This workflow automates the conversion of natural language prompts into detailed JSON configurations for the Veo 3 video generation system, and then generates videos using AI-driven tools. It starts with a webhook trigger for user input, which is processed by a prompt converter node to structure the description, including visual, stylistic, and technical parameters. The structured prompt is sent to a language model (GPT-4) to refine or expand the input if needed. The final JSON prompt is then used by the Google Gemini node to generate a video based on the detailed specifications. This workflow is ideal for content creators, marketers, or developers looking to automate video production from textual descriptions, ensuring high-quality, customizable video outputs with minimal manual effort.
AI-Driven Video Generation from Natural Language Prompts
| Node Count | 6 – 10 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.googleGemini, @n8n/n8n-nodes-langchain.lmChatAzureOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured |
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