Saganaki22

🗣️ ComfyUI nodes for KugelAudi- Open-source text-to-speech with voice cloning for 24 European languages

29
6
100% credibility
Found Feb 03, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Custom ComfyUI nodes that let you generate natural speech from text, clone voices from samples, create multi-speaker talks, and check for AI watermarks using the open-source KugelAudio model.

How It Works

1
🔍 Discover voice magic

You stumble upon KugelAudio while exploring fun tools for ComfyUI, promising realistic voices in many languages.

2
📥 One-click setup

Open your ComfyUI manager, search for it, and install – everything prepares itself without hassle.

3
🧩 Build your voice flow

Drag colorful voice blocks into your canvas to create text-to-speech or voice cloning setups.

4
🎤 Speak your ideas

Type words, add a voice sample to mimic, or set up multi-person chats – it feels so natural.

5
Hear it come alive

Hit generate and instantly enjoy lifelike speech that matches your vision perfectly.

🎉 Voices ready to share

Your podcasts, videos, or stories now have authentic voices, safely marked as AI creations.

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AI-Generated Review

What is ComfyUI-KugelAudio?

ComfyUI-KugelAudio brings open-source text-to-speech with voice cloning to ComfyUI workflows via custom Python nodes. It lets you generate natural audio from text in 24 European languages, clone voices from 5-30 second clips, and create multi-speaker conversations with up to six voices and configurable pauses. Install via ComfyUI Manager (search "KugelAudio") or git clone the comfyui github repository, with auto-download of the 7B model and support for Windows portable, Mac, Linux, and AMD setups through quantization.

Why is it gaining traction?

It stands out with 4-bit quantization dropping VRAM from 19GB to 8GB, real-time progress bars, and attention options like SageAttention for speed on CUDA. Voice cloning works reliably on short clips, multi-speaker nodes handle formatted convos effortlessly, and built-in watermark detection verifies outputs. Benchmarks show it beating ElevenLabs in human preference tests, making it a drop-in for high-quality TTS without external APIs.

Who should use this?

ComfyUI users building audio pipelines, like video editors dubbing clips in multiple languages or prototyping conversational AI agents. Podcasters scripting multi-person dialogues or devs chaining TTS with image/video nodes in workflows. Anyone with ComfyUI nodes manager facing missing nodes for external tooling like voice synthesis.

Verdict

Grab it if you're in ComfyUI and need multilingual TTS with cloning—docs cover comfyui github install, examples, and troubleshooting nodes not installing. At 24 stars and 1.0% credibility, it's early but polished with comfyui nodes explained and portable releases; test on small workflows first.

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