AI-Powered Video Generation: From Script to Screen
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Automate your video production pipeline from initial script idea to final rendered video. This powerful n8n workflow leverages AI to generate scripts, create images, and then transform them into dynamic video content across multiple platforms, all managed within a no-code database.
About This Workflow
This comprehensive n8n workflow revolutionizes video content creation by automating the entire process. It integrates Large Language Models (LLMs) like OpenAI to generate engaging scripts and scene descriptions, then utilizes services like 'Leo' for AI image generation. These assets are seamlessly fed into cutting-edge AI video platforms such as Runway ML for scene-by-scene video creation. Finally, a 'json2video' service handles the final rendering and assembly, delivering polished video output. All workflow states, inputs, and outputs are meticulously managed within Baserow, providing a centralized, auditable, and flexible data layer. This enables dynamic, scalable video production without manual intervention, perfect for marketing teams and content creators.
Key Features
- End-to-End Video Automation: Fully automates the journey from text script to finished video, including AI-driven image and video generation.
- Intelligent Content Creation: Integrates OpenAI's LLM for generating and structuring video scripts, prompts, and detailed scene descriptions.
- Multi-Platform AI Media Generation: Leverages both 'Leo' (via HTTP Request) for high-quality image generation and Runway ML for advanced AI-powered video clip creation.
- Data-Driven Workflow Management: Utilizes Baserow for storing, tracking, and updating video project data, scripts, and status in real-time, offering a transparent content pipeline.
- Structured Output & Control: Employs an LLM Structured Output Parser and robust conditional logic (
If,Switch) for precise control over AI-generated content and workflow paths, ensuring consistent brand voice and style.
How To Use
- Configure Baserow: Set up your Baserow database with a table to store video script details, input prompts, and output video URLs. Ensure the "Baserow Processing" node reads from and "Update Script" node writes to this table with appropriate fields.
- Set Up OpenAI Credentials: Provide your OpenAI API key in the "OpenAI Chat Model" node's credential settings. Adjust the prompt and model parameters in "Basic LLM Chain" to guide the script generation and desired output format.
- Integrate External APIs: Configure
httpRequestnodes for "Leo - Generate Image," "Runway - Create Video," and "json2video : Video Rendering" with their respective API endpoints, authentication, and payload structures. Map the outputs from LLM and previous steps (e.g., generated prompts, image IDs) to the request bodies. - Define Workflow Logic: Customize the "Should Process?", "Switch ScriptType", and "BackgroundType"
Ifnodes to control when and how video generation proceeds based on your Baserow data or other dynamic inputs. - Adjust Wait Times: Modify the "Wait", "Wait1", and "Wait2" nodes' durations to accommodate the asynchronous processing times of the external video and image generation services, ensuring subsequent steps don't fail due to unready assets.
Apps Used
Workflow JSON
{
"id": "edf55908-974a-41bf-b4b7-46df6435d578",
"name": "AI-Powered Video Generation: From Script to Screen",
"nodes": 27,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: edf55908-974a...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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