google-veo▌
inferen-sh/skills · updated Apr 8, 2026
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
Google Veo Video Generation
Generate videos with Google Veo models via inference.sh CLI.

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
- Running Apps - How to run apps via CLI
- Streaming Results - Real-time progress updates
- Content Pipeline Example - Building media workflows
Ratings
4.8★★★★★39 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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