I Built an Automated AI Asset Factory and It's Insane скачать в хорошем качестве

I Built an Automated AI Asset Factory and It's Insane

Nano Banana Pro is officially here, and it is rewriting the rulebook for AI image generation. In this video, I dive deep into the 5 groundbreaking features of the new Nano Banana Pro model—features that were flat-out impossible before now. We aren't just talking about better pixels; we are talking about Multi-Object Stitching, Native Google Search Grounding, and Next-Gen OCR that actually spells correctly. But raw power isn't enough. To create serious business value, you need automation. That is why I am walking you through how to build a completely automated AI Asset Factory using n8n. I’ll show you how to combine these new AI capabilities with n8n workflows to generate localized, real-time, and perfectly stitched visual assets at scale. 🔥 What’s Inside: 00:00 Introduction & Overview 00:12 Nano Banana Pro: Game-Changing Features 00:14 Feature 1: Multi-Object Stitching 00:23 Feature 2: Native Grounding with Google Search 00:36 Feature 3: Next-Gen OCR Text Rendering 00:44 Feature 4: Instant Localization 00:51 Feature 5: True Reasoning & Thinking Mode 01:05 Business Value & Automation with n8n 01:27 Demo: Automated Asset Factory in n8n 01:44 Scenario 1: Grounding with Real-Time Data 05:08 Scenario 2: Multi-Object Stitching Demo 09:27 Scenario 3: Advanced OCR & Text Rendering 11:15 Scenario 4: Localization in Action 12:04 Automating Workflows & JSON Setup 14:52 Conclusion & Next Steps Multi-Object Stitching: How to blend up to 14 reference images (watches, bags, humans) into one coherent scene. Google Search Grounding: Generating images that reflect real-time weather and live data (e.g., Sydney vs. Chicago). Perfect Text Rendering (OCR): Creating ID cards and badges with zero spelling errors. AI Localization: Instantly translating visual text from English to Spanish (or any language). n8n Automation Guide: A step-by-step breakdown of the JSON and HTTP requests needed to automate this via the Gemini API. Thanks for watching!