This workflow automates the process of transforming Hacker News articles into engaging videos. Starting with a manual trigger, it fetches trending news from Hacker News and analyzes the content using OpenAI models to generate summaries and image prompts. It then uses Leonardo.ai to create related images, and RunwayML to produce videos from these images. The workflow includes steps to progressively analyze, project, and combine images and videos into a cohesive visual story. Additionally, it uploads the generated media to cloud storage services like Dropbox and Google Drive, and posts content to social media platforms such as YouTube, Twitter, Instagram, and LinkedIn. Designed for content creators and marketers, this automated process streamlines creating multimedia news summaries suitable for newsletters, social media, or personal blogs.
Automated Video Creation from News Articles and Images
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolHttpRequest, dropbox, googleDrive, hackerNews, httpRequest, if, limit, linkedIn, manualTrigger, microsoftOneDrive, s3, set, splitInBatches, stickyNote, twitter, wait, youTube |
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