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.
Quellinformationen
- Repository
- AceDataCloud/Skills
- Letzte Quellaktivität
- 24. August 2026 um 11:23
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 17
- Forks
- 1
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
SKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- 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`
Auf GitHub ansehen