This n8n workflow demonstrates how to leverage OpenAI’s GPT models and DALL·E to automate content generation, summarization, translation, and image creation. Starting from a manual trigger, it processes text inputs to produce concise summaries (TL;DR), translate content into German, and generate images based on these texts. The workflow includes multiple intelligent nodes that utilize OpenAI’s GPT-3.5, GPT-4, and DALL·E to perform complex tasks such as content summarization, translation, prompt creation for image generation, and SVG code creation. It is ideal for automating content marketing, creating engaging visuals, and providing quick, AI-assisted responses. Practical use cases include blog content automation, social media marketing, and visual content creation, saving time and enhancing productivity.
AI-Powered Text Summaries, Translations, and Image Generation Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | code, html, httpRequest, manualTrigger, openAi, readBinaryFiles, set, stickyNote |
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