How to use a custom color palette with dipc?

You need to provide a JSON file or JSON string defining the palette colors, as mentioned in the usage section. For example, use 'dipc JSON: {}' with your theme data, but there's no built-in editor to simplify this process.

dipc vs ImageMagick for recoloring images: which should I choose?

dipc is specialized for precise palette-based recoloring with built-in themes and DeltaE methods, ideal for theme matching. ImageMagick offers broader image manipulation but requires more complex commands for similar color conversion tasks.

How to batch convert all images in a folder using dipc?

Use wildcards in the file argument, like 'dipc /*', and optionally specify an output directory with --dir-output to organize the processed files, as shown in the examples.

What DeltaE method is best for graphics in dipc?

The default de2000 is generally accurate, but for graphics-specific use, de1994g is weighted for graphics tolerance, while de1976 is simpler but less precise. Choose based on your color matching requirements.

Can dipc handle image formats with transparency like PNG?

The README doesn't explicitly detail transparency handling, but since it processes standard image files, it likely preserves alpha channels; however, for edge cases, testing with your images is recommended.

How to install dipc on Windows without using Cargo?

dipc is primarily distributed via Cargo, Homebrew, and Nix, which may require setup on Windows. For direct installation, check if pre-built binaries are available or build from source using Rust, as outlined in the installation section.

Open-Awesome

dipc

Apache-2.0Rustv1.2.0

A command-line tool that converts images and wallpapers by applying popular color palettes and themes.

GitHub

348 stars13 forks0 contributors

What is dipc?

dipc is a command-line utility that transforms images by recoloring them with predefined color palettes and themes. It provides a simple, focused way to adapt wallpapers and other images to match aesthetic preferences or system themes, following the Unix philosophy of doing one thing well.

Target Audience

Developers and command-line users who want to programmatically recolor images, such as wallpapers, to match popular color themes like Catppuccin, Dracula, or Nord, often for aesthetic customization or theming workflows.

Value Proposition

Developers choose dipc for its speed, reliability, and composability in pipelines, thanks to its Unix philosophy design. It offers precise color matching with multiple CIELAB DeltaE algorithms and supports interactive TUI mode, making it versatile for both automated and manual use.

Overview

Convert your favorite images and wallpapers with your favorite color palettes/themes

Use Cases

Best For

Adapting wallpapers to match system color themes like Catppuccin or Dracula.
Batch processing multiple images through command-line pipelines with stdin/stdout support.
Interactive palette selection and preview via its built-in terminal user interface (TUI).
Applying precise color conversions using different CIELAB DeltaE methods (e.g., de2000, de1976).
Generating image variations for all styles of a palette (e.g., all Gruvbox variations) in one command.
Integrating image recoloring into shell scripts or CI/CD workflows due to its composable design.

Not Ideal For

Graphic designers or users needing a drag-and-drop GUI for real-time image editing and preview.
Projects requiring extensive image manipulation beyond color conversion, such as resizing, cropping, or applying filters.
Teams that rely on dynamically generated or proprietary color palettes not included in the built-in list, without the overhead of JSON setup.

Pros & Cons

Pros

Unix Philosophy Focus

Adheres strictly to doing one thing well, ensuring fast and reliable color conversion without bloat, as emphasized in the README's philosophy section.

Pipeline Composability

Supports stdin/stdout for seamless integration with other CLI tools, demonstrated in examples like piping from grim to swappy for screenshot workflows.

Precise Color Matching

Offers multiple CIELAB DeltaE methods (e.g., de2000, de1994g) for accurate color transformation, allowing users to choose algorithms based on their needs.

Interactive TUI Mode

Includes a terminal user interface for easy palette selection and preview, making it accessible for interactive use without leaving the command line.

Cons

Limited Palette Customization

Primarily relies on 12 built-in themes; custom palettes require manual JSON input, which adds complexity for users without programming experience.

No Built-in Palette Editor

Lacks tools for creating or editing color palettes within the application, forcing reliance on external editors or JSON crafting for custom themes.

CLI-Only Interface

As a command-line tool, it has no graphical interface, which may deter non-technical users or those accustomed to visual editing software like GIMP or Photoshop.

Frequently Asked Questions

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