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Hey guys! So I’m having trouble with a part of my n8n workflow here. So this workflow retrieves pre-set content ideas from my google sheet, generates image content based off those ideas (5 images) and then adds the images back in to the google sheet, having them ready for the next step - text generation for the carousel post. Everything’s working smooth, but the workflow breaks down in the second-to-last google sheets node. So the error I’m getting is:“Paired item data for item from node 'Select Random Style' is unavailable. Ensure 'Select Random Style' is providing the required output. An expression here won't work because it uses .item and n8n can't figure out the matching item. You can either: Add the missing information to the node 'Select Random Style' Or use .first(), .last() or .all()[index] instead of .item” So I have mapped the second-to-last google sheets node to find the same row that was retrieved with the second from the beginning node - ‘Read Carrousel Draft for Review’. The mapping is the row number outputted from that node. I think the problem might be somewhere in the split out/aggregate nodes of this workflow. You guys have any ideas? Thanks I attached a screenshot & blueprint at the bottom as well!

hey team! I just wanna ask you quick question about content automation workflow and UGC Content automation. The workflow gave an error on image prompt and I wanna ask you how we can fix that issue? If someone can help me out with that I'll be appreciated! Let's say if we have agent node and image prompt node are we gonna create different api key for them or how does that work? I am so confused. Thank you

I am looking for someone who is an expert at Dev Ops for N8N self hosted. I want to add in some level of redundancy, deal with usage issues we may have with high usage and optimize the performance etc. Experts only no beginners please. Please ping me if interested!

What a crazy week in the AI space... In this video, I break down Google’s new NanoBanana Pro image model, and it is hands down the most detailed image generator I’ve used so far. I’ll show you how to plug it into n8n to level up your AI agents and automation workflows, and how to get it running cheaper than the official price with no watermarks. We’ll walk through text to image, image to image, and using multiple input images so you can test different prompts right away. The setup is simple, there’s no code needed, and you can follow along step by step as we build this workflow together.