Image Generation App with DALL-E and Huggingface Diffusers

This project is a Streamlit-based web app that enables users to generate AI-generated images using text prompts. The app integrates two powerful image generation models: OpenAI's DALL-E and Huggingface's Diffusion models.

Features

• DALL-E Integration: Generates images using OpenAI's DALL-E model.
• Huggingface Diffusers Integration: Generates images using Huggingface's Stable Diffusion model.
• Simple UI: Intuitive user interface to input text prompts and view generated images.
• CUDA Support: Utilizes GPU for faster image generation using Huggingface's Diffusers.

Setup Instructions

1. Clone the Repository

   git clone https://github.com/shaadclt/Image-Generation-App-DALL-E-Huggingface-Diffusers.git
   cd Image-Generation-App-DALL-E-Huggingface-Diffusers

2. Install Dependencies

   Use the requirements.txt file to install the necessary packages:

   pip install -r requirements.txt

3. Set Up API Keys

   Create a .env file in the root directory and add your OpenAI API key:

   OPENAI_API_KEY=your_openai_api_key

4. Run the App

   Run the Streamlit app:

   streamlit run app.py

5. CUDA Setup (Optional for Diffusers)

   Ensure you have the necessary GPU drivers and libraries for running Stable Diffusion with CUDA. This improves image generation performance.

Usage

1. Select the model you want to use from the sidebar (DALL-E or Huggingface Diffusers).
2. Input your text prompt in the provided field.
3. Click the "Generate Image" button.
4. View the generated image in the app interface.

Contributing

Feel free to contribute by opening issues or submitting pull requests.

License

This project is licensed under the MIT License.