Skip to content

Latest commit

 

History

History
65 lines (47 loc) · 1.91 KB

README.md

File metadata and controls

65 lines (47 loc) · 1.91 KB

Text To Image Generator

This project is a Text-to-Image Generator application built using Python's Tkinter for the graphical user interface (GUI) and the Stable Diffusion model for generating images from text. The app allows users to enter a description, click a button, and generate a corresponding image.

Features

  • Simple and easy-to-use GUI built with Tkinter.
  • Integration with the Stable Diffusion model for high-quality image generation.
  • Ability to save generated images locally.
  • Responsive layout that adjusts based on window size.

Prerequisites

To run this project, you will need:

  • Python 3.7+

  • Create a virtual environment by using this command,

     python -m venv venv
      venv\Scripts\activate

  • Access to a Stable Diffusion API or local model (e.g., via Hugging Face, OpenAI, or another service)

  • The following Python libraries:

    • Tkinter
    • PIL (Pillow for image handling)
    • requests (if using an API for Stable Diffusion)
    • torch (if using a local model)
    • transformers (for handling Stable Diffusion model)

  • Download cuda for fast execution, if not using cuda change the torch_dtype to fp32 to run in cpu

Installation

  1. Clone this repository:

    git clone https://github.com/Sreejith2003/Text_To_Image.git

  2. Install required dependencies:

    pip install -r requirements.txt

  3. Set up Stable Diffusion:

    • If using a local model, download it (e.g., from Hugging Face).
    • If using an API, ensure you have the correct API key and access.

  4. Run the application:

    python main.py

Usage

  1. Open the app and enter a description or text prompt in the input box.
  2. Click the "Generate Image" button.
  3. The generated image will be displayed in the app window.
  4. You can save the image by clicking the "Save" button.

Happy Reading :)