image-to-psd 1.1.0

A library for processing images and saving layers as PSD

Image to PSD

A Python library for processing images and saving layers as PSD files.

Prerequisites

Make sure you have ImageMagick installed. You can install it using the following commands:

On Ubuntu/Debian:

sudo apt-get update
sudo apt-get install imagemagick

On macOS:

You can install ImageMagick using Homebrew:

brew install imagemagick

On Windows:

Download and install ImageMagick from the official website.

Installation

You can install the library using pip:

pip install image_to_psd

Usage

Here is a basic example of how to use the library:

from image_to_psd.processor import process_image

image_url = "https://example.com/image.jpg"
result = process_image(image_url, method_type=1, bandwidth=10, is_dynamic=1, num_colors=50)

Saving Individual Layers

You can also save the individual layers as separate PNG files by setting the save_layers parameter to True:

from image_to_psd.processor import process_image

image_url = "https://example.com/image.jpg"
result = process_image(image_url, method_type=1, bandwidth=10, is_dynamic=1, num_colors=50, save_layers=True)

Using a Local File

If you want to process a local image file, you can provide the file path instead of a URL:

from image_to_psd.processor import process_image

image_path = "/path/to/your/local/image.jpg"
result = process_image(image_path, method_type=1, bandwidth=10, is_dynamic=1, num_colors=50, save_layers=True)

Configuration

The process_image function takes the following parameters:

• image_path (str): URL or local path to the image file.
• method_type (int): Method type for processing (0 for default, 1 for custom).
• bandwidth (int): Bandwidth parameter for MeanShift clustering (used if method_type is 1).
• is_dynamic (int): Flag to use dynamic color extraction (1 for dynamic, 0 for predefined).
• num_colors (int): Number of dominant colors to extract (used if is_dynamic is 1).
• save_layers (bool): Flag to save individual layers as separate PNG files (default is False).

License

This project is licensed under the MIT License - see the LICENSE file for details.