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Openclaw Media Gen

ASecurity

Generate images & videos with AIsa. Gemini 3 Pro Image (image) + Qwen Wan 2.6 (video) via one API key.

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  • Added September 5, 2026
content-marketingpythongobashapi

Works with

  • cli
  • api

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Scanned September 5, 2026

npx -y skills add dvcrn/openclaw-skills-marketplace --skill openclaw-media-gen --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: openclaw-media-gen
description: "Generate images & videos with AIsa. Gemini 3 Pro Image (image) + Qwen Wan 2.6 (video) via one API key."
homepage: https://openclaw.ai
---

# OpenClaw Media Gen 🎬

用 AIsa API 一把钥匙生成**图片**与**视频**:

- **图片**:`gemini-3-pro-image-preview`(Gemini GenerateContent)
- **视频**:`wan2.6-t2v`(通义万相 / Qwen Wan 2.6,异步任务)

API 文档索引见 [AIsa API Reference](https://aisa.mintlify.app/api-reference/introduction)(可从 `https://aisa.mintlify.app/llms.txt` 找到所有页面)。

## 🔥 你可以做什么

### 图片生成(Gemini)
```
"生成一张赛博朋克风格的城市夜景,霓虹灯,雨夜,电影感"
```

### 视频生成(Wan 2.6)
```
"用一张参考图生成 5 秒镜头:镜头缓慢推进,风吹动头发,电影感,浅景深"
```

## Quick Start

```bash
export AISA_API_KEY="your-key"
```

---

## 🖼️ Image Generation (Gemini)

### Endpoint

- Base URL: `https://api.aisa.one/v1`
- `POST /models/{model}:generateContent`

文档:`google-gemini-chat`(GenerateContent)见 `https://aisa.mintlify.app/api-reference/chat/chat-api/google-gemini-chat.md`。

### curl 示例(返回 inline_data 时为图片)

```bash
curl -X POST "https://api.aisa.one/v1/models/gemini-3-pro-image-preview:generateContent" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents":[
      {"role":"user","parts":[{"text":"A cute red panda, ultra-detailed, cinematic lighting"}]}
    ]
  }'
```

> 说明:该接口的响应中可能出现 `candidates[].parts[].inline_data`(通常包含 base64 数据与 mime 类型);客户端脚本会自动解析并保存文件。

---

## 🎞️ Video Generation (Qwen Wan 2.6 / Tongyi Wanxiang)

### Create task

- Base URL: `https://api.aisa.one/apis/v1`
- `POST /services/aigc/video-generation/video-synthesis`
- Header:`X-DashScope-Async: enable`(必填,异步)

文档:`video-generation` 见 `https://aisa.mintlify.app/api-reference/aliyun/video/video-generation.md`。

```bash
curl -X POST "https://api.aisa.one/apis/v1/services/aigc/video-generation/video-synthesis" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-DashScope-Async: enable" \
  -d '{
    "model":"wan2.6-t2v",
    "input":{
      "prompt":"cinematic close-up, slow push-in, shallow depth of field",
      "img_url":"https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Cat03.jpg/320px-Cat03.jpg"
    },
    "parameters":{
      "resolution":"720P",
      "duration":5,
      "shot_type":"single",
      "watermark":false
    }
  }'
```

### Poll task

- `GET /services/aigc/tasks?task_id=...`

文档:`task` 见 `https://aisa.mintlify.app/api-reference/aliyun/video/task.md`。

```bash
curl "https://api.aisa.one/apis/v1/services/aigc/tasks?task_id=YOUR_TASK_ID" \
  -H "Authorization: Bearer $AISA_API_KEY"
```

---

## Python Client

```bash
# 生成图片(保存到本地文件)
python3 {baseDir}/scripts/media_gen_client.py image \
  --prompt "A cute red panda, cinematic lighting" \
  --out "out.png"

# 创建视频任务(需要 img_url)
python3 {baseDir}/scripts/media_gen_client.py video-create \
  --prompt "cinematic close-up, slow push-in" \
  --img-url "https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Cat03.jpg/320px-Cat03.jpg" \
  --duration 5

# 轮询任务状态
python3 {baseDir}/scripts/media_gen_client.py video-status --task-id YOUR_TASK_ID

# 等待直到成功(可选:成功后打印 video_url)
python3 {baseDir}/scripts/media_gen_client.py video-wait --task-id YOUR_TASK_ID --poll 10 --timeout 600

# 等待直到成功并自动下载 mp4
python3 {baseDir}/scripts/media_gen_client.py video-wait --task-id YOUR_TASK_ID --download --out out.mp4
```

Files in this skill

  • README.md1.1 KB
  • SKILL.md3.8 KB
  • scripts/media_gen_client.py11.9 KB

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