Metadata-Version: 2.4
Name: ai-baby-generator
Version: 1767667.153.845
Summary: High-quality integration for https://supermaker.ai/image/ai-baby-generator/
Home-page: https://supermaker.ai/image/ai-baby-generator/
Author: SuperMaker
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python
Dynamic: summary

# ai-baby-generator

A Python library designed to demonstrate and integrate with the ai-baby-generator service offered by Supermaker. This package provides a convenient way to programmatically interact with the AI baby generation features.

## Installation

To install the `ai-baby-generator` package, use pip:
bash
pip install ai-baby-generator

## Basic Usage

Here are a few examples demonstrating how to use the `ai-baby-generator` library:

**1. Generating a Baby Image with Default Settings:**

This example shows the simplest way to generate a baby image using the default settings.  Note that this is a placeholder, and the actual implementation will depend on the API offered by Supermaker.
python
from ai_baby_generator import BabyGenerator

generator = BabyGenerator()
try:
    baby_image = generator.generate_baby() # Example function name
    # Save or display the generated image
    baby_image.save("baby_default.png")
    print("Baby image generated successfully!")
except Exception as e:
    print(f"Error generating baby image: {e}")


**2. Specifying Gender and Ethnicity:**

This example demonstrates how to specify the desired gender and ethnicity of the generated baby image.  Again, the actual parameters will depend on the Supermaker API.
python
from ai_baby_generator import BabyGenerator

generator = BabyGenerator()
try:
    baby_image = generator.generate_baby(gender="female", ethnicity="asian") # Example parameters
    # Save or display the generated image
    baby_image.save("baby_female_asian.png")
    print("Baby image generated successfully!")
except Exception as e:
    print(f"Error generating baby image: {e}")

**3. Using Custom Seed for Reproducibility:**

This example shows how to use a custom seed to ensure that the same image is generated each time the function is called with the same seed. This is useful for testing and reproducibility.
python
from ai_baby_generator import BabyGenerator

generator = BabyGenerator()
seed = 12345
try:
    baby_image = generator.generate_baby(seed=seed) # Example parameter
    # Save or display the generated image
    baby_image.save("baby_seed.png")
    print("Baby image generated successfully!")

    # Generate the same image again
    baby_image_again = generator.generate_baby(seed=seed) # Example parameter
    baby_image_again.save("baby_seed_again.png")
    print("Baby image generated again with the same seed.")

except Exception as e:
    print(f"Error generating baby image: {e}")


**4. Handling API Errors:**

This example illustrates how to handle potential errors that may occur when interacting with the Supermaker API.
python
from ai_baby_generator import BabyGenerator

generator = BabyGenerator()
try:
    baby_image = generator.generate_baby(invalid_parameter="some_value") # Intentionally triggering an error
except Exception as e:
    print(f"API Error: {e}")
    print("Please check your parameters and try again.")

## Features

*   Easy integration with the Supermaker ai-baby-generator service.
*   Simple function calls to generate baby images.
*   Options to customize the generated image (e.g., gender, ethnicity).
*   Error handling for robust applications.
*   Seed-based generation for reproducibility.
*   Abstraction of complex API interactions.

## License

MIT License

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