acedatacloud Qwen Image 3
Use POST https://api.acedata.cloud/qwen-image/images for generation and editing.
Models
| Model | Best for |
|---|---|
qwen-image-3.0 |
Value, throughput, batch production |
qwen-image-3.0-pro |
Complex layouts, small text, fine detail |
Generate
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}'
Edit with references
{
"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.
Async tasks
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