Comfy-RVC
ComfyUI custom nodes for RVC related inference and image generation
How much VRAM does Comfy-RVC require?
Direct Answer: The ComfyUI node Comfy-RVC 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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Deploy on Cloud GPUs
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What Python packages are required for Comfy-RVC?
Direct Answer: Running Comfy-RVC requires installing the following Python package dependencies: accelerate, audio-separator, audioread, deep-translator, diffusers, faiss-cpu==1.7.4, ffmpeg-python, ffmpy, librosa~=0.10.2, monotonic_align, numpy<2, onnxruntime, opencv-python, openmim, pyaudio, samplerate, scikit-learn, soundfile, spacy, spacytextblob, textacy, torchcrepe, tqdm, yt-dlp. Ensure your ComfyUI environment has these packages active before launching.
accelerate
audio-separator
audioread
deep-translator
diffusers
faiss-cpu==1.7.4
ffmpeg-python
ffmpy
librosa~=0.10.2
monotonic_align
numpy<2
onnxruntime
opencv-python
openmim
pyaudio
samplerate
scikit-learn
soundfile
spacy
spacytextblob
textacy
torchcrepe
tqdm
yt-dlpInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Comfy-RVC require?
Comfy-RVC 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 Comfy-RVC 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 Comfy-RVC need?
Comfy-RVC requires the following PyTorch-related packages: torchcrepe. 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 Comfy-RVC?
To run Comfy-RVC, you need to install: accelerate, audio-separator, audioread, deep-translator, diffusers, faiss-cpu==1.7.4, ffmpeg-python, ffmpy, librosa~=0.10.2, monotonic_align, numpy<2, onnxruntime, opencv-python, openmim, pyaudio, samplerate, scikit-learn, soundfile, spacy, spacytextblob, textacy, torchcrepe, tqdm, yt-dlp. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Comfy-RVC?
Comfy-RVC 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 Comfy-RVC in ComfyUI?
To install Comfy-RVC: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/SayanoAI/Comfy-RVC, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.