# Flux 3 Text To VIdeo > AI model for generating video content ## Overview - **Model ID**: `flux-3-t2v` - **Category**: video - **Provider**: bfl - **Source Type**: Closed Source Model - **Status**: model_ready - **Screenshot**: `https://assets.modelslab.ai/generations/f591b7cd-99cd-4058-9e5b-341befcf62d5.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): Text prompt describing the desired video content - Type: textarea - **`resolution`** (required): Output video resolution: Supported resolutions include HD and FHD - Type: select (options: HD, FHD) - **`duration`** (required): Supported duration is in range of 5 to 20 seconds - Type: number (range: 5-20) ## 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": "flux-3-t2v", "prompt": "A dramatic, high-intensity street scene where two massive bulls are fighting violently in the middle of a narrow urban street, dust and debris flying into the air, intense energy and raw power. The bulls clash head-to-head, horns locked, muscles flexing, hooves smashing against the road. Nearby buildings shake slightly from the impact. Shocked bystanders stand at a safe distance, some recording on their phones. Sunlight streams through the narrow street, creating cinematic lighting and dramatic shadows. Slow-motion moments show dust particles and sweat flying. Ultra-realistic, hyper-detailed textures, dynamic camera movement, cinematic depth of field, motion blur, dramatic atmosphere, action-packed, realistic physics, handheld camera feel, natural lighting, epic cinematic style.", "resolution": "hd", "duration": "5" }' ``` ### 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": "flux-3-t2v", "prompt": "A dramatic, high-intensity street scene where two massive bulls are fighting violently in the middle of a narrow urban street, dust and debris flying into the air, intense energy and raw power. The bulls clash head-to-head, horns locked, muscles flexing, hooves smashing against the road. Nearby buildings shake slightly from the impact. Shocked bystanders stand at a safe distance, some recording on their phones. Sunlight streams through the narrow street, creating cinematic lighting and dramatic shadows. Slow-motion moments show dust particles and sweat flying. Ultra-realistic, hyper-detailed textures, dynamic camera movement, cinematic depth of field, motion blur, dramatic atmosphere, action-packed, realistic physics, handheld camera feel, natural lighting, epic cinematic style.", "resolution": "hd", "duration": "5" } ) 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": "flux-3-t2v", "prompt": "A dramatic, high-intensity street scene where two massive bulls are fighting violently in the middle of a narrow urban street, dust and debris flying into the air, intense energy and raw power. The bulls clash head-to-head, horns locked, muscles flexing, hooves smashing against the road. Nearby buildings shake slightly from the impact. Shocked bystanders stand at a safe distance, some recording on their phones. Sunlight streams through the narrow street, creating cinematic lighting and dramatic shadows. Slow-motion moments show dust particles and sweat flying. Ultra-realistic, hyper-detailed textures, dynamic camera movement, cinematic depth of field, motion blur, dramatic atmosphere, action-packed, realistic physics, handheld camera feel, natural lighting, epic cinematic style.", "resolution": "hd", "duration": "5" }) }) .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 "flux-3-t2v" # Find this model modelslab models detail --id flux-3-t2v # Get model details modelslab generate image --prompt "..." --model flux-3-t2v # Generate with model modelslab config set generation.default_model flux-3-t2v # 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/bfl/flux-3-t2v) - [API Documentation](https://docs.modelslab.com) - [ModelsLab Platform](https://modelslab.com)