# Google/Veo 3 Fast Preview > veo-3.0-fast-generate-preview is Google’s speed-optimized AI video generation mode that quickly produces 1080p preview videos. It delivers realistic motion, dynamic scenes, and native audio, making it ideal for testing concepts before full-quality renders ## Overview - **Model ID**: `veo3-fast-preview` - **Category**: video - **Provider**: google - **Source Type**: Closed Source Model - **Status**: active - **Screenshot**: `https://assets.modelslab.ai/generations/707c2544-a4e2-4f55-8db9-fd20fb82063b.webp` ## API Information This model can be used via our HTTP API. See the API documentation and usage examples below. ### Endpoint - **URL**: `https://modelslab.com/api/v7/video-fusion/text-to-video` - **Method**: POST ### Parameters - **`prompt`** (required): - Type: textarea - Example: Enter prompt for video - **`aspect_ratio`** (required): The aspect ratio of the generated video — 16:9 is wide - Type: select (options: 16:9) - **`duration`** (optional): Veo 3 accept 8 sec duration - Type: select (options: 8s) - **`generate_audio`** (optional): Determines whether audio should be generated for the video. Default is true. - Type: toggle - **`negative_prompt`** (optional): A negative prompt that specifies what should be avoided during video generation. - Type: textarea - **`enhance_prompt`** (optional): Engance your given prompt. Default true - Type: toggle ## Usage Examples ### cURL ```bash curl --request POST \ --url https://modelslab.com/api/v7/video-fusion/text-to-video \ --header "Content-Type: application/json" \ --data '{ "key": "YOUR_API_KEY", "model_id": "veo3-fast-preview", "prompt": "Ultra-realistic cinematic shot of a beautiful young woman riding a stylish motorcycle along a scenic seashore road at golden hour. The ocean glistens under the warm sunlight, waves gently crashing against the shore, and a cool breeze flows through her hair. People on the beach stop to admire her, smiling and taking photos as she rides past. Smooth tracking camera angles follow the bike from the side, front, and overhead, with motion blur, soft lens flares, and rich colors capturing the joyful, serene atmosphere", "aspect_ratio": "16:9", "duration": "8", "generate_audio": false, "negative_prompt": "example_negative_prompt", "enhance_prompt": false }' ``` ### Python ```python import requests response = requests.post( "https://modelslab.com/api/v7/video-fusion/text-to-video", headers={ "Content-Type": "application/json" }, json={ "key": "YOUR_API_KEY", "model_id": "veo3-fast-preview", "prompt": "Ultra-realistic cinematic shot of a beautiful young woman riding a stylish motorcycle along a scenic seashore road at golden hour. The ocean glistens under the warm sunlight, waves gently crashing against the shore, and a cool breeze flows through her hair. People on the beach stop to admire her, smiling and taking photos as she rides past. Smooth tracking camera angles follow the bike from the side, front, and overhead, with motion blur, soft lens flares, and rich colors capturing the joyful, serene atmosphere", "aspect_ratio": "16:9", "duration": "8", "generate_audio": False, "negative_prompt": "example_negative_prompt", "enhance_prompt": False } ) print(response.json()) ``` ### JavaScript ```javascript fetch("https://modelslab.com/api/v7/video-fusion/text-to-video", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ "key": "YOUR_API_KEY", "model_id": "veo3-fast-preview", "prompt": "Ultra-realistic cinematic shot of a beautiful young woman riding a stylish motorcycle along a scenic seashore road at golden hour. The ocean glistens under the warm sunlight, waves gently crashing against the shore, and a cool breeze flows through her hair. People on the beach stop to admire her, smiling and taking photos as she rides past. Smooth tracking camera angles follow the bike from the side, front, and overhead, with motion blur, soft lens flares, and rich colors capturing the joyful, serene atmosphere", "aspect_ratio": "16:9", "duration": "8", "generate_audio": false, "negative_prompt": "example_negative_prompt", "enhance_prompt": false }) }) .then(response => response.json()) .then(data => console.log(data)); ``` ## Integration Options ### CLI Install: `curl -fsSL https://modelslab.sh/install.sh | sh` or `brew install modelslab/tap/modelslab` ```bash modelslab auth login # Authenticate modelslab models search "veo3-fast-preview" # Find this model modelslab models detail --id veo3-fast-preview # Get model details modelslab generate image --prompt "..." --model veo3-fast-preview # Generate with model modelslab config set generation.default_model veo3-fast-preview # Set as default ``` - Website: https://modelslab.sh - GitHub: https://github.com/ModelsLab/modelslab-cli ### MCP Servers (Model Context Protocol) For Claude Code, Cursor, VS Code, Windsurf, and any MCP-compatible agent. - Generation: `https://modelslab.com/mcp/v7` (API key auth, 23 tools) - Agent Control Plane: `https://modelslab.com/mcp/agents` (Bearer token auth, 10 tools) Claude Code config (`~/.claude/settings.json`): ```json { "mcpServers": { "modelslab-v7": { "url": "https://modelslab.com/mcp/v7", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } } ``` - Documentation: https://docs.modelslab.com/mcp-web-api/overview ### Agent Skills Install skill files directly into AI coding agents: ```bash npx skills add modelslab/skills --all # All skills npx skills add modelslab/skills --skill image-generation # Specific skill npx skills add modelslab/skills --all -a claude-code -a cursor # Target agents ``` - GitHub: https://github.com/ModelsLab/skills - Documentation: https://docs.modelslab.com/agent-skills ### SDKs - Python: `pip install modelslab` - TypeScript: `npm install modelslab` - PHP: `composer require modelslab/modelslab` - Go: `go get github.com/modelslab/modelslab-go` - Dart: `dart pub add modelslab` ## Links - [Model Playground](https://modelslab.com/models/google/veo3-fast-preview) - [API Documentation](https://docs.modelslab.com) - [ModelsLab Platform](https://modelslab.com)