Hugging Face's logo

Spaces:
sumityadav329
/
text-to-image-webapp
Running

App Files Community
text-to-image-webapp / README.md
sumityadav329's picture
sumityadav329
Update README.md
28b4515 verified
preview code
|
raw
history blame contribute delete
2.89 kB

A newer version of the Gradio SDK is available: 5.36.2

Upgrade
metadata
title: Img Genwebapp
emoji: 🏃
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 5.7.1
app_file: app.py
pinned: true
license: mit
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/65ef3fe48e52c3db9036ddd3/k_I6gMDgUzIoIegJECJ9r.jpeg

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

🎨 AI Image Generator Web App

Welcome to the AI Image Generator web application! This app allows you to generate stunning photorealistic images from text prompts using cutting-edge AI technology.

🌐 Live Demo

Check out the live version of the app hosted on Hugging Face Spaces:
AI Image Generator

🚀 Features

  • Text-to-Image Generation: Generate high-quality, photorealistic images from detailed prompts.
  • Enhanced Realism: Automatically enriches prompts for better results.
  • Error Handling: Robust handling for empty prompts or API issues.
  • Streamlined UI: Simple and elegant interface powered by Gradio.
  • Status Feedback: Displays generation status to keep you informed.

🛠️ How It Works

  1. Input Prompt: Enter a detailed description of the image you want to generate. For example:

    • "Photorealistic portrait of a woman in natural light"
    • "Astronaut riding a bike on Mars during sunset"

  2. Generate Image: Click on the ✨ Generate Image button.

  3. View Result: The generated image will appear alongside a status message.

💻 Technologies Used

  • Gradio: For building the interactive web application.
  • Hugging Face Inference API: For accessing the Stable Diffusion model.
  • PIL (Python Imaging Library): For handling and displaying images.

🔗 Repository

This project is version-controlled and hosted on GitHub. It is also integrated with Hugging Face Spaces for seamless updates.
You can clone the repository to explore or contribute to the codebase:

git clone https://github.com/sumityadav329/text-to-image-webapp.git

📜 Requirements

  • Python 3.10+
  • Install dependencies:
    pip install -r requirements.txt
  • Hugging Face Token: Set your HF_TOKEN in a .env file.

⚡ Quick Start

  1. Clone the repository:

    git clone https://github.com/sumityadav329/text-to-image-webapp.git
cd text-to-image-webapp

  2. Install the required packages:

    pip install -r requirements.txt

  3. Run the app locally:

    gradio app.py

  4. Access the app at http://localhost:7860.

❤️ Credits

  • Developer: Sumit Yadav
  • Hosting: Hugging Face Spaces
  • Model: StabilityAI's Stable Diffusion XL

Feel free to fork, modify, or contribute to this project! 😊