Alibaba Cloud Model Studio:Qwen-Image-Edit API reference

Pass an image using a public URL

import json
import os
import dashscope
from dashscope import MultiModalConversation

# The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

# The model supports one to three input images.
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."}
        ]
    }
]

# The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
# 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")

# The model supports only single-turn conversations and reuses the multi-turn conversation API.
# qwen-image-edit-plus supports outputting 1 to 6 images. This example shows how to output 2 images.
response = MultiModalConversation.call(
    api_key=api_key,
    model="qwen-image-edit-plus",
    messages=messages,
    stream=False,
    n=2,
    watermark=False,
    negative_prompt=" "
)

if response.status_code == 200:
    # To view the full response, uncomment the following line.
    # print(json.dumps(response, ensure_ascii=False))
    for i, content in enumerate(response.output.choices[0].message.content):
        print(f"URL of output image {i+1}: {content['image']}")
else:
    print(f"HTTP status code: {response.status_code}")
    print(f"Error code: {response.code}")
    print(f"Error message: {response.message}")
    print("For more information, see the documentation: https://www.alibabacloud.com/help/en/model-studio/error-code")

Pass an image using Base64 encoding

import json
import os
import dashscope
from dashscope import MultiModalConversation
import base64
import mimetypes

# The following is the URL for the Singapore region. If you use a model in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'


# --- For Base64 encoding ---
# Format: data:{mime_type};base64,{base64_data}
def encode_file(file_path):
    mime_type, _ = mimetypes.guess_type(file_path)
    if not mime_type or not mime_type.startswith("image/"):
        raise ValueError("Unsupported or unrecognized image format")

    try:
        with open(file_path, "rb") as image_file:
            encoded_string = base64.b64encode(
                image_file.read()).decode('utf-8')
        return f"data:{mime_type};base64,{encoded_string}"
    except IOError as e:
        raise IOError(f"Error reading file: {file_path}, Error: {str(e)}")


# Get the Base64 encoding of the image.
# Call the encoding function. Replace "/path/to/your/image.png" with the path to your local image file. Otherwise, the code will not run.
image = encode_file("/path/to/your/image.png")

messages = [
    {
        "role": "user",
        "content": [
            {"image": image},
            {"text": "Generate an image that matches the depth map, following this description: A dilapidated red bicycle is parked on a muddy path with a dense primeval forest in the background."}
        ]
    }
]

# The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
# 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")


# The model supports only single-turn conversations and reuses the multi-turn conversation API.
# qwen-image-edit-plus supports outputting 1 to 6 images. This example shows how to output 2 images.
response = MultiModalConversation.call(
    api_key=api_key,
    model="qwen-image-edit-plus",
    messages=messages,
    stream=False,
    n=2,
    watermark=False,
    negative_prompt=" "
)

if response.status_code == 200:
    # To view the full response, uncomment the following line.
    # print(json.dumps(response, ensure_ascii=False))
    for i, content in enumerate(response.output.choices[0].message.content):
        print(f"URL of output image {i+1}: {content['image']}")
else:
    print(f"HTTP status code: {response.status_code}")
    print(f"Error code: {response.code}")
    print(f"Error message: {response.message}")
    print("For more information, see the documentation: https://www.alibabacloud.com/help/en/model-studio/error-code")

Download an image from a URL

# You need to install requests to download the image: pip install requests
import requests


def download_image(image_url, save_path='output.png'):
    try:
        response = requests.get(image_url, stream=True, timeout=300)  # Set timeout
        response.raise_for_status()  # Raise an exception if the HTTP status code is not 200.
        with open(save_path, 'wb') as f:
            for chunk in response.iter_content(chunk_size=8192):
                f.write(chunk)
        print(f"Image downloaded successfully to: {save_path}")

    except requests.exceptions.RequestException as e:
        print(f"Image download failed: {e}")


image_url = "https://dashscope-result-sz.oss-cn-shenzhen.aliyuncs.com/xxx.png?Expires=xxx"
download_image(image_url, save_path='output.png')

Singapore region

Beijing region