2025-09-10-魔搭社区API使用方法

• API 调用方法：https://modelscope.cn/docs/model-service/API-Inference/intro
• 文生图示例代码

import requests
import time
import json
from PIL import Image
from io import BytesIO

base_url = 'https://api-inference.modelscope.cn/'
api_key = "<MODELSCOPE_SDK_TOKEN>"

common_headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

response = requests.post(
    f"{base_url}v1/images/generations",
    headers={**common_headers, "X-ModelScope-Async-Mode": "true"},
    data=json.dumps({
        "model": "black-forest-labs/FLUX.1-Krea-dev",  # ModelScope Model-Id, required
        "prompt": "A golden cat"
    }, ensure_ascii=False).encode('utf-8')
)

response.raise_for_status()
task_id = response.json()["task_id"]

while True:
    result = requests.get(
        f"{base_url}v1/tasks/{task_id}",
        headers={**common_headers, "X-ModelScope-Task-Type": "image_generation"},
    )
    result.raise_for_status()
    data = result.json()

    if data["task_status"] == "SUCCEED":
        image = Image.open(BytesIO(requests.get(data["output_images"][0]).content))
        image.save("result_image.jpg")
        break
    elif data["task_status"] == "FAILED":
        print("Image Generation Failed.")
        break

    time.sleep(5)

• API KEY：https://modelscope.cn/my/myaccesstoken
• 模型：具体模型页
• Base URL: https://api-inference.modelscope.cn/