n8n Workflow: Turn Text into Cinematic Videos using GPT-4, Dumpling, Flux1 Pro, and Veo 3

This n8n workflow automates the process of generating cinematic video ideas and associated metadata from a text prompt, leveraging OpenAI's GPT-4 for creative content generation. It's designed to streamline the initial stages of video production, from concept to detailed shot descriptions.

What it does

This workflow simplifies and automates the following steps:

1. Triggers on Form Submission: The workflow starts when a user submits a form, likely containing a text prompt or idea for a video.
2. Generates Cinematic Video Concepts with OpenAI: It sends the submitted text to OpenAI (presumably using GPT-4) to generate detailed cinematic video concepts, including elements like title, logline, genre, tone, visual style, characters, plot summary, and shot-by-shot descriptions.
3. Processes and Formats Data: A Code node then takes the raw output from OpenAI, extracts the relevant information, and formats it into a structured JSON object, making it easier to work with in subsequent steps.
4. Conditional Processing: An If node checks if the OpenAI generation was successful and if the necessary data (like videoTitle) is present.
5. Delays Processing (Optional): If the conditions are met, a Wait node introduces a delay, which can be useful for rate limiting or allowing time for other systems to prepare.
6. Makes an HTTP Request: An HTTP Request node is configured to send the generated video data to an external API endpoint. This could be used to trigger video generation platforms (like Dumpling, Flux1 Pro, or Veo 3 as hinted by the directory name), store data in a database, or integrate with other systems.
7. Logs to Google Sheets: Finally, the workflow records the generated video details (likely including the prompt and the generated content) into a Google Sheet for tracking and archival purposes.

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running n8n instance to import and execute the workflow.
• OpenAI API Key: An API key for OpenAI, with access to GPT-4 or a similar large language model. This will need to be configured as an n8n credential.
• Google Sheets Account: A Google Sheets account and a specific spreadsheet where the video details will be logged. This will require Google Sheets credentials configured in n8n.
• External API Endpoint: An accessible HTTP endpoint for the "HTTP Request" node to send the generated video data to. The exact nature of this endpoint will depend on your video generation platform (e.g., Dumpling, Flux1 Pro, Veo 3).

Setup/Usage

1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
2. Configure Credentials:
   • OpenAI: Set up an OpenAI credential with your API key.
   • Google Sheets: Set up Google Sheets credentials (OAuth2 recommended) and select the appropriate spreadsheet and sheet to log the data.
3. Configure "On form submission" Trigger: Customize the form fields if needed, or use the default setup to receive text prompts.
4. Review "Code" Node: The Code node contains JavaScript logic to parse the OpenAI response. You might need to adjust this if your OpenAI prompt or expected output format changes.
5. Configure "HTTP Request" Node:
   • URL: Update the URL to point to your video generation platform's API endpoint.
   • Method: Ensure the HTTP method (e.g., POST) is correct.
   • Headers/Body: Configure any necessary headers (e.g., API keys, content-type) and adjust the request body to match the requirements of your external API. The Code node prepares the data, so you'll likely reference its output here.
6. Activate the Workflow: Once configured, activate the workflow to start processing form submissions.

This workflow provides a robust foundation for automating the creative ideation and initial data preparation for cinematic video production.