supermaker-ai-image-master-2

A Python library designed to showcase the capabilities of supermaker-ai-image-master-2 and facilitate seamless integration with the Supermaker AI Image platform. This package provides a simplified interface for interacting with image generation and manipulation features.

Installation

To install the supermaker-ai-image-master-2 package, use pip: bash pip install supermaker-ai-image-master-2

Basic Usage

Here are a few examples demonstrating how to use the supermaker-ai-image-master-2 package:

1. Generating a Simple Image: python from supermaker_ai_image_master_2 import ImageGenerator

generator = ImageGenerator() image_path = generator.generate_image(prompt="A majestic wolf howling at the moon")

print(f"Image generated at: {image_path}")

This example utilizes the ImageGenerator class to generate an image based on a simple text prompt. The generated image will be saved to the specified path.

2. Applying a Filter to an Existing Image: python from supermaker_ai_image_master_2 import ImageEditor

editor = ImageEditor() edited_image_path = editor.apply_filter(image_path="path/to/your/image.jpg", filter_type="sepia")

print(f"Edited image saved at: {edited_image_path}")

This example demonstrates how to apply a "sepia" filter to an existing image using the ImageEditor class. Replace "path/to/your/image.jpg" with the actual path to your image file.

3. Creating a Thumbnail of an Image: python from supermaker_ai_image_master_2 import ImageProcessor

processor = ImageProcessor() thumbnail_path = processor.create_thumbnail(image_path="path/to/your/image.jpg", size=(128, 128))

print(f"Thumbnail created at: {thumbnail_path}")

This example showcases the creation of a thumbnail from an existing image using the ImageProcessor class. The thumbnail will be resized to 128x128 pixels. Again, replace "path/to/your/image.jpg" with the correct path to your image.

4. Generating Multiple Images with Variations: python from supermaker_ai_image_master_2 import ImageGenerator

generator = ImageGenerator() image_paths = generator.generate_variations(prompt="A futuristic cityscape", num_images=3)

for i, path in enumerate(image_paths): print(f"Image {i+1} generated at: {path}")

This example demonstrates generating multiple variations of an image based on the given prompt, creating three different images of a futuristic cityscape.

5. Resizing an Image to Specific Dimensions: python from supermaker_ai_image_master_2 import ImageProcessor

processor = ImageProcessor() resized_image_path = processor.resize_image(image_path="path/to/your/image.jpg", width=800, height=600)

print(f"Resized image saved at: {resized_image_path}")

This example demonstrates how to resize an existing image to a specific width and height (800x600 pixels in this case).

Features

• Image Generation: Generate images from text prompts.
• Image Filtering: Apply various filters to existing images (e.g., sepia, grayscale).
• Image Resizing: Resize images to specified dimensions.
• Thumbnail Creation: Generate thumbnails of images.
• Variation Generation: Create multiple image variations based on a single prompt.
• Simplified API: Provides an easy-to-use interface for interacting with image processing functionalities.

License

MIT License

This project is a gateway to the supermaker-ai-image-master-2 ecosystem. For advanced features and full capabilities, please visit: https://supermaker.ai/image/