/TextToImage-LLM-Stablediffusion-Torch

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

AI Text-to-Image Generator

Welcome to the AI Text-to-Image Generator project! This library utilizes Hugging Face's Transformers and Diffusers to create stunning images from textual descriptions.

Overview

Text-to-image generation is a fascinating area within AI. This project harnesses the power of Transformers and Diffusers, two cutting-edge models from Hugging Face, to convert text descriptions into high-quality images.

Features

  • State-of-the-art AI models: We use Hugging Face's Transformers and Diffusers, known for their exceptional performance in text and image generation tasks.

  • Easy-to-use API: Generate images from text with just a few lines of Python code.

  • High-quality results: Create detailed and realistic images that match your textual descriptions.

Getting Started

Prerequisites

Before using this library, make sure you have the following prerequisites:

  • Python 3.7+
  • Pip package manager

Installation

To get started, clone this repository:

git clone https://github.com/mrnithish/AI-LLM-Huggingface.git

Make sure you have the required Python environment set up and the necessary libraries installed. You can install the required libraries using pip:

pip install transformers diffusers -q

Usage

You can use this AI text-to-image generator by following these steps:

  1. Initialize the generator.
  2. Provide a textual description.
  3. Generate an image from the text.
  4. Save or display the resulting image.

A simple Python code snippet to get you started:

from text_to_image import TextToImageGenerator

# Initialize the generator
generator = TextToImageGenerator()

# Generate an image from text
image = generator.generate_image("A beautiful sunset over the mountains.")

# Save or display the image as needed
image.save("output_image.jpg")

For more details and advanced usage, please refer to the documentation.

License

This project is open-source and is released under the Apache License.

Acknowledgments

This project leverages Hugging Face's Transformers and Diffusers models, with a special thanks for their contributions to the AI community.

Contributing

We welcome contributions! If you'd like to contribute to this project, please read our contribution guidelines.