Backend

google-veo

inferen-sh/skills · updated Apr 8, 2026

$npx skills add https://github.com/inferen-sh/skills --skill google-veo
summary

Text-to-video generation using Google Veo models via inference.sh CLI.

  • Five Veo model variants available, ranging from Veo 2 to Veo 3.1, with trade-offs between speed and quality
  • Supports cinematic, product, nature, action, and urban scene generation with detailed prompt control over camera movements, lighting, and timing
  • Requires inference.sh CLI ( infsh ) for authentication and app execution
  • Includes sample workflow for generating input templates and iterating on prompts
skill.md

Google Veo Video Generation

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

Google Veo Video Generation

Quick Start

Requires inference.sh CLI (infsh). Install instructions

infsh login

infsh 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

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@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: infsh app list --category video

Documentation

general reviews

Ratings

4.839 reviews
  • Chaitanya Patil· Dec 20, 2024

    Registry listing for google-veo matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Tariq Smith· Dec 20, 2024

    google-veo is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kofi Jain· Dec 16, 2024

    I recommend google-veo for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yuki Shah· Dec 16, 2024

    google-veo fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aditi Flores· Dec 4, 2024

    Solid pick for teams standardizing on skills: google-veo is focused, and the summary matches what you get after install.

  • Kiara Flores· Nov 23, 2024

    Registry listing for google-veo matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Rahul Santra· Nov 19, 2024

    google-veo reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Nov 11, 2024

    Solid pick for teams standardizing on skills: google-veo is focused, and the summary matches what you get after install.

  • Zaid Srinivasan· Nov 7, 2024

    Useful defaults in google-veo — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Evelyn Ndlovu· Nov 7, 2024

    We added google-veo from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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