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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

Quellinformationen

Repository
inference-sh/skills
Letzte Quellaktivität
18. September 2026 um 10:41
Erkannte Sprache von SKILL.md
Englisch
Sterne
763
Forks
103

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
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. ![Google Veo Video Generation](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kg2c0egyg243mnyth4y6g51q.jpeg) ## 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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