities, and geometric reasoning abilities compared to the snapshot as of October 30. Additionally, it integrates LoRA capabilities such as lighting effects and effectively mitigates offset issues. This version is based on a snapshot taken on December 15, 2025.
Input
Image
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 docsFunction Calling
Use function calling to connect large language models with external tools and systems.View docsCache
Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docsStructured Outputs
Structured Outputs help ensure the model returns a JSON string in the expected format.View docsPricing
- Image Generation$0.03Per image
Rate Limits
- RPMRequests Per Minute120
API Reference
Call APICopy success!
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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-edit-plus-2025-12-15",
messages=messages,
result_format='message',
stream=False,
watermark=True,
negative_prompt=""
)
print(json.dumps(response, ensure_ascii=False))