About google-veo
An inference.sh CLI skill for generating videos with Google Veo models from text prompts. It offers several Veo model variants, including fast options, for creators choosing between generation speed and quality.
Key features
- 01Prompt-based video generation
- 02Five Veo model options
- 03Fast model variants
- 04CLI app search and sampling
Use cases
- 01Generating cinematic landscape shots
- 02Creating product demonstration clips
- 03Producing nature and urban scenes
- 04Testing different Veo model variants
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