Description

n8n-nodes-fal

!fal.ai

This is an n8n community node that lets you integrate fal.ai AI model APIs into your n8n workflows.

fal.ai is a platform for running AI models with fast inference, supporting text-to-image, image-to-video, and other generative AI capabilities.

n8n is a fair-code licensed workflow automation platform.

Installation

Follow the installation guide in the n8n community nodes documentation.

Install via n8n UI

1. Go to Settings > Community Nodes
2. Select Install
3. Enter n8n-nodes-fal in Enter npm package name
4. Agree to the risks of using community nodes
5. Select Install

Manual Installation

To get started install the package in your n8n root directory:

npm install n8n-nodes-fal

Operations

Text to Image

• Generate: Generate images from text prompts using various AI models

– Multiple models available with different strengths
– Configurable aspect ratios and resolutions
– Optional negative prompts for better control
– Seed support for reproducible results
– Batch generation support

Text to Video

• Generate: Generate videos from text prompts using AI models

– Multiple models with different capabilities
– Various aspect ratios and resolutions
– Duration options
– Optional audio generation
– Advanced prompt controls

Image to Video

• Generate Video: Convert images to videos using AI models

– Multiple models for different use cases
– Single image animation
– Multiple reference images support
– First-last frame animation
– Configurable aspect ratios, durations, and resolutions

Text to Speech

• Generate: Convert text to speech using AI models

– Multiple voice options
– Language support
– Adjustable speech parameters (stability, similarity, style, speed)
– Optional timestamps

Credentials

To use this node, you’ll need a fal.ai API key:

1. Sign up for a free account at fal.ai
2. Navigate to your API Keys dashboard
3. Create a new API key or use an existing one
4. Copy the API key (format: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx)

Setting up credentials in n8n

1. Open your n8n instance
2. Go to Credentials → New
3. Search for Fal.ai API
4. Enter your API Key
5. Click Create

The credentials will be automatically tested by making a request to the fal.ai API.

Usage

Basic Image Generation

1. Add the Fal.ai node to your workflow
2. Select Text to Image as the resource
3. Select Generate as the operation
4. Choose your preferred model from the dropdown
5. Fill in:
– Prompt: Your text description (e.g., “A beautiful sunset over mountains”)
– Additional Options: Configure aspect ratio, resolution, etc. based on the selected model

Basic Video Generation from Text

1. Add the Fal.ai node to your workflow
2. Select Text to Video as the resource
3. Select Generate as the operation
4. Choose your preferred model from the dropdown
5. Fill in:
– Prompt: Your video description (e.g., “A time-lapse of clouds moving over a city”)
– Configure duration, aspect ratio, and resolution options

Basic Video Generation from Image

1. Add the Fal.ai node to your workflow
2. Select Image to Video as the resource
3. Select Generate Video as the operation
4. Choose your preferred model from the dropdown
5. Fill in:
– Image URL: Publicly accessible image URL (or multiple URLs for reference models)
– Prompt: Animation description (e.g., “Camera slowly pans from left to right”)
– Configure duration, aspect ratio, and resolution options

Basic Text to Speech

1. Add the Fal.ai node to your workflow
2. Select Text to Speech as the resource
3. Select Generate as the operation
4. Choose your preferred model from the dropdown
5. Fill in:
– Text: The text you want to convert to speech
– Voice: Select from available voice options
– Language: Choose the language
– Configure additional speech parameters as needed

Queue Processing

All operations use fal.ai’s queue system for reliable async processing:

• Requests are submitted to a queue
• The node polls the queue status every 5 seconds
• Maximum wait time: 20 minutes (suitable for video generation)
• Status updates are logged for visibility

The node handles all queue management automatically – you don’t need to worry about polling or checking status manually.

Chaining Operations

You can chain multiple Fal.ai nodes together for complex workflows:

1. Text to Image → Generate an image from text
2. HTTP Request → Download/process the image if needed
3. Image to Video → Convert the generated image to video
4. Text to Speech → Add narration to your content

Example workflows:

• Text prompt → Image generation → Video animation
• Text → Speech generation → Combine with video
• Multiple images → Reference-based video generation

Features

Comprehensive AI Generation

• ✅ Text to Image – Generate images from text prompts with multiple models
• ✅ Text to Video – Create videos directly from text descriptions
• ✅ Image to Video – Animate static images into videos
• ✅ Text to Speech – Convert text to natural-sounding speech
• ✅ Multiple models – Choose the best model for your specific use case
• ✅ Flexible parameters – Aspect ratios, resolutions, durations, and more
• ✅ Advanced controls – Negative prompts, seeds, style parameters
• ✅ Batch operations – Generate multiple outputs in a single request
• ✅ Reference-based generation – Use multiple reference images for consistency

Queue Management

• ✅ Automatic polling – No manual status checking required
• ✅ Status tracking – Real-time progress updates
• ✅ Error handling – Graceful failure management
• ✅ Timeout protection – Appropriate timeouts for long-running operations
• ✅ Retry logic – Built-in retry mechanisms

Rate Limits

fal.ai uses a credit-based pricing system with the following characteristics:

• Free tier: Available for testing and development
• Credits: Purchase credits based on your usage
• Pricing: Varies by model and complexity
• Queue system: Ensures reliable processing during high load
• Failed requests: Can be retried using n8n’s built-in error handling

For detailed pricing information, visit:

• fal.ai Pricing
• Model-specific pricing

API Documentation

For more details about the fal.ai API:

• fal.ai Documentation
• Queue API Guide
• Model Gallery

Resources

• n8n community nodes documentation
• fal.ai Documentation
• GitHub Repository

Development

Install dependencies
npm install
Build the node
npm run build
Run in development mode
npm run dev
Lint code
npm run lint
Fix linting issues
npm run lint:fix

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues, questions, or contributions, please visit the GitHub repository.

About

A community node for fal.ai

Resources

Readme

License

MIT license