google-veo

name	google-veo
description	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 output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video
allowed-tools	Bash(belt *)

Install 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