Initialize the image analyzer with available models.

Initialize the video generator.

Clean up temporary file safely.

Create a temporary image file from PIL Image. Returns the path to the temporary file.

Add a prompt to favorites.

Perform comprehensive image analysis using available models. Args: image_path (str): Path to the image file

Analyze what category of content a prompt represents.

Analyze prompt complexity and automatically suggest optimal SD Forge parameters.

Analyze uploaded image and return caption and detailed description.

Automatically open the web browser to the specified URL after a delay. Args: url (str): The URL to open in the browser d

Check if a web browser is available on the system. Returns: bool: True if browser is available, False otherwise

Clean up generated text by removing artifacts and formatting issues.

Clear conversation history.

Convenience function to detect RTX GPUs

Enhance a prompt by incorporating additional keywords.

Export conversation history as JSON.

Extract individual sections from a structured prompt.

Format a prompt for export with metadata.

Interface function for generating content.

Generate style variations of a base prompt.

Generate video from image and prompt with CFG=1. Args: image_path (str): Path to the source image pr

Generate a dynamic video prompt using WAN 2.1 format (Subject + Scene + Motion). Args: analysis_result (Dict[str

Generate video prompt from uploaded image.

Return a comprehensive list of all compatible arguments and parameters. Returns: str: Formatted string containing all compatible

Get example prompt for the selected content type.

Get current status of video generation system. Returns: Dict[str, Any]: System status information

Convenience function to get GPU recommendations

Return configuration for all supported models. Returns: dict: Dictionary containing model configurations

Get optimal parameters for video generation based on prompt and image analysis. CFG scale is always set to 1.0. Args

Get a human-readable explanation of the recommended parameters. Args: params: The recommended parameters

Get most popular templates by usage count.

Get library statistics.

Initialize library with default templates.

Interface function for loading models.

Open browser with fallback options if default browser fails. Args: url (str): The URL to open in the browser

Convenience function for quick analysis.

Remove a prompt from favorites.

Save a generated prompt to the library.

Search templates by query and optionally category.

Suggest improvements for a prompt based on analysis.

Suggest improvements to enhance prompt effectiveness. Args: prompt: The prompt to analyze R

Test API analyze function

Test API parameter generation

Test backward compatibility functions

Test batch analysis

Test caching functionality

Test prompt comparison

Test analysis of complex prompts

Test content type detection

Test convenience functions

Test handling of empty prompts

Test report export

Test handling of mixed case

Test handling of numeric content

Test parameter generation

Test quick analysis function

Test analysis of simple prompts

Test handling of special characters

Test improvement suggestions

Test technical category detection

Test user parameter overrides

Test handling of very long prompts

Create the UI for the chatbot extension.

Validate provided arguments against compatible arguments. Args: args_dict (dict): Dictionary of arguments to validate

Validate video generation parameters. Args: params (Dict[str, Any]): Parameters to validate

Validate if a generated prompt follows the expected structure.