n8n Workflow: Face Swapping Deepfake Video Creation with Fal.ai and AWS S3

This n8n workflow automates the process of creating deepfake videos by leveraging the Fal.ai API for face swapping and AWS S3 for storage. It provides a simple form-based trigger to initiate the video generation.

What it does

This workflow streamlines the deepfake video creation process through the following steps:

1. Triggers on Form Submission: The workflow starts when a user submits data through an n8n form. This form likely collects the necessary inputs for the deepfake generation (e.g., source video URL, target face image URL).
2. Prepares Data (Edit Fields): It uses a "Set" node to transform or prepare the incoming form data into the format required by subsequent API calls. This might involve renaming fields or constructing specific JSON payloads.
3. Initiates Face Swap (HTTP Request): An HTTP Request node sends a request to the Fal.ai API to perform the face swapping operation. This request will include the video and face image information provided via the form.
4. Waits for Processing (Wait): After initiating the face swap, the workflow pauses using a "Wait" node. This is crucial because deepfake video generation is an asynchronous process and can take time.
5. Checks Processing Status (HTTP Request & If): After the wait period, another HTTP Request node is used to query the Fal.ai API for the status of the deepfake video generation. An "If" node then checks if the video processing is complete or if there was an error.
6. Uploads to AWS S3 (AWS S3): If the video generation is successful, the workflow uploads the resulting deepfake video to an AWS S3 bucket for storage and accessibility.
7. Merges Paths (Merge): A "Merge" node is used to combine the data streams from different conditional branches (e.g., success and failure paths) to ensure the workflow can continue or conclude gracefully.

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running n8n instance.
• Fal.ai Account & API Key: An account with Fal.ai and an associated API key for accessing their face-swapping service.
• AWS Account & S3 Bucket: An AWS account with an S3 bucket configured for storing the generated videos, along with appropriate AWS credentials (Access Key ID and Secret Access Key) for n8n to interact with S3.

Setup/Usage

1. Import the workflow: Download the provided JSON and import it into your n8n instance.
2. Configure Credentials:
   • Fal.ai: Locate the "HTTP Request" nodes interacting with Fal.ai and configure the necessary API key in the HTTP Header or Authentication section.
   • AWS S3: Configure your AWS S3 credentials in the "AWS S3" node. This typically involves providing your Access Key ID, Secret Access Key, and the region of your S3 bucket.
3. Configure the n8n Form Trigger:
   • Open the "On form submission" node.
   • Customize the form fields to collect the required inputs for your deepfake generation (e.g., sourceVideoUrl, targetFaceImageUrl).
   • Activate the form to get its public URL.
4. Adjust Node Settings:
   • Edit Fields (Set): Review and adjust the "Edit Fields" (Set) node to ensure it correctly maps and transforms the data from your form to the Fal.ai API request payload.
   • HTTP Request (Fal.ai): Verify the URL, method, headers, and body of the HTTP Request nodes making calls to Fal.ai. Ensure they match Fal.ai's API documentation for initiating a face swap and checking its status.
   • Wait: Adjust the duration of the "Wait" node based on the typical processing time for Fal.ai's deepfake generation.
   • If: Ensure the "If" node's conditions accurately check the status response from Fal.ai to determine success or failure.
   • AWS S3: Configure the "AWS S3" node with your bucket name, file name conventions, and any other relevant settings for uploading the generated video.
5. Activate the Workflow: Once configured, activate the workflow.
6. Trigger the Workflow: Submit the n8n form to trigger the workflow and initiate the deepfake video creation process.