ComfyUI OpenVoice
Unofficial implementation of [a/OpenVoice](https://github.com/myshell-ai/OpenVoice) for ComfyUI
How much VRAM does ComfyUI OpenVoice require?
Direct Answer: The ComfyUI node ComfyUI OpenVoice 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 OpenVoice?
Direct Answer: Running ComfyUI OpenVoice requires installing the following Python package dependencies: cn2an, eng_to_ipa, faster-whisper, huggingface_hub, inflect, jieba, librosa, pydub, pypinyin, soundfile, torch, unidecode, wavmark, whisper-timestamped. Ensure your ComfyUI environment has these packages active before launching.
cn2an
eng_to_ipa
faster-whisper
huggingface_hub
inflect
jieba
librosa
pydub
pypinyin
soundfile
torch
unidecode
wavmark
whisper-timestampedInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI OpenVoice require?
ComfyUI OpenVoice 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 OpenVoice 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 PyTorch version does ComfyUI OpenVoice need?
ComfyUI OpenVoice requires the following PyTorch-related packages: torch. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUI OpenVoice?
To run ComfyUI OpenVoice, you need to install: cn2an, eng_to_ipa, faster-whisper, huggingface_hub, inflect, jieba, librosa, pydub, pypinyin, soundfile, torch, unidecode, wavmark, whisper-timestamped. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI OpenVoice?
ComfyUI OpenVoice 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 OpenVoice in ComfyUI?
To install ComfyUI OpenVoice: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/hay86/ComfyUI_OpenVoice, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.