AI GIFs Demo

AI GIFs is a powerful application that lets you generate GIFs using advanced AI techniques. Whether you’re looking for a unique meme, a captivating animation, or just exploring the boundaries of AI-generated content, AI GIFs has got you covered.

It was built from the official Next.js + TailwindCSS starter.

This repo, while showcasing a specific AI App, is meant to serve as a starter. You can take it, modify the model on the backend (explore the numerous options Replicate offers), and voilà, you have a new app!

AI App Production Checklist

I do a quick walkthrouigh of this here.

Below are steps taken during the app’s development. They serve as a general guideline when building an AI-based application.

App Architecture:
The app architecture is straightforward. Users input a prompt via a form. Upon submission, a backend route handler is triggered, which then calls the AI model and returns the result.

AI Model Hosting:
We’ve utilized Replicate for hosting our AI model. This eliminates the need for individual deployment, handling inference, scaling, and the often cumbersome devops-related tasks.


  • Prompt Suggestions: Leveraging libraries like promptmaker can pre-populate the form, offering users creative ideas.

  • Loading State: To enhance user experience while awaiting results, we implemented a loading GIF, aligning with the theme of our app.

  • Safety Checks: For initial content filtering, an older library named bad-words was employed. For more in-depth content checks, consider modern libraries such as nsfw-filter.

Rate Limits:
Before launching, especially for free apps, it’s crucial to consider potential costs associated with serverless architectures. To avoid unexpected bills, we’ve integrated rate limits using Upstash, ensuring a controlled request flow. The setup is hassle-free and efficient.

Now, with everything in place, it’s tempting to invite users immediately. However, always ensure preventive measures are established to maintain budget and performance.

The site is deploy on Vercel.

Getting Started

Install Dependencies:

npm install
# or
# or
pnpm install
# or
bun install

This repository utilizes Replicate for model inference and Upstash for rate limiting. Ensure you have accounts set up for both services.

Environment Variables to Add:

Create a .env.local file and add these variables.


Run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository – your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

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