This article walks through the architecture, open‑source project, and step‑by‑step deployment of NanoBananaPro‑based AI image generation for creating complete PPT presentations, including Docker setup, prompt design, and a custom implementation on the Baidu Miaoda platform.
This article walks through the complete workflow for creating a WeChat Spring Festival red‑envelope cover with the NanoBananaPro AI image model, including prompt design, image generation, resizing via custom Skills, uploading to the WeChat platform, and publishing the cover for use.
The author explains how they used the AI Skills platform and the NanoBananaPro image‑generation model to design and publish four WeChat red‑envelope covers, limit them to 1,200 copies, and share the step‑by‑step process, design ideas, and why the tool lowers the creation barrier for anyone.
This tutorial walks through using Google’s Gemini‑based NanoBananaPro model to generate LINE‑style Q‑version stickers, split the images with an online tool, and submit them to the WeChat Sticker Open Platform, covering prompt design, copyright considerations, JSON specifications, and review feedback.
This article introduces Google DeepMind's NanoBananaPro model, details its advanced text rendering, 4K resolution and multi‑entity consistency, compares four access methods (student account, API proxy, Taobao services, AI product bundles), and provides step‑by‑step prompt engineering examples and visual results.
