Build a Text to Image Generator App with Python

Level: Real World

Your task for today is to create a simple web app that converts text descriptions into AI-generated images using Stable Diffusion — giving beginners hands-on experience with AI image generation in just a few lines of code.

Project Task

Create a text to image generator that:

• Uses Streamlit to create a simple web interface

• Integrates with Stability AI’s API for image generation

• Takes text descriptions from users as input

• Generates images based on the text prompts

• Displays the generated image directly in the browser

• Includes a download button to save images

• Loads API credentials securely from environment variables

• Provides example prompts to help users get started

This project gives you hands-on practice with AI APIs, image generation, web interfaces, and working with binary data — essential skills for building modern AI-powered applications.

Expected Output

The user can enter example prompts such as:

• A cute robot painting a picture
• A futuristic city with flying cars
• A cozy coffee shop on a rainy day

And the program will generate the image and display it on the browser. Here is an example I did:

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Skeleton and Solution

Below you will find both a downloadable skeleton.py file to help you code the project with comment guides and the downloadable solution.py file containing the correct solution.

Get the code skeleton here: