ComfyUI-ChatterBox-Turbo

ComfyUI custom nodes for ChatterBox Turbo — a fast 350M-parameter text-to-speech model with paralinguistic emotion tag support by Resemble AI.

Features

• Fast generation — 1-step mel decoder, significantly faster than the original ChatterBox
• 19 emotion/paralinguistic tags — [dramatic], [sarcastic], [happy], [whispering], and more
• Voice cloning — pass a short WAV reference to clone any voice
• Multi-speaker dialogue — generate full conversations with automatic voice switching
• Auto model download — model weights download automatically from HuggingFace on first use

Nodes

ChatterBox Turbo TTS (ChatterboxTurboGenerate)

Single text-to-speech generation. Good for experimentation and manual workflows.

Input	Type	Default	Notes
text	STRING (multiline)	required	Supports emotion tags: [dramatic] Breaking news!
audio_prompt_path	STRING	""	Path to voice reference WAV inside the container
reference_audio	AUDIO (optional)	—	Alternative: connect audio from another node
temperature	FLOAT	0.8	0.05–5.0
top_p	FLOAT	0.95	0.0–1.0
repetition_penalty	FLOAT	1.2	1.0–2.0
seed	INT	0	0 = random

Output: AUDIO (24 kHz)

ChatterBox Turbo Dialogue (ChatterboxTurboDialogue)

Multi-speaker dialogue generation. Designed for pipeline integration and batch scripts.

Input	Type	Default	Notes
script	STRING (multiline)	required	One Speaker: text per line
voice_map	STRING	"{}"	JSON mapping speaker names to WAV paths
pause_s	FLOAT	0.35	Pause between lines (seconds)
temperature	FLOAT	0.8
top_p	FLOAT	0.95
repetition_penalty	FLOAT	1.2
seed	INT	0

Outputs: AUDIO (concatenated dialogue), STRING (generation info)

Script format:

Mac: [dramatic] Breaking news everyone!
Luna: [surprised] That's right Mac, incredible!
Mac: [sarcastic] Can you believe it?

Voice map example:

{
  "Mac": "/path/to/Mac.wav",
  "Luna": "/path/to/Luna.wav"
}

Emotion & Paralinguistic Tags

ChatterBox Turbo supports 19 special tokens trained into the model as added_tokens on top of the GPT-2 vocabulary (token IDs 50257–50275). The full list is defined in added_tokens.json in the model repo. The upstream ChatterBox README mentions [cough], [laugh], [chuckle] as examples — the complete set of 19 is listed below.

Place a tag at the start of a line to set the delivery style for that line.

Emotion Tags (affect the entire delivery)

Tag	Best for	Example
[dramatic]	Breaking news, reveals, cliffhangers	[dramatic] This changes everything!
[sarcastic]	Irony, dry humor, deadpan delivery	[sarcastic] Oh sure, that went perfectly.
[happy]	Upbeat, celebratory, good news	[happy] We just hit a million subscribers!
[surprised]	Reactions, plot twists, disbelief	[surprised] Wait, are you serious right now?
[angry]	Outrage, frustration, intensity	[angry] This is completely unacceptable!
[fear]	Tension, warnings, alarm	[fear] Something is very wrong here.
[crying]	Sadness, emotion, sympathy	[crying] I cannot believe they are gone.
[whispering]	Secrets, asides, intimacy	[whispering] Nobody is supposed to know this.
[narration]	Neutral storytelling, documentary tone	[narration] The year was nineteen sixty nine.
[advertisement]	Sales pitch, promo, upbeat sell	[advertisement] Try it free for thirty days!

Vocal Sound Effects (inject a specific sound)

Tag	Effect
[laugh]	Full laugh
[chuckle]	Soft/brief laugh
[gasp]	Sharp intake of breath
[sigh]	Exhalation, weariness
[groan]	Displeasure, frustration
[sniff]	Nasal sound
[cough]	Cough
[clear throat]	Throat clearing
[shush]	Shushing sound

Tips for Script Writing

• One tag per line. Place it at the start: [dramatic] The verdict is in.
• Emotion tags work best at sentence start. Sound effects can go mid-sentence: Well [chuckle] that was unexpected.
• Don't overuse. Not every line needs a tag — untagged lines get natural delivery from the voice reference.
• Match tag to content. [surprised] on mundane text sounds odd. Use it for genuine reveals.
• Best tags for news/TikTok scripts:
  • [dramatic] — opening lines, breaking news, reveals
  • [surprised] — reactions to the other speaker
  • [sarcastic] — commentary, humor, disbelief
  • [happy] — positive stories, celebrations
  • [narration] — factual context, transitions
  • [laugh] / [chuckle] — between speakers for natural feel

Installation

ComfyUI Manager

Search for "ChatterBox Turbo" in ComfyUI Manager and install.

Manual

cd ComfyUI/custom_nodes
git clone https://github.com/wobba/ComfyUI-ChatterBox-Turbo.git
pip install -r ComfyUI-ChatterBox-Turbo/requirements.txt

Restart ComfyUI after installation.

Model Download

The model (~700 MB) downloads automatically from ResembleAI/chatterbox-turbo on HuggingFace the first time either node runs. Files are stored in the standard ComfyUI models directory:

ComfyUI/models/TTS/chatterbox-turbo/

The folder is registered with ComfyUI's folder_paths system and respects extra_model_paths.yaml overrides. No manual download needed.

Runtime Patches

This node includes three compatibility patches applied at import time:

1. Perth watermarker — The perth audio watermarking library uses pkg_resources, which was removed in Python 3.13. If the real Perth module loads successfully, watermarking works normally. On Python 3.13+ where Perth fails to import, a no-op mock is installed so generation still works — but output audio will not be watermarked. This is logged at startup.

2. s3tokenizer float32 — On numpy 2.x, STFT operations return float64 instead of float32. The patch casts magnitudes back to float32 after STFT.

3. prepare_conditionals float32 — On numpy 2.x, librosa.load() returns float64 arrays. The patch ensures audio arrays are cast to float32 before being passed to the model.

Requirements

• ComfyUI with CUDA GPU
• Python 3.11+ (tested on 3.13)
• Dependencies: chatterbox-tts, soundfile, librosa, huggingface_hub, perth
• PyTorch, torchaudio, and numpy are expected from the ComfyUI environment

Credits

• Resemble AI for the ChatterBox model
• ChatterBox GitHub — upstream model repository

License

MIT