It took me way too long, but I finally got the YouTube AI template to work. I am running an app for tarantula management. Users can log in with all the details they need to collect tarantulas. Have a look here if you want. Basically, there is just one competitor. We have the better product, but our reach is much smaller, so I need to create a content engine to build up our following across Instagram and TikTok for now. I post memes every day, but the other week, I posted an educational post. For that, I found a podcast on tarantulas and analysed the script for interesting topics. Now I can do that but much much quicker and more profound by analysing views, engagement and comments. . This allows me now to create education posts about tarantulas ( i have no idea about taranulas) that are relevant and engaging on a daily basis. This is amazing. Mark has been extremely patient with me and helped me where he could.

⚠️ Link to guide and templates Content creation is a huge topic in our community, and many members have shown interest in AI-powered image generation. We’ve all seen different setups for training LoRA models through web interfaces, but what happens when you want to scale? Recently, a client approached us with a challenge: build an app like Photo.AI—a platform that allows users to train custom LoRAs and generate images on demand. Since our focus is usually business process automation, we took a deep dive into this space and found a way to train and generate images via API, making the entire process scalable. 🛠️ How We Built It To keep things flexible and efficient, we used: ✅ n8n – To automate workflows and API calls ✅ Airtable – As a user-friendly interface for text prompts ✅ Replicate – For LoRA training & image generation ✅ Google Cloud – For complex backend logic ✅ Supabase – For storage & processing With this setup, users can train their own LoRA models and generate images in any style—all through simple API calls. Instead of manually running training sessions, everything is automated, making it easy to scale the platform for multiple users. 🔍 Why This Matters This approach isn’t just for one-off image generation—it’s a fully automated pipeline that lets you: • Train custom LoRAs for different users or projects. • Generate images at scale without relying on complex web interfaces. • Integrate AI-generated visuals into any business or creative workflow. This was a fascinating project that pushed us beyond our usual automation work, and we’re excited to explore more in content generation automation. 🗣️ Would you be interested in more guides on automating content creation—image generation, video, or even AI-powered copywriting? Let us know in the comments! 🚀

Using the Agent created by Mark, Iam having trouble connecting my Postgres node with my DB. Because it did not work with postgres I am using docker. I have all the relevant information for the node (Host, database, User, Password, Port) to connect but once I click "Save" it buffers and there there is this timeout error message. My only idea so far is that something is wring with my n8n container in docker, it keeps disappearing and I have to instal a new one once I close the docker mac desktop app