Google Veo

Google Veo Video Generation

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

Quick Start

Requires inference.sh CLI (infsh). Get installation instructions: npx skills add inference-sh/skills@agent-tools

infsh login

infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot over a mountain lake"}'

Veo Models

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@agent-tools

# 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