About google-veo
A guide to generating videos with Google Veo models through the inference.sh CLI. It helps creators choose among listed Veo model variants, construct prompts, and run video-generation workflows.
Key features
- 01Run listed Google Veo model variants
- 02Search Veo apps from the CLI
- 03Examples for cinematic and product shots
- 04Prompt guidance for camera, lighting, and style
- 05Sample-input workflow
Use cases
- 01Generating a cinematic landscape shot
- 02Creating a product demonstration clip
- 03Trying different Veo model variants
- 04Preparing prompts for a specific camera or lighting effect
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/google-veoin Claude Code to confirm it loaded.
Details
From the project READMEInstall the belt CLI skill:
npx skills add belt-sh/cli
Google Veo Video Generation
Generate videos with Google Veo models via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run google/veo-3-1-fast --input '{"prompt": "drone shot over a mountain lake"}'
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
belt app search "veo"
Examples
Cinematic Shot
belt app run google/veo-3-1-fast --input '{
"prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting"
}'
Product Demo
belt app run google/veo-3 --input '{
"prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting"
}'
Nature Scene
belt app run google/veo-3-1-fast --input '{
"prompt": "Timelapse of clouds moving over a mountain range, golden hour"
}'
Action Shot
belt app run google/veo-3 --input '{
"prompt": "Slow motion water droplet splashing into a pool, macro shot"
}'
Urban Scene
belt 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
belt app sample google/veo-3-1-fast --save input.json
# 2. Edit the prompt
# 3. Run
belt app run google/veo-3-1-fast --input input.json
Related Skills
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
# 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: belt 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