google-veo
Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast. 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
ソース情報
- リポジトリ
- inference-sh/skills
- ソースの最終更新活動
- 2026年9月18日 10:41
- 検出された SKILL.md の言語
- 英語
- スター
- 763
- フォーク
- 103
インストール方法
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- google-veo
- description
- Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast. 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(belt *)
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# Google Veo Video Generation
Generate videos with Google Veo models via [inference.sh](https://inference.sh) CLI.
## Quick Start
> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)
```bash
belt login
belt 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 |
## Search Veo Apps
```bash
belt app search "veo"
```
## Examples
### Cinematic Shot
```bash
belt app run google/veo-3-1-fast --input '{
"prompt": "Cinematic drone shot flying through a misty forest at sunrise, volumetric lighting"
}'
```
### Product Demo
```bash
belt app run google/veo-3-1 --input '{
"prompt": "Sleek smartphone rotating on a dark reflective surface, studio lighting"
}'
```
### Nature Scene
```bash
belt app run google/veo-3-1-fast --input '{
"prompt": "Timelapse of clouds moving over a mountain range, golden hour"
}'
```
### Action Shot
```bash
belt app run google/veo-3-1 --input '{
"prompt": "Slow motion water droplet splashing into a pool, macro shot"
}'
```
### Urban Scene
```bash
belt 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
belt app sample google/veo-3-1-fast --save input.json
# 2. Edit the prompt
# 3. Run
belt app run google/veo-3-1-fast --input input.json
```
## Related Skills
```bash
# Full platform skill (all 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: `belt 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
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