Hi everyone! 👋 I put together a workflow that lets you create and edit images and generate videos using a Telegram bot connected to AI models like SeeDream, Nanobanana, and Sora 2. How it works: - You start by sending an image to the Telegram bot. - The bot uploads the image to an external service to get a direct link. - The AI agent uses this link to either create new images, edit the existing one with Nanobanana, or generate videos based on the images with Sora 2. - The workflow handles image resizing, uploading, and retries in case of API errors. - The results are sent back to you via Telegram without any watermarks. All the steps and tools are connected through n8n workflows using Replicate API. You can download the full workflow template in our PRO community - https://www.skool.com/5minai-pro

Hi everyone In last poll about next content you voted for Lovable apps and RAG agents - here we are! What’s inside: - Upload documents and store them as vectors in Supabase - Use n8n workflows to handle file uploads, deletions, and chat sessions - Connect with OpenAI for natural language responses to document queries - Share chat sessions anonymously via a link for external users - Track chat analytics and message history in Supabase - Secure your app with Supabase Row Level Security and anonymous sign-in If you want me to cover specific use cases or need help with any step, just drop your questions in the comments!

I struggled with figuring out how to integrate Replicate's AI models into n8n for image and video generation, so I made this simple guide to help you get started. If you want to generate creative AI images or videos through automation without hassle, this post is for you. What you'll learn: • Set up Replicate API credentials correctly in n8n • Create image generation workflows using Imagen and SeeDream models • Handle asynchronous tasks with waiting and status checking nodes • Generate AI videos using Replicate's Kling model, including start image usage • Combine workflows into one AI agent that can generate and edit images on demand\ If you want help adapting these workflows to your specific projects or have questions, let me know in the comments!

I noticed many struggle with migrating from OpenAI's Assistance API, especially with managing sessions and tool usage efficiently. This guide breaks down how to use the new Responses API in n8n to build faster, more robust automations. What's inside: • Understand differences between Assistance API and Responses API and why migration is important • Set up basic Responses API calls including instructions, input, and temperature parameters • Implement session and response ID storage to maintain chat history in databases like Supabase or Google Sheets • Use tools like web search and image generation within your workflows • Handle function calls and multiple outputs for complex data retrieval or processing • Aggregate and parse data properly for stable and concise responses If you have questions on integrating specific tools or want help with example workflows using Responses API, drop your ideas in the comments!

Hello everyone! I’ve been away from the community for the past few months, but now I’ve found the energy to come back. I have a lot of ideas to share with you, but it would be great if you could help me find the most relevant topics for you. Please vote or share your option in the comments.