Automated Multimodal Content Generation Workflow

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This n8n workflow orchestrates a comprehensive multimedia content creation process by integrating AI-driven text and image generation, video assembly, and data management. It leverages various services such as OpenAI for natural language processing, Leo for image prompts, HeyGen for video generation, Runway for video editing, and Baserow for data storage. The workflow begins by handling user inputs via a webhook, then dynamically generates and enhances scripts, images, and videos based on different conditions. It manages multiple scenes, synchronizes video rendering, and updates data repositories throughout. This setup is ideal for automating content creation pipelines, such as producing marketing videos, animated stories, or personalized multimedia messages, with minimal manual intervention.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, baserow, code, executeWorkflow, executeWorkflowTrigger, httpRequest, if, set, splitInBatches, splitOut, stickyNote, stopAndError, switch, wait, webhook

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