Metadata-Version: 2.4
Name: ai-snow-trend
Version: 1768557.14.476
Summary: High-quality integration for https://supermaker.ai/blog/how-to-make-ai-snow-trend-photos-for-tiktok-free-tutorial/
Home-page: https://supermaker.ai/blog/how-to-make-ai-snow-trend-photos-for-tiktok-free-tutorial/
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-snow-trend

The `ai-snow-trend` package provides a simplified interface for exploring and generating AI-powered snow trend images, inspired by the popular trends showcased at https://supermaker.ai/blog/how-to-make-ai-snow-trend-photos-for-tiktok-free-tutorial/. This library allows users to quickly experiment with basic snow trend image creation using AI.

## Installation

You can install the `ai-snow-trend` package using pip:
bash
pip install ai-snow-trend

## Basic Usage

Here are a few examples demonstrating the basic functionalities of the `ai-snow-trend` package:

**1. Generating a Basic Snow Trend Image:**
python
from ai_snow_trend import SnowTrendGenerator

generator = SnowTrendGenerator()
image_path = generator.generate_snow_image(prompt="A cat wearing a winter hat in a snowy forest")
print(f"Snow image generated and saved to: {image_path}")

This example creates a snow trend image based on the provided prompt and saves it to a file.

**2. Adjusting Snow Intensity:**
python
from ai_snow_trend import SnowTrendGenerator

generator = SnowTrendGenerator()
image_path = generator.generate_snow_image(prompt="A cozy cabin in the mountains", snow_intensity=0.7)
print(f"Snow image generated with adjusted intensity and saved to: {image_path}")

This demonstrates how to control the intensity of the snow effect in the generated image. The `snow_intensity` parameter accepts a value between 0 and 1.

**3. Applying a Winter Filter:**
python
from ai_snow_trend import SnowTrendGenerator

generator = SnowTrendGenerator()
image_path = generator.generate_snow_image(prompt="A futuristic city covered in snow", winter_filter=True)
print(f"Snow image generated with winter filter and saved to: {image_path}")

This example applies a winter-themed filter to enhance the overall aesthetic of the snow trend image.

**4. Using a Custom Output Path:**
python
from ai_snow_trend import SnowTrendGenerator

generator = SnowTrendGenerator()
image_path = generator.generate_snow_image(prompt="A portrait of a person skiing", output_path="my_snow_images/ski_portrait.png")
print(f"Snow image generated and saved to: {image_path}")

This shows how to specify a custom location and filename for the generated image.

**5. Handling Errors:**
python
from ai_snow_trend import SnowTrendGenerator
from ai_snow_trend.exceptions import GenerationError

generator = SnowTrendGenerator()
try:
    image_path = generator.generate_snow_image(prompt="") # Empty prompt
    print(f"Snow image generated and saved to: {image_path}")
except GenerationError as e:
    print(f"Error generating image: {e}")


This example demonstrates basic error handling using the `GenerationError` exception.

## Feature List

*   **Simple Image Generation:** Easily create snow trend images from textual prompts.
*   **Snow Intensity Control:** Adjust the amount of snow in the generated images.
*   **Winter Filter Application:** Enhance the images with a winter-themed aesthetic.
*   **Custom Output Path:** Specify the location and filename for saving generated images.
*   **Error Handling:** Robust error handling for common generation issues.
*   **Prompt Validation:** Checks prompts for basic validity.

## License

MIT License

This project is a gateway to the ai-snow-trend ecosystem. For advanced features and full capabilities, please visit: https://supermaker.ai/blog/how-to-make-ai-snow-trend-photos-for-tiktok-free-tutorial/
