google-veo（Google VEO 搜索）

Google Veo Video Generation

Generate videos with Google Veo models via inference.sh CLI.

Google Veo Video Generation

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

Search Veo Apps

belt app list --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 250+ 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