🎨 AdNova-Studio

AdNova-Studio is an AI-powered Streamlit application that helps you generate high-quality product advertisements from text prompts or images using Bria AI APIs.

It enables creators, marketers, and developers to quickly produce studio-grade visuals, lifestyle shots, and ad creatives without manual design work.

🌟 Features 🖼️ Text-to-Image Generation Generate high-quality product visuals from prompts 🏠 Lifestyle Shot Generation Place products into realistic environments 🧩 Generative Fill Modify or enhance parts of an existing image 🧼 Erase Elements Remove unwanted objects or backgrounds ✨ Prompt Enhancement (AI-powered) Automatically improve prompts for better outputs 🎯 Ad-Ready Outputs Optimized for marketing and product showcase use-cases 🎮 Interactive UI (Streamlit) Clean and intuitive user interface 💾 Download Generated Images 🧠 How It Works

AdNova-Studio integrates with Bria AI APIs to perform:

Text → Image generation Image → Image editing Context-aware image enhancement

The app processes user input and sends optimized requests to Bria APIs, returning production-quality visuals.

📁 Local folder name

The project directory should be AdNova-Studio. If yours is still AdNova-APP, close Cursor/VS Code and any terminals using that folder, then rename it:

…\PROJECTS\AdNova-APP → …\PROJECTS\AdNova-Studio

Re-open the project from the new path. The included venv uses path-agnostic activation (activate.bat / activate), so it keeps working after the rename.

⚙️ Installation

1. Clone the repository git clone https://github.com/yourusername/AdNova-Studio.git cd adnova-studio
2. Create virtual environment python -m venv venv Activate:

Windows

venv\Scripts\activate

Mac/Linux

source venv/bin/activate 3. Install dependencies pip install -r requirements.txt 4. Setup environment variables

Create a .env file:

BRIA_API_KEY=your_api_key_here 5. Run the app streamlit run app.py 💡 Usage Guide 🖼️ Generate Image Enter a prompt Click Generate Images

Example:

A luxury perfume bottle on a marble surface, soft lighting, high-end product photography 🏠 Lifestyle Shot Upload product image Provide environment description

Example:

Place the smartphone on a modern desk with a laptop and coffee, soft natural lighting 🧩 Generative Fill Upload image Describe modification

Example:

Replace background with a wooden desk and soft daylight 🧼 Erase Elements Upload image Remove unwanted parts

Example:

Remove background clutter and keep only the product 🎯 Best Prompt Practices

Use structured prompts:

[object] + [environment] + [lighting] + [style]

Example:

A smartwatch on a wooden table, natural sunlight, minimal aesthetic, product photography ⚠️ Notes & Limitations Some advanced parameters (e.g. enhance_image, content_moderation) may cause API errors depending on your Bria plan Keep payload minimal for stable results Always validate your API key 🔐 Security

⚠️ Never expose your API key publicly If leaked, regenerate it immediately from the Bria dashboard

🤝 Contributing

Contributions are welcome!

Fork the repository Create a branch Make your changes Submit a Pull Request 📄 License

This project is licensed under the MIT License

🙏 Acknowledgments Bria AI for image generation APIs Streamlit for the UI framework 🚀 Future Improvements 🎯 Auto ad copy + CTA generation 🖼️ Batch image generation 📱 Social media ad templates 💰 SaaS deployment ⭐ If you like this project

Give it a ⭐ on GitHub — it helps a lot!