elliottbarnes / text_to_image_w_stable_diffusion

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Text-to-Image Generation with Stable Diffusion πŸ–ΌοΈπŸŒŒ

Welcome to the Text-to-Image Generation project powered by Stable Diffusion and Streamlit! This project allows you to generate stunning images from text prompts using advanced AI models.

πŸš€ Quick Start

  1. Clone the repository:

    git clone https://github.com/elliottbarnes/text_to_image_w_stable_diffusion.git
    cd text_to_image_w_stable_diffusion
  2. Setup Environment:

    • Create a new conda environment (optional but recommended)
    conda create -n text-to-image python=3.10
    conda activate text-to-image
    • Install dependencies:
    pip install -r requirements.txt
  3. Run the Streamlit App:

streamlit run generate_image_streamlit.py
  1. Generate Images:
  • Enter a text prompt in the Streamlit interface and click "Generate".

πŸ–₯️ Project Structure

  • generate_image_streamlit.py: Main Streamlit application script for generating images.
  • generate_image.py: Backend script for image generation using Stable Diffusion.
  • README.md: You are here! πŸ˜‰

🌟 Features

  • Easy-to-Use Interface: Simply input your text prompt and let the AI do the rest!
  • Powered by Stable Diffusion: State-of-the-art AI model for realistic and high-quality image synthesis.
  • Streamlit Integration: Real-time image generation with Streamlit for interactive use.

πŸ› οΈ Technologies Used

  • Stable Diffusion: Advanced AI model for image generation.
  • Streamlit: Open-source app framework for ML/AI applications.
  • PyTorch: Deep learning framework for neural network training and inference.

🀝 Contributing

  • Contributions are welcome! Feel free to fork this repository, open issues, and submit pull requests to help improve this project.

πŸ“„ License

  • This project is licensed under the MIT License - see the LICENSE for details.

πŸ“ž Contact

  • Have feedback, suggestions, or questions? Reach out:
  • Twitter: @elliottbarness

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License:MIT License


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