# Chilli > AI model for generating voice cloning content ## Overview - **Model ID**: `chilli` - **Category**: voice cloning - **Provider**: modelslab - **Source Type**: Open Source Model - **Status**: model_ready - **Screenshot**: `https://assets.modelslab.ai/audio/Thumbnail1024/chilli.png` ## 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/v6/voice/voice_cover` - **Method**: POST ### Parameters - **`init_audio`** (required): Upload youtube music or mp3,wav music - Type: file ("audio/mp3,audio/wav") - Example: Enter/Upload Audio URL - **`model_id`** (required): Enter model_id for the voice cover - Type: text - Example: Enter model_id for the voice cover - **`pitch`** (required): Use none when the provided audio singer is male and model id is male. use m2f when the provided audio is male anf the model id is female. use f2m when the provided audio is female anf the model id is male - Type: select (options: none, m2f, f2m) ## Usage Examples ### cURL ```bash curl --request POST \ --url https://modelslab.com/api/v6/voice/voice_cover \ --header "Content-Type: application/json" \ --data '{ "key": "YOUR_API_KEY", "model_id": "chilli", "init_audio": "https://www.youtube.com/watch?v=ixkoVwKQaJg", "pitch": "none" }' ``` ### Python ```python import requests response = requests.post( "https://modelslab.com/api/v6/voice/voice_cover", headers={ "Content-Type": "application/json" }, json={ "key": "YOUR_API_KEY", "model_id": "chilli", "init_audio": "https://www.youtube.com/watch?v=ixkoVwKQaJg", "pitch": "none" } ) print(response.json()) ``` ### JavaScript ```javascript fetch("https://modelslab.com/api/v6/voice/voice_cover", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ "key": "YOUR_API_KEY", "model_id": "chilli", "init_audio": "https://www.youtube.com/watch?v=ixkoVwKQaJg", "pitch": "none" }) }) .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 "chilli" # Find this model modelslab models detail --id chilli # Get model details modelslab generate image --prompt "..." --model chilli # Generate with model modelslab config set generation.default_model chilli # 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-frontend-v2-927501783998.us-east4.run.app/models/modelslab/chilli) - [API Documentation](https://docs.modelslab.com) - [ModelsLab Platform](https://modelslab.com)