Google Veo
/install google-veo
Google Veo Video Generation
Generate videos with Google Veo models via inference.sh CLI.

Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login
infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot over a mountain lake"}'
Install note: The install script only detects your OS/architecture, downloads the matching binary from
dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
Veo Models
| Model | App ID | Speed | Quality |
|---|---|---|---|
| Veo 3.1 | google/veo-3-1 |
Slower | Best |
| Veo 3.1 Fast | google/veo-3-1-fast |
Fast | Excellent |
| Veo 3 | google/veo-3 |
Medium | Excellent |
| Veo 3 Fast | google/veo-3-fast |
Fast | Very Good |
| Veo 2 | google/veo-2 |
Medium | Good |
Search Veo Apps
infsh app list --search "veo"
Examples
Cinematic Shot
infsh app run google/veo-3-1-fast --input '{
"prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting"
}'
Product Demo
infsh app run google/veo-3 --input '{
"prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting"
}'
Nature Scene
infsh app run google/veo-3-1-fast --input '{
"prompt": "Timelapse of clouds moving over a mountain range, golden hour"
}'
Action Shot
infsh app run google/veo-3 --input '{
"prompt": "Slow motion water droplet splashing into a pool, macro shot"
}'
Urban Scene
infsh app run google/veo-3-1-fast --input '{
"prompt": "Busy city street at night with neon signs and rain reflections, Tokyo style"
}'
Prompt Tips
Camera movements: drone shot, tracking shot, pan, zoom, dolly, steadicam
Lighting: golden hour, blue hour, studio lighting, volumetric, neon, natural
Style: cinematic, documentary, commercial, artistic, realistic
Timing: slow motion, timelapse, real-time
Sample Workflow
# 1. Generate sample input to see all options
infsh app sample google/veo-3-1-fast --save input.json
# 2. Edit the prompt
# 3. Run
infsh app run google/veo-3-1-fast --input input.json
Related Skills
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@inference-sh
# All video generation models
npx skills add inference-sh/skills@ai-video-generation
# AI avatars & lipsync
npx skills add inference-sh/skills@ai-avatar-video
# Image generation (for image-to-video)
npx skills add inference-sh/skills@ai-image-generation
Browse all video apps: infsh app list --category video
Documentation
- Running Apps - How to run apps via CLI
- Streaming Results - Real-time progress updates
- Content Pipeline Example - Building media workflows
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install google-veo - 安装完成后,直接呼叫该 Skill 的名称或使用
/google-veo触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Google Veo 是什么?
Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1295 次。
如何安装 Google Veo?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install google-veo」即可一键安装,无需额外配置。
Google Veo 是免费的吗?
是的,Google Veo 完全免费(开源免费),可自由下载、安装和使用。
Google Veo 支持哪些平台?
Google Veo 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Google Veo?
由 Ömer Karışman(@okaris)开发并维护,当前版本 v0.1.5。