Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate images & videos with AIsa. Gemini 3 Pro Image (image) + Qwen Wan 2.6 (video) via one API key.
Generate images & videos with AIsa. Gemini 3 Pro Image (image) + Qwen Wan 2.6 (video) via one API key.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
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(可从 https://aisa.mintlify.app/llms.txt 找到所有页面)。
"生成一张赛博朋克风格的城市夜景,霓虹灯,雨夜,电影感"
"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"
export AISA_API_KEY="your-key"
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 -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。
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。 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 } }'
GET /services/aigc/tasks?task_id=... 文档:task 见 https://aisa.mintlify.app/api-reference/aliyun/video/task.md。 curl "https://api.aisa.one/apis/v1/services/aigc/tasks?task_id=YOUR_TASK_ID" \ -H "Authorization: Bearer $AISA_API_KEY"
# 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
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