memer.rs

A Rust CLI tool for generating memes using OpenAI’s DALL-E 3 API.

Description

memer.rs is a command-line interface that allows you to generate meme images by simply providing a text query. The tool uses OpenAI’s DALL-E 3 model to create internet-style memes with bold, impact font text and high-contrast visuals.

Features

• Fast meme generation using DALL-E 3
• Automatic UUID-based file organization
• Optimized for classic meme format (top/bottom text, bold styling)
• Async/await for efficient API calls
• Configurable output directories

Installation

Prerequisites

• Rust (latest stable version)
• OpenAI API key

From Source

git clone https://github.com/Programmer-RD-AI/memer.rs.git
cd memer.rs
cargo build --release

From Crates.io

cargo install memer-rs

Setup

1. Get an OpenAI API key from OpenAI Platform
2. Create a .env file in the project root:

OPENAI_API_KEY=your_api_key_here

Usage

Basic Usage

memer --query "when you finally understand Rust ownership"

Custom Output Directory

memer --query "debugging at 3am" --folder my_memes

Help

memer --help

Options

• -q, --query <QUERY>: The meme description/topic (required)
• -f, --folder <FOLDER>: Output directory (default: random UUID)

Examples

# Generate a programming meme
memer -q "when your code works on the first try"

# Generate a relatable meme with custom folder
memer -q "me explaining why I need another monitor" -f work_memes

# Generate a Rust-specific meme
memer -q "borrowing in Rust vs other languages"

Output

Generated images are saved as 1024x1024 PNG files in the specified directory. The tool automatically creates the directory if it doesn’t exist.

Technical Details

• Language: Rust 2024 edition
• Image Model: DALL-E 3
• Image Format: Base64 JSON → PNG
• Image Size: 1024x1024 pixels
• Async Runtime: Tokio

Dependencies

• async-openai: OpenAI API client
• clap: Command-line argument parsing
• tokio: Async runtime
• dotenv: Environment variable loading
• minijinja: Template rendering
• uuid: Unique identifier generation

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

Apache License 2.0

Acknowledgments

• OpenAI for the DALL-E 3 API
• The Rust community for excellent crates

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Note: This tool requires an active OpenAI API subscription. Image generation costs apply according to OpenAI’s pricing.

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