Skill: 0xjordansg-yolo/openclaw-aisa-image-video-models-wan2-6-gemini-3-pro-image-nano-banana (version 1.0.0)

--- 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 metadata: {"openclaw":{"emoji":"🎬","requires":{"bins":["python3","curl"],"env":["AISA_API_KEY"]},"primaryEnv":"AISA_API_KEY"}} --- # 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 ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)