Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/wellingtonmwadali/image-generation-app
AI image generation model built using the MERN (MongoDB, Express.js, React, Node.js) stack.Generate images by providing descriptive text as input, and the model will convert it into meaningful visual representations.
https://github.com/wellingtonmwadali/image-generation-app
express mern mongodb reactjs tailwindcss vite
Last synced: 1 day ago
JSON representation
AI image generation model built using the MERN (MongoDB, Express.js, React, Node.js) stack.Generate images by providing descriptive text as input, and the model will convert it into meaningful visual representations.
- Host: GitHub
- URL: https://github.com/wellingtonmwadali/image-generation-app
- Owner: wellingtonmwadali
- Created: 2023-07-21T11:59:14.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-27T21:24:27.000Z (12 months ago)
- Last Synced: 2024-02-28T17:03:55.752Z (12 months ago)
- Topics: express, mern, mongodb, reactjs, tailwindcss, vite
- Language: JavaScript
- Homepage:
- Size: 21.3 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# AI Image Generation Web App
This AI Image Generation Web App is a cutting-edge platform that allows users to create stunning and imaginative images using the power of artificial intelligence. Built on the MERN stack (MongoDB, Express, React, Node.js) and bundled with Vite for faster performance, this application provides a seamless and user-friendly experience.
## Prerequisites
Before running the application, make sure you have the following prerequisites installed:
- Node.js (v14 or higher)
- MongoDB (v4 or higher)
## Getting Started
1. Clone this repository to your local machine.
2. Install the dependencies by running the following command in the root directory:
```bash
npm install
```
3. Set up environment variables:
- Create a `.env` file in the root directory.
- Add the necessary environment variables for MongoDB connection and any other sensitive data.
4. Start the development server:
```bash
npm run dev
```
5. Open your web browser and navigate to `http://localhost:3000` to access the application.
## Folder Structure
The project's folder structure is organized as follows:
- `client`: Contains the frontend code built with React and Vite.
- `server`: Includes the backend code using Express and MongoDB for handling API requests.
## Contributing
We welcome contributions to improve this AI Image Generation Web App. If you find any issues or have ideas for enhancements, feel free to submit a pull request.
## License
This project is licensed under the [MIT License](LICENSE).
---
Happy image generating! 🎨🌟