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qwen-image【数据与研究】Generate and edit images with Qwen Image 3 via Ace Data Cloud. Use for text-to-image, 1-3 reference-image editing, batch output, precise text rendering, or asynchronous image tasks.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use POST https://api.acedata.cloud/qwen-image/images for generation and editing.
| Model | Best for |
|---|---|
qwen-image-3.0 | Value, throughput, batch production |
qwen-image-3.0-pro | Complex layouts, small text, fine detail |
curl -X POST https://api.acedata.cloud/qwen-image/images \
-H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"model":"qwen-image-3.0","prompt":"A clean bilingual product poster","size":"1024*1024","n":1}'
{
"model": "qwen-image-3.0-pro",
"prompt": "Keep the subject and change the scene to a cinematic city at night",
"image_urls": ["https://cdn.acedata.cloud/r9vsv9.png"],
"size": "2048*2048",
"n": 1,
"prompt_extend": true,
"enable_thinking": true,
"watermark": false
}
Use 1–3 reference images. prompt_extend_mode=agent is text-to-image only. n supports 1–6. Output size uses WIDTH*HEIGHT, with pixel area between 512×512 and 2048×2048 and aspect ratio between 1:8 and 8:1.
Set async: true or provide callback_url. Poll the returned task with:
POST /qwen-image/tasks
{"action":"retrieve","id":"TASK_ID"}
Task retrieval is free. Keep polling every 15 seconds until the response is terminal.
MCP:
pip install mcp-qwen-image| Hosted:https://qwen-image.mcp.acedata.cloud/mcp