ComfyUI_IndexTTS
IndexTTS Voice Cloning Nodes for ComfyUI. High-quality voice cloning, very fast, supports Chinese and English, and allows custom voice styles.
How much VRAM does ComfyUI_IndexTTS require?
Direct Answer: The ComfyUI node ComfyUI_IndexTTS requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for ComfyUI_IndexTTS?
Direct Answer: Running ComfyUI_IndexTTS requires installing the following Python package dependencies: accelerate, cn2an, cython, ffmpeg-python, g2p-en, jieba, json5, keras, librosa, matplotlib, modelscope, munch, numba, numpy, omegaconf, opencv-python, pandas, pynini==2.1.6; platform_system!="Windows", safetensors, sentencepiece, tensorboard, textstat, tokenizers, tqdm, transformers, wetextprocessing>=1.0.3; platform_system!="Windows". Ensure your ComfyUI environment has these packages active before launching.
accelerate
cn2an
cython
ffmpeg-python
g2p-en
jieba
json5
keras
librosa
matplotlib
modelscope
munch
numba
numpy
omegaconf
opencv-python
pandas
pynini==2.1.6; platform_system!="Windows"
safetensors
sentencepiece
tensorboard
textstat
tokenizers
tqdm
transformers
wetextprocessing>=1.0.3; platform_system!="Windows"Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_IndexTTS require?
ComfyUI_IndexTTS requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI_IndexTTS on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What Python packages are required for ComfyUI_IndexTTS?
To run ComfyUI_IndexTTS, you need to install: accelerate, cn2an, cython, ffmpeg-python, g2p-en, jieba, json5, keras, librosa, matplotlib, modelscope, munch, numba, numpy, omegaconf, opencv-python, pandas, pynini==2.1.6; platform_system!="Windows", safetensors, sentencepiece, tensorboard, textstat, tokenizers, tqdm, transformers, wetextprocessing>=1.0.3; platform_system!="Windows". You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_IndexTTS?
ComfyUI_IndexTTS supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install ComfyUI_IndexTTS in ComfyUI?
To install ComfyUI_IndexTTS: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/billwuhao/ComfyUI_IndexTTS, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.