🎨 Text2ImageGen-AI

Text-to-Image Generator using Stable Diffusion v1.5 + Streamlit

A clean, fast and powerful text-to-image generation app built using:

• 🧠 Stable Diffusion v1.5
• ⚡ Diffusers
• 🎨 Streamlit
• 🔥 Torch (CUDA supported)

This project turns natural language prompts into high-quality images.

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🚀 Features

• ✔️ Generate high-quality images from text

• ✔️ Supports SD, SD Turbo, SDXL, Open Source LLMs

• ✔️ Adjustable: Steps, Guidance Scale, Resolution

• ✔️ Live preview in Streamlit

• ✔️ Image download option

• ✔️ Local inference or HuggingFace API

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📂 Project Structure

Text2ImageGen-AI/
│── app.py
│── models/
│     ├── your_model_files_here...
│── samples/
│     ├── sample_prompts.txt
│     ├── demo.png
│── requirements.txt
│── README.md

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## 🛠️ Installation  

pip install -r requirements.txt streamlit run app.py

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## 📘 Sample Prompts  
See `samples/sample_prompts.txt` for high-quality prompts.
Examples:

“Cyberpunk city with neon lights, ultra-detailed, 4K”

“Cute robot learning to paint, Pixar style”

“Ancient temple floating in the clouds, epic lighting”

“Tiger wearing sunglasses on a beach, hyperrealistic”

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## 🧪 Testing  
Run:

streamlit run app.py

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## 📝 License  
MIT License – free for personal & commercial use.

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## 🤝 Contributing  
PRs are welcome.  
Raise an issue if you want GPU acceleration or LangChain integration.

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## ⭐ Show Your Support  
If you like this project, please ⭐ star the repo!