german angry bug
Replaces Hoarder Bug audio with Some Voicelines from German Content Creators
By Juliaan_py
Last updated | 8 months ago |
Total downloads | 5112 |
Total rating | 1 |
Categories | Audio BepInEx Client-side |
Dependency string | Juliaan_py-german_angry_bug-1.0.3 |
Dependants | 1 other package depends on this package |
This mod requires the following mods to function
BepInEx-BepInExPack
BepInEx pack for Mono Unity games. Preconfigured and ready to use.
Preferred version: 5.4.2100no00ob-LCSoundTool
Let's you easily load audio files, replace any in game audio clip and log any audio playback into console.
Preferred version: 1.2.2Clementinise-CustomSounds
Let's you easily load audio files (With LCSoundTool) and replace any in game audio clip.
Preferred version: 1.2.3README
Lethal Company: "Angry German Content Creators" Hoarding Bug Audio Overhaul 🎮
Introduction
Welcome to the "Angry German" Hoarding Bug Audio Overhaul for Lethal Company! This mod injects a dose of humor and intensity into your gaming experience by replacing the standard hoarding bug audio with iconic quotes from German Youtubers from "Nooreax", "Apored", "Montanablack"
Features
🗣️ Angry Germans Voiceover:
- Say goodbye to generic bug noises and hello to the some iconic voicelines from German Content Creators.
- Enjoy a fresh and humorous take on the hoarding bug encounters.
🎉 Audio Variety:
- Experience a variety of rage-induced phrases, adding an element of surprise to each encounter.
- No two hoarding bug experiences will sound the same!
🤣 Enhanced Entertainment:
- Bring a smile to your face as you navigate the challenges of dealing with hoarding bugs.
- Share the laughter with fellow gamers and turn your encounters into memorable moments.
Installation
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Download Mod Files: Get the mod files from the provided link.
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Launch the Game: Start Lethal Company and get ready to face hoarding bugs with a German twist!
Compatibility
This mod is designed to work seamlessly with the latest version of Lethal Company. Ensure your game is up to date for optimal performance.