This n8n workflow automates the process of generating AI-powered images based on user prompts and storing them securely in AWS S3. It begins with a manual trigger, allowing users to input custom parameters such as image description, size, and storage folder. The workflow then creates an AWS S3 bucket if it doesn’t exist, followed by creating a dedicated folder within that bucket for organization. An AI prompt generation agent refines the input prompt using OpenAI’s language models to ensure high-quality image outputs. The refined prompt is used to generate an image via OpenAI’s image model, which is subsequently uploaded to the specified S3 folder with a unique timestamped filename. Optional steps include deleting specific images or entire folders for management and cleanup. This setup is ideal for marketers, developers, and content creators seeking a streamlined, automated pipeline for AI-generated visual content enhancement and storage.
AI-Driven Image Generation and Storage in AWS S3
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, awsS3, manualTrigger, set, stickyNote |
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