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n8n Community Nodes: Runpod

npm version License: MIT

A powerful n8n Community Node that provides seamless integration with Runpod's Public Endpoints API. Generate text, images, videos, and audio using cutting-edge AI models with dynamic model discovery and smart categorization.

πŸš€ Features

  • πŸ”„ Dynamic Model Discovery - Automatically fetches all available Runpod models via GraphQL API
  • 🎯 Smart Categorization - Models automatically sorted by Text/Image/Video/Audio
  • ⚑ Performance Optimized - 5-minute caching reduces API calls
  • πŸ›‘οΈ Robust Error Handling - Fallback to hardcoded models if API fails
  • πŸ“ Built-in Examples - Pre-configured JSON templates for each model type
  • πŸ” Secure Authentication - API key stored securely in n8n credentials
  • 🎨 Clean UI - Custom icon and intuitive interface

πŸ“¦ Installation

Method 1: npm (Recommended)

npm install @runpod/n8n-nodes

Method 2: n8n Community Nodes

  1. Go to Settings β†’ Community Nodes in your n8n instance
  2. Click Install a community node
  3. Search for @runpod/n8n-nodes
  4. Click Install

Method 3: Manual Installation

# Clone the repository
git clone https://github.com/runpod/n8n-nodes.git
cd n8n-nodes

# Install dependencies
npm install

# Build the node
npm run build

# Link to n8n (for development)
npm link

πŸ”§ Setup

1. Get Your Runpod API Key

  1. Sign up at Runpod
  2. Go to Settings β†’ API Keys
  3. Create a new API key
  4. Copy the key (starts with rpa_)

2. Configure Credentials in n8n

  1. In n8n, go to Credentials β†’ Add Credential
  2. Search for Runpod API
  3. Enter your API key
  4. Test the connection

🎯 Usage

Basic Workflow

  1. Add the Node - Search for "Runpod Public Endpoints" in the nodes panel

  2. Select Operation - Choose from:

    • Generate Text - Chat models (Granite, Qwen3, Deep Cogito)
    • Generate Image - Diffusion models (Flux, Qwen Image, Seedream)
    • Generate Video - Video models (WAN, Seedance, Kling, Sora)
    • Generate Audio - Audio models (Whisper, Minimax)
    • Get Status - Check async job status
  3. Choose Model - Dropdown automatically shows relevant models

  4. Configure Input - Use built-in examples or customize JSON

  5. Execute - Run your workflow!

Example Operations

Text Generation

{
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "What is Runpod?"
    }
  ],
  "sampling_params": {
    "max_tokens": 512,
    "temperature": 0.7,
    "seed": -1,
    "top_k": -1,
    "top_p": 1
  }
}

Image Generation

{
  "prompt": "A serene mountain landscape at sunset",
  "negative_prompt": "blurry, low quality",
  "width": 1024,
  "height": 1024,
  "num_inference_steps": 20,
  "guidance": 7.5,
  "seed": 42,
  "image_format": "png"
}

Video Generation

{
  "prompt": "A serene morning in an ancient forest, golden sunlight filtering through tall pine trees",
  "num_inference_steps": 30,
  "guidance": 5,
  "negative_prompt": "",
  "size": "1280*720",
  "duration": 5,
  "flow_shift": 5,
  "seed": -1,
  "enable_prompt_optimization": false,
  "enable_safety_checker": true
}

πŸ”„ Async Operations

For long-running tasks (video generation, complex images), use async mode:

  1. Set Wait for Completion to false
  2. Execute - Returns a job ID
  3. Use Get Status operation to check progress
  4. Poll until status is COMPLETED

πŸ“š Supported Models

Text Models

  • Granite 4.0 H Small - IBM's latest language model
  • Qwen3 32B AWQ - Alibaba's efficient language model
  • Deep Cogito v2 Llama 70B - Large-scale reasoning model
  • InfiniteTalk - Conversational AI model

Image Models

  • Flux Dev/Schnell - Stability AI's latest diffusion models
  • Qwen Image - Alibaba's text-to-image model
  • Seedream 4.0 - Advanced image generation
  • Nano Banana Edit - Image editing capabilities

Video Models

  • Sora 2 Pro I2V - OpenAI's latest video model
  • WAN 2.5 - High-quality video generation
  • Seedance 1.0 Pro - Professional video creation
  • Kling v2.1 - Advanced video synthesis

Audio Models

  • Whisper V3 Large - OpenAI's speech recognition
  • Minimax Speech 02 HD - High-definition speech synthesis

πŸ› οΈ Development

Prerequisites

  • Node.js 18+
  • npm or yarn
  • n8n instance

Setup Development Environment

# Clone repository
git clone https://github.com/runpod/n8n-nodes.git
cd n8n-nodes

# Install dependencies
npm install

# Build the node
npm run build

# Link to n8n for development
npm link

# Start n8n in development mode
n8n dev

Project Structure

src/
β”œβ”€β”€ credentials/
β”‚   └── RunpodApi.credentials.ts    # API key authentication
β”œβ”€β”€ helpers/
β”‚   └── RunpodClient.ts             # API client wrapper
└── nodes/
    └── RunpodPublicEndpoints/
        β”œβ”€β”€ RunpodPublicEndpoints.node.ts        # Main node logic
        β”œβ”€β”€ RunpodPublicEndpoints.description.ts # UI configuration
        └── runpod-cube.svg                      # Custom icon

Testing

# Run tests
npm test

# Lint code
npm run lint

# Build for production
npm run build

🀝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Workflow

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

πŸ“„ License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

πŸ”— Links

🚨 Troubleshooting

Common Issues

1. "Runpod API" credential not showing

  • Solution: Restart n8n after installing the node
  • Check: Verify the node appears in Settings β†’ Community Nodes

2. 401 Authentication Error

  • Solution: Verify your API key is correct and starts with rpa_
  • Check: Test the credential connection in n8n

3. JSON parsing errors

  • Solution: Use the built-in examples or validate JSON syntax
  • Check: Ensure no unescaped newlines in string values

4. Job stuck in IN_QUEUE

  • Solution: Enable "Wait for Completion" or use async polling
  • Check: Some models have longer queue times

5. Model dropdown empty

  • Solution: Check internet connection (uses GraphQL API)
  • Fallback: Node includes hardcoded models if API fails

Debug Mode

Enable debug logging in n8n to see detailed error messages:

N8N_LOG_LEVEL=debug n8n start

πŸ†˜ Support

πŸ™ Acknowledgments

  • Runpod for providing the Public Endpoints API
  • n8n for the amazing workflow automation platform
  • Community contributors for feedback and improvements

Made with ❀️ by the Runpod team

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