/Stable_diffusion

Leverages the Stable Diffusion model to generate images from text prompts.

Primary LanguageJupyter Notebook

Stable Diffusion Image Generator

Description

This project leverages the Stable Diffusion model to generate images from text prompts. It uses transformers and diffusers libraries, and features a user-friendly web interface created with Gradio. The entire project is implemented on Google Colab for easy access and execution.

Features

  • Text-to-image generation using Stable Diffusion
  • Web-based user interface powered by Gradio
  • Easy-to-use Google Colab implementation

Installation and Usage

To run this project:

  1. Open the Google Colab notebook
  2. Run all cells in order
  3. Access the Gradio interface via the provided link
  4. Enter your text prompt in the input field
  5. Click 'Generate' to create your image
  6. View and download the generated image

Usage

  1. Enter your text prompt in the input field
  2. Adjust any available parameters (if applicable)
  3. Click 'Generate' to create your image
  4. View and download the generated image

Technologies Used

  • Python
  • Transformers
  • Diffusers
  • Stable Diffusion
  • Gradio
  • Google Colab

Contributing

Contributions to improve the project are welcome. Please follow these steps:

  1. Fork the repository
  2. Create a new branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Project Link: https://github.com/ombhinav/Stable_diffusion

Acknowledgements