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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install google-veo - After installation, invoke the skill by name or use
/google-veo - Provide required inputs per the skill's parameter spec and get structured output
What is Google Veo?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 1295 downloads so far.
How do I install Google Veo?
Run "/install google-veo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Google Veo free?
Yes, Google Veo is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Google Veo support?
Google Veo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Google Veo?
It is built and maintained by Ömer Karışman (@okaris); the current version is v0.1.5.