qwen-image
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.
Source facts
- Repository
- AceDataCloud/Skills
- Last source activity
- August 24, 2026 at 11:23
- Detected SKILL.md language
- English
- Stars
- 17
- Forks
- 1
Install options
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Review the source files
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Showing SKILL.md
SKILL.md
Source instructions · Read-only preview- name
- qwen-image
- description
- 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.
- license
- Apache-2.0
- metadata
- {"author":"acedatacloud","version":"1.0"}
- compatibility
- Requires ACEDATACLOUD_API_TOKEN. Optionally pair with mcp-qwen-image.
# 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
```bash
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
```json
{
"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:
```json
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`
View on GitHub