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.
معلومات المصدر
- المستودع
- AceDataCloud/Skills
- آخر نشاط في المصدر
- ٢٤ أغسطس ٢٠٢٦ في ١١:٢٣
- لغة SKILL.md المكتشفة
- الإنجليزية
- النجوم
- ١٧
- التفرعات
- ١
خيارات التثبيت
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
مراجعة ملفات المصدر
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
عرض SKILL.md
SKILL.md
تعليمات المصدر · معاينة للقراءة فقط- 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`
عرض على GitHub