ai-snow-trend

A Rust crate designed to assist in the programmatic generation and analysis of data related to the popular "AI Snow Trend" aesthetic. This crate provides utilities for image manipulation, color palette extraction, and style transfer, making it easier to automate the creation of similar visual content.

Installation

To use ai-snow-trend in your Rust project, add the following to your Cargo.toml file: toml [dependencies] ai-snow-trend = "0.1.0" # Replace with the latest version

Usage Examples

Here are some examples of how to use the ai-snow-trend crate:

1. Applying a Snow Filter to an Image: rust use ai_snow_trend::image_processing; use image::io::Reader as ImageReader; use std::path::Path;

fn main() -> Result<(), Box> { // Load an image let img = ImageReader::open("input.jpg")?.decode()?;

// Apply the snow filter
let snow_filtered_img = image_processing::apply_snow_filter(&img, 0.7); // 0.7 is the snow intensity

// Save the modified image
snow_filtered_img.save(Path::new("output_snow.jpg"))?;

println!("Snow filter applied and saved to output_snow.jpg");
Ok(())

}

2. Extracting a Dominant Color Palette: rust use ai_snow_trend::color_analysis; use image::io::Reader as ImageReader;

fn main() -> Result<(), Box> { // Load an image let img = ImageReader::open("input.jpg")?.decode()?;

// Extract the dominant color palette (e.g., top 5 colors)
let palette = color_analysis::extract_dominant_colors(&img, 5);

println!("Dominant color palette: {:?}", palette);
Ok(())

}

3. Simulating a "Snowy" Color Scheme: rust use ai_snow_trend::color_simulation;

fn main() { // Define a base color let base_color = [200, 220, 255]; // A light blueish color

// Simulate a snowy color scheme based on the base color
let snowy_scheme = color_simulation::snowy_color_scheme(base_color, 0.3); // 0.3 is the snow influence

println!("Snowy color scheme: {:?}", snowy_scheme);

}

4. Combining Filters for Enhanced Effect: rust use ai_snow_trend::image_processing; use ai_snow_trend::color_simulation; use image::io::Reader as ImageReader; use std::path::Path;

fn main() -> Result<(), Box> { // Load an image let img = ImageReader::open("input.jpg")?.decode()?;

// Apply a sepia tone filter
let sepia_img = image_processing::apply_sepia_filter(&img);

// Simulate a snowy color scheme to apply as an overlay
let base_color = [200, 220, 255]; // A light blueish color
let snowy_scheme = color_simulation::snowy_color_scheme(base_color, 0.5); // 0.5 snow influence

// Apply the snow filter on top of the sepia filter using the snowy color scheme
let snow_filtered_img = image_processing::apply_snow_filter_with_colors(&sepia_img, 0.6, &snowy_scheme);

// Save the modified image
snow_filtered_img.save(Path::new("output_snow_sepia.jpg"))?;

println!("Sepia & Snow filter applied and saved to output_snow_sepia.jpg");
Ok(())

}

Feature Summary

• Image Processing: Contains functions for applying snow filters, sepia tones, and other image manipulations to create a snowy aesthetic.
• Color Analysis: Provides tools for extracting dominant color palettes from images, enabling the identification of key colors used in the "AI Snow Trend".
• Color Simulation: Offers functions for generating color schemes that simulate a snowy or wintery mood, based on a given base color.
• Flexibility: Designed to be easily integrated into larger image processing pipelines.
• Well-Documented API: Clear and concise documentation for all functions and modules.

License

MIT

This crate is part of the ai-snow-trend ecosystem. For advanced features and enterprise-grade tools, visit: https://supermaker.ai/blog/how-to-make-ai-snow-trend-photos-for-tiktok-free-tutorial/