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---
title: Stable Diffusion Image Generator
emoji: 🏢
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.42.2
app_file: src/app.py
pinned: false
license: apache-2.0
short_description: Transform your ideas into artistic masterpieces
---
# 🎨 AI Style Transfer Studio
Transform your ideas into artistic masterpieces using Stable Diffusion with custom style embeddings.
## 🚀 Features
- Multiple pre-trained style embeddings (Dhoni, Mickey Mouse, Balloon, Lion King, Rose Flower)
- Advanced color enhancement technology
- User-friendly Streamlit interface
- Real-time image generation
- Example gallery with style comparisons
## 🛠️ Local Setup
1. Clone the repository:
```bash
git clone https://github.com/yourusername/stable-diffusion-image-generator.git
cd stable-diffusion-image-generator
```
2. Create and activate a virtual environment (recommended):
```bash
python -m venv venv
# On Windows
venv\Scripts\activate
# On Unix or MacOS
source venv/bin/activate
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
4. Run the Streamlit app:
```bash
streamlit run src/app.py
```
The app will open in your default web browser at `http://localhost:8501`
## 🌐 Deploying to Hugging Face Spaces
1. Create a new Space on Hugging Face:
- Go to https://huggingface.co/spaces
- Click "Create new Space"
- Choose "Streamlit" as the SDK
- Set the Space name and visibility
2. Push your code to Hugging Face:
```bash
git add .
git commit -m "Initial commit"
git remote add space https://huggingface.co/spaces/yourusername/your-space-name
git push space main
```
3. The deployment will start automatically. Monitor the build logs on your Space's page.
## 🎯 Usage
1. Enter your creative prompt in the text area
2. Select a style from the available options
3. Click "Generate Artwork"
4. View both the original and color-enhanced versions of your creation
## 📝 Requirements
- Python 3.8+
- CUDA-capable GPU (recommended)
- 8GB+ RAM
## 🔑 Environment Variables
No additional environment variables are required for basic usage.
## 📄 License
This project is licensed under the Apache 2.0 License.
## 🙏 Acknowledgments
- [Stable Diffusion](https://github.com/CompVis/stable-diffusion) for the base model
- [Hugging Face](https://huggingface.co/) for model hosting and Spaces
- [Streamlit](https://streamlit.io/) for the web interface
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