Skill: okaris/google-veo (version 0.1.5)

--- 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. ![Google Veo Video Generation](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kg2c0egyg243mnyth4y6g51q.jpeg) ## 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"}' ``` > **Install note:** The [install script](https://cli.inference.sh) only detects your OS/architecture, downloads the matching binary from `dist.inference.sh`, and verifies its SHA-256 checksum. No elevated permissions or background processes. [Manual install & verification](https://dist.inference.sh/cli/checksums.txt) available. ## 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 inference-sh/skills@inference-sh # 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](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


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)