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google-veo

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

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
165
Hot score
96
Updated
March 20, 2026
Overall rating
C3.4
Composite score
3.4
Best-practice grade
A85.2

Install command

npx @skill-hub/cli install inferencesh-skills-google-veo
video-generationai-modelscinematiccli-toolgoogle-veo

Repository

inferencesh/skills

Skill path: skills/google-veo

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

Open repository

Best for

Primary workflow: Design Product.

Technical facets: Designer, Data / AI.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: inferencesh.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install google-veo into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/inferencesh/skills before adding google-veo to shared team environments
  • Use google-veo for design workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
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(infsh *)
---

# Google Veo Video Generation

![Google Veo Video Generation](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kg2c0egyg243mnyth4y6g51q.jpeg)

Generate videos with Google Veo models via [inference.sh](https://inference.sh) CLI.

## Quick Start

```bash
curl -fsSL https://cli.inference.sh | sh && 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

```bash
infsh app list --search "veo"
```

## Examples

### Cinematic Shot

```bash
infsh app run google/veo-3-1-fast --input '{
  "prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting"
}'
```

### Product Demo

```bash
infsh app run google/veo-3 --input '{
  "prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting"
}'
```

### Nature Scene

```bash
infsh app run google/veo-3-1-fast --input '{
  "prompt": "Timelapse of clouds moving over a mountain range, golden hour"
}'
```

### Action Shot

```bash
infsh app run google/veo-3 --input '{
  "prompt": "Slow motion water droplet splashing into a pool, macro shot"
}'
```

### Urban Scene

```bash
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

```bash
# 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

```bash
# Full platform skill (all 150+ apps)
npx skills add inferencesh/skills@inference-sh

# All video generation models
npx skills add inferencesh/skills@ai-video-generation

# AI avatars & lipsync
npx skills add inferencesh/skills@ai-avatar-video

# Image generation (for image-to-video)
npx skills add inferencesh/skills@ai-image-generation
```

Browse all video apps: `infsh app list --category video`

## Documentation

- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI
- [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates
- [Content Pipeline Example](https://inference.sh/docs/examples/content-pipeline) - Building media workflows