Vheer Automation Skill

Automated image generation using Vheer.com's browser interface.

🌟 Overview

This skill leverages Playwright to automate the text-to-image generation process on Vheer.com. It interacts directly with the web interface, avoiding the need for manual cookie management or complex API reverse-engineering.

🛠 Features

• Headless Generation: Run in the background or in visible mode.
• Dynamic Prompts: Pass any prompt via the command line.
• Automatic Output: Saves the resulting image directly to your local machine.
• Persistent Sessions: Support for User Data Directories to keep you logged in.

🚀 Usage

1. Installation

Ensure you have the required dependencies installed:

python3 -m pip install playwright
playwright install chromium

2. Generating an Image

Run the script with your desired prompt:

python3 scripts/vheer_automation.py "A majestic phoenix rising from the ashes, cinematic lighting"

3. CLI Options

• -o, --output: Specify the output filename (default: vheer_output.png).
• --headful: Run browser in visible mode (useful for debugging).
• --user-data: Path to a browser profile directory (keeps you logged in).

📂 Project Structure

• scripts/vheer_automation.py: The single, unified automation script.
• vheer_output.png: The default location for generated images.

💡 How it Works

The script launches a Chromium instance, navigates to the Vheer text-to-image application, fills the prompt textarea, and triggers the generation. Once the "Processing..." state completes, it takes an element-level screenshot of the final image to bypass blob: URL limitations.