ComfyUI-IndexTTS2

Lightweight ComfyUI wrapper for IndexTTS 2 (voice cloning + emotion control). Nodes call the upstream inference code so behaviour stays matched with the original repo.

Original repo: https://github.com/index-tts/index-tts

Updates

2025-09-22: Added IndexTTS2 Advanced node exposing sampling, speed, seed, and other generation controls.

Install

Clone this repository into ComfyUI/custom_nodes/

Inside your ComfyUI Python environment:

pip install wetext
pip install -r requirements.txt

Models

Create checkpoints/ in the repo root and copy the IndexTTS-2 release there (https://huggingface.co/IndexTeam/IndexTTS-2/tree/main). Missing files will be cached from Hugging Face automatically, but a full local copy keeps everything offline.
For full offline use download once and place the files below:
- facebook/w2v-bert-2.0 -> checkpoints/w2v-bert-2.0/ (the loader checks this folder before contacting Hugging Face)
- BigVGAN config and weights -> checkpoints/bigvgan/
- MaskGCT semantic codec -> checkpoints/semantic_codec/model.safetensors
- CAMPPlus model -> checkpoints/campplus_cn_common.bin
- Optional: QwenEmotion (qwen0.6bemo4-merge/) for the text-to-emotion helper node

Typical layout:

checkpoints/
  config.yaml, gpt.pth, s2mel.pth, bpe.model, feat*.pt, wav2vec2bert_stats.pt
  bigvgan/{config.json,bigvgan_generator.pt}
  semantic_codec/model.safetensors
  campplus_cn_common.bin
  qwen0.6bemo4-merge/[model files]
  w2v-bert-2.0/[HF files]

Nodes

IndexTTS2 Simple – speaker audio, text, optional emotion audio/vector; outputs audio + status string. Auto-selects device, FP16 on CUDA.
IndexTTS2 Advanced – Simple inputs plus overrides for sampling, speech speed, pauses, CFG, seed.
IndexTTS2 Emotion Vector – eight sliders (0.0–1.4, sum <= 1.5) producing an emotion vector.
IndexTTS2 Emotion From Text – requires ModelScope and local QwenEmotion; turns short text into an emotion vector + summary.

Examples

Speaker audio -> IndexTTS2 Simple -> Preview/Save Audio
Speaker + emotion audio -> IndexTTS2 Simple -> Save
Emotion Vector -> IndexTTS2 Simple -> Save
Emotion From Text -> IndexTTS2 Simple -> Save

Troubleshooting

Windows only so far; DeepSpeed is disabled.
Install wetext if the module is missing on first launch.
If w2v-bert keeps downloading, confirm checkpoints/w2v-bert-2.0/ exists (or set W2V_BERT_LOCAL_DIR).
404 or load failures usually mean a missing file in checkpoints/; re-check the tree above.
Emotion vector sum must stay <= 1.5.
BigVGAN CUDA kernel warnings are expected; PyTorch fallback kicks in automatically.

Logs you should see

Loading config.json from local directory
SeamlessM4TFeatureExtractor loaded from: checkpoints/w2v-bert-2.0/
Model paths pointing at your checkpoints/ tree.

2.9 KiB Raw Blame History Unescape Escape