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