This post is my submission for DEV Education Track: Build Apps with Google AI Studio.
What I Built
I built Face Avatar Generator, a lightweight browser app that transforms an uploaded face photo into a clean, stylized avatar. The app uses Imagen inside Google AI Studio to preserve facial identity while generating a polished, social‑media‑ready avatar.
Here’s the core prompt that powers the app:
"Please create an app that takes an image of a face and generates an identical social media avatar using Imagen."
The goal was to create a simple, fast, and fun tool that demonstrates how easily multimodal inputs and generative outputs can be combined into a single workflow.
Demo
Live App:
https://ai.studio/apps/f70cabcc-b531-4d55-b51a-9813f3569d0d?fullscreenApplet=true
Source Code:
https://github.com/lukeponga-dev/Face-Avatar-Generator
Screenshots:
Video Demo:
My Experience
Working through the Google AI Studio track gave me a much deeper appreciation for how quickly you can turn an idea into a working AI‑powered tool. A few things stood out:
- Prompt design matters more than expected. Small phrasing changes dramatically affected output quality. Adding clarity and constraints made the avatar generation far more consistent.
- Imagen handles identity surprisingly well. It didn’t just apply a filter — it preserved facial structure while generating a stylized avatar.
- The workflow in AI Studio is incredibly smooth. Being able to build, test, and deploy in one place made iteration fast and enjoyable.
- Safety features are built in. It was reassuring to see the platform automatically handle safety checks.
- Even small projects feel complete. Connecting image input → model generation → output display made the app feel polished and usable.
Overall, this track was a fun excuse to build something creative, learn more about Imagen, and ship a working tool quickly.
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