Text2Image Generator

  • Tech Stack: Python, Matplotlib, PyTorch, Diffusers
  • Github URL: Project Link

This project utilizes the DreamShaper XL model for text-to-image generation. Given a text prompt, the model generates an image corresponding to the input text. The project employs the `diffusers` library for efficient generation and utilizes GPU acceleration for faster processing.

Setup Instructions:

  • Ensure you have Python installed on your system.
  • Install the required libraries: 
    pip install matplotlib torch diffusers

Usage:

  • Run the provided script in your Python environment.
  • Enter your desired text prompt when prompted.
  • The script will generate and display the corresponding image.

Note:

  • Ensure you have a CUDA-enabled GPU for faster image generation.
  • Adjust `num_inference_steps` and `guidance_scale` parameters for different image generation settings.
  • For any issues or inquiries, please refer to the documentation of `diffusers` or the respective model documentation.

Some Generated Examples:
Example Image 1 Example Image 2 Example Image 3 Example Image 4