ComfyUI-RVC
a comfyui custom node for [a/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git), you can Voice-Conversion in comfyui now! NOTE: make sure ffmpeg is worked in your commandline for Linux
How much VRAM does ComfyUI-RVC require?
Direct Answer: The ComfyUI node ComfyUI-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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What Python packages are required for ComfyUI-RVC?
Direct Answer: Running ComfyUI-RVC requires installing the following Python package dependencies: absl-py>=1.2.0, audioread, av, colorama>=0.4.5, cython, fairseq, faiss-cpu, fastapi, ffmpeg-python>=0.2.0, ffmpy==0.3.1, fsspec>=2022.11.0, httpx, jinja2>=3.1.2, joblib>=1.1.0, json5, librosa==0.9.1, llvmlite, markdown, matplotlib>=3.7.0, matplotlib-inline>=0.1.3, numba, numpy==1.23.5, onnxruntime; sys_platform == 'darwin', onnxruntime-gpu; sys_platform != 'darwin', pillow>=9.1.1, praat-parselmouth>=0.4.2, pyasn1>=0.4.8, pyasn1-modules>=0.2.8, pydub>=0.25.1, python-dotenv>=1.0.0, pyworld==0.3.2, pyyaml>=6.0, resampy>=0.4.2, scikit-learn, scipy, soundfile>=0.12.1, sympy>=1.11.1, tabulate>=0.8.10, tensorboard, tensorboardx, torchcrepe==0.0.20, torchfcpe, tornado>=6.1, tqdm>=4.63.1, uc-micro-py>=1.0.1, uvicorn>=0.21.1, werkzeug>=2.2.3. Ensure your ComfyUI environment has these packages active before launching.
absl-py>=1.2.0
audioread
av
colorama>=0.4.5
cython
fairseq
faiss-cpu
fastapi
ffmpeg-python>=0.2.0
ffmpy==0.3.1
fsspec>=2022.11.0
httpx
jinja2>=3.1.2
joblib>=1.1.0
json5
librosa==0.9.1
llvmlite
markdown
matplotlib>=3.7.0
matplotlib-inline>=0.1.3
numba
numpy==1.23.5
onnxruntime; sys_platform == 'darwin'
onnxruntime-gpu; sys_platform != 'darwin'
pillow>=9.1.1
praat-parselmouth>=0.4.2
pyasn1>=0.4.8
pyasn1-modules>=0.2.8
pydub>=0.25.1
python-dotenv>=1.0.0
pyworld==0.3.2
pyyaml>=6.0
resampy>=0.4.2
scikit-learn
scipy
soundfile>=0.12.1
sympy>=1.11.1
tabulate>=0.8.10
tensorboard
tensorboardx
torchcrepe==0.0.20
torchfcpe
tornado>=6.1
tqdm>=4.63.1
uc-micro-py>=1.0.1
uvicorn>=0.21.1
werkzeug>=2.2.3Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-RVC require?
ComfyUI-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 ComfyUI-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 ComfyUI-RVC need?
ComfyUI-RVC requires the following PyTorch-related packages: torchcrepe==0.0.20, torchfcpe. 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-RVC?
To run ComfyUI-RVC, you need to install: absl-py>=1.2.0, audioread, av, colorama>=0.4.5, cython, fairseq, faiss-cpu, fastapi, ffmpeg-python>=0.2.0, ffmpy==0.3.1, fsspec>=2022.11.0, httpx, jinja2>=3.1.2, joblib>=1.1.0, json5, librosa==0.9.1, llvmlite, markdown, matplotlib>=3.7.0, matplotlib-inline>=0.1.3, numba, numpy==1.23.5, onnxruntime; sys_platform == 'darwin', onnxruntime-gpu; sys_platform != 'darwin', pillow>=9.1.1, praat-parselmouth>=0.4.2, pyasn1>=0.4.8, pyasn1-modules>=0.2.8, pydub>=0.25.1, python-dotenv>=1.0.0, pyworld==0.3.2, pyyaml>=6.0, resampy>=0.4.2, scikit-learn, scipy, soundfile>=0.12.1, sympy>=1.11.1, tabulate>=0.8.10, tensorboard, tensorboardx, torchcrepe==0.0.20, torchfcpe, tornado>=6.1, tqdm>=4.63.1, uc-micro-py>=1.0.1, uvicorn>=0.21.1, werkzeug>=2.2.3. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-RVC?
ComfyUI-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 ComfyUI-RVC in ComfyUI?
To install ComfyUI-RVC: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/AIFSH/ComfyUI-RVC, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.