Descriptions:
Producing AI-generated UGC video ads longer than a few seconds — with the same character appearing consistently across every clip — has been a persistent challenge. This tutorial by Zubair Trabzada demonstrates a complete n8n automation workflow that solves both problems, taking a single product image and brief description as input and outputting a combined multi-clip video ad on autopilot.
The workflow chains together Nano Banana Pro via file.ai’s API for consistent character image generation, then feeds that image into multiple Veo 3.1 Fast video generation calls — each producing an 8-second clip — which are concatenated at the end into a single video URL. Character consistency is achieved by anchoring every video generation call to the same Nano Banana-generated image, ensuring the model appearance stays stable across intro, continuation, and closing segments. AI agents handle prompt generation automatically at both the image and video stages, so no manual prompting is required after the initial form submission.
The video walks through every n8n node: webhook trigger, Google Drive image upload, OpenAI-powered prompt generation, file.ai API calls with polling wait nodes, and the final video stitching step. Veo 3.1 Fast pricing is discussed, and the complete workflow blueprint — including all prompts — is available to community members as an importable JSON file. This is a practical production reference for creators and agencies building scalable AI ad pipelines.
📺 Source: Zubair Trabzada | AI Workshop · Published December 12, 2025
🏷️ Format: Hands On Build

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