Image Generation with Nano Banana - Python Tutorial
This is an image generation tutorial with Google's new model Gemini 2.5 Flash (aka “Nano Banana”). We will learn how to set up the google‑genai Python SDK, get an API key from Google AI Studio, call the generate_content API with mixed text+image inputs, and create identity‑preserving edits, photorealistic text‑to‑image results, e‑commerce product photos, crisp logo designs, and multi‑image compositions. --- 🔗 *Links* - 📓 Colab Notebook (Code): https://colab.research.google.com/gist/alejandro-ao/655001086bfa662539827ccd6970a928/gemini-flash-image.ipynb - 🚀 Complete AI Engineer Bootcamp: https://aibootcamp.dev - ❤️ Support me: https://link.alejandro-ao.com/l83gNq - 💬 Join the Discord Help Server: https://link.alejandro-ao.com/HrFKZn - ✉️ Channel + AI Engineering Newsletter: https://link.alejandro-ao.com/AIIguB --- 🤓 *Topics Covered* - Gemini 2.5 Flash: image generation overview, Google AI Studio setup, API keys, Python SDK in Colab - Image Generation: text-to-image prompts, mixed media inputs, photorealistic outputs - Editing & Consistency: identity-preserving edits, apparel tweaks, character/sticker grids - Applications: e-commerce product photos, logo/text rendering, multi-image composition, virtual try-on - Best Practices: prompt engineering, repeatability, responsible use (consent, trademarks) --- ⏰ *Timestamps* 0:00:00 - Intro 0:00:54 - What we’ll build + setup overview 0:01:01 - Get API keys in Google AI Studio 0:02:11 - Initialize google‑genai client in Colab 0:03:21 - Identity‑preserving photo settings 0:06:44 - Outfit/color changes and subtle edits 0:07:48 - Character stickers/cartoon grid 0:08:43 - Text‑to‑image from scratch 0:11:20 - E‑commerce product photos 0:12:27 - Logo generation + T‑shirt overlay 0:15:04 - Virtual try‑on (dress transfer)
