In this tutorial, we will build a web application that generates images based on text prompts using Stable Diffusion, a deep learning text-to-image model. We’ll utilize Next.js for the frontend/backend and deploy the application on Vercel.
Table of Contents
- Setting up the Next.js Project
- Installing Tailwind CSS
- Creating the Image Generation Form
- Creating the API Route for Stable Diffusion
- Deploying the Application on Vercel
Stable Diffusion is a powerful text-to-image model that can generate highly detailed images based on textual descriptions. In this tutorial, we will build a web application that allows users to input a text prompt and generate an image based on that prompt using Stable Diffusion.
This web application can serve as a great starting point for further experimentation and development of creative tools based on a variety of Stable Diffusion models.
Before we begin, make sure you have the following installed on your machine:
Additionally, you should sign up for a Vercel account if you don’t already have one.
Setting up the Next.js Project
First, let’s create a new Next.js project with TypeScript and ESLint.
This command will create a new Next.js project with TypeScript and ESLint support in a directory called my-project.
Installing Tailwind CSS
Now, we’ll install Tailwind CSS to style our application. Follow these steps:
- Install Tailwind CSS and its peer dependencies:
- Configure your template paths in tailwind.config.js:
- Add the Tailwind directives to your globals.css file:
- Run the development server:
Your Next.js project is now set up with Tailwind CSS.
Creating the Image Generation Form
Next, let’s create a form for users to input their text prompts. Update your pages/index.tsx file with the following code:
This code creates a form where users can input a text prompt and submit it to generate an image. It also displays a loading spinner while the image is being generated.
Creating the API Route for Stable Diffusion
Now, we’ll create an API route to handle the Stable Diffusion image generation. Create a new file called pages/api/stablediffusion.ts and add the following code:
Make sure to add your Replicate API token in a .env file:
This API route will handle requests from the frontend to generate images using the Stable Diffusion model.
Deploying the Application on Vercel
To deploy the application on Vercel, follow these steps:
- Install the Vercel CLI:
- Log in to your Vercel account via the CLI:
- Run the vercel command in your project directory to deploy the application:
Follow the prompts to link your project to an existing Vercel project or to create a new one. Your application will be deployed on a unique URL, and you’ll be able to access it in your web browser.
You can find the full code for this tutorial on GitHub.
In this tutorial, we have built a web application that generates images based on text prompts using Stable Diffusion. We used Next.js for the frontend, Tailwind CSS for styling, and deployed our application on Vercel. You can now use this application to generate images based on textual descriptions and explore the capabilities of the Stable Diffusion model.
And if you want to test the skills you have learnt in this tutorial, we would like to invite you to join our special Stable Diffusion AI Hackathon! During the 7 days event, you will have a unique opportunity to create a working prototype of an app using Vercel and Stable Diffusion with other like-minded people from all around the world!
Check our AI app page and learn more about AI apps projects created by our community members with Stable Diffusion, ChatGPT and many, many more AI based cutting edge technology! Maybe you will get inspired or maybe you will find a cool solution you would like to improve? Then don;t hesitate to reach out to the team and share with them your input and maybe join them on their journey of building AI based apps!
And we would love to invite you to join the community of creators, builders and innovators and shape the future with the power of AI!