https://github.com/devfreaked/dall-e-clone
DALL-E Clone, designed to generate images from textual descriptions. It is based on the GPT (Generative Pre-trained Transformer) architecture, specifically optimized for the creation of images.
https://github.com/devfreaked/dall-e-clone
ai dall-e dalle-clone openai openai-api reactjs
Last synced: about 1 month ago
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DALL-E Clone, designed to generate images from textual descriptions. It is based on the GPT (Generative Pre-trained Transformer) architecture, specifically optimized for the creation of images.
- Host: GitHub
- URL: https://github.com/devfreaked/dall-e-clone
- Owner: DevFreAkeD
- Created: 2024-06-07T02:45:27.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-23T15:57:27.000Z (almost 2 years ago)
- Last Synced: 2025-08-23T05:39:26.760Z (10 months ago)
- Topics: ai, dall-e, dalle-clone, openai, openai-api, reactjs
- Language: JavaScript
- Homepage: https://dalle-replica.netlify.app/
- Size: 549 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 
## 📃 About
DALL-E Clone, designed to generate images from textual descriptions. It is based on the GPT (Generative Pre-trained Transformer) architecture, specifically optimized for the creation of images.
Live Link: Here
## ⚙️ Tech Used
Languages/Libraries/Frameworks/Tools/etc used to develop CoDevCompile.
1. JavaScript
2. React + Vite
3. TailwindCSS
4. OpenAI API
5. ExpressJS
## > How To Run
To run **CoDevCompile**. you'll generally have to follow these steps:
1. **Clone this repository:** `git clone https://github.com/DevFreAkeD/Dall-E-Clone.git`
2. **Navigate to repository directory:** `cd Dall-E-Clone`
3. **Navigate to server directory:** `cd server`
- Install Dependencies: `npm install`
- Create a `.env` file. Replace `OPENAI_API_KEY` with your OPENAI API Key.
- Run Backend server: `node index.js`
- Access the Server: Open a web browser and navigate to `http://localhost:8080`.
4. **Open a New Terminal and Navigate to client directory:** `cd client`
- Install Dependencies: `npm install`
- Start the Development Server: `npm run dev`
- Access the Application: Once the development server is running, open a web browser and navigate to `http://localhost:5173` to view the application.
## 📷 Screenshots

