🎨 Lumina AI

This project uses the Instruct-Pix2Pix model from Hugging Face (timbrooks/instruct-pix2pix) to colorize grayscale images. The project provides a Gradio interface that allows users to upload grayscale images and generate colorized versions with a simple click.

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🚀 Features

• ✅ Upload grayscale images for automatic colorization.
• ✅ Real-time inference using the Instruct-Pix2Pix model.
• ✅ User-friendly web interface with Gradio.

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📦 Project Structure

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🛠️ Getting started With

Before running the project, make sure you have the following packages installed:

Poetry install

step 2:-

streamlit run app.py

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🛠️ Requirements

Before running the project, make sure you have the following packages installed:

# Create a virtual environment (optional but recommended)
python3 -m venv pix2pix-env
source pix2pix-env/bin/activate  # On Mac/Linux
# or
pix2pix-env\Scripts\activate     # On Windows

# Install required packages
pip install torch torchvision diffusers gradio pillow

📸 Model Details

1. Model: timbrooks/instruct-pix2pix

2. Task: Image-to-Image Transformation using Natural Language Instructions

3. Optimized for GPU usage (torch.cuda), with fallback to CPU.

📝 Usage

Follow these steps to run the project:

1. Clone the repository:

git clone https://github.com/your-username/pix2pix-colorizer.git
cd pix2pix-colorizer

💻 How It Works

1. Upload a grayscale image.

2. Click on the Submit button.

3. The colorized image will be displayed.