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
Install to Claude Code
npx -y skills add inference-sh/skills --skill google-veo --agent claude-codeInstalls into .claude/skills of the current project.
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---
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
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
Scanned 2/12/2026
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