ComfyUI-Vui
ComfyUI-Vui is now available in ComfyUI, Vui is a llama based transformer that predicts audio tokens.
How much VRAM does ComfyUI-Vui require?
Direct Answer: The ComfyUI node ComfyUI-Vui requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 1536MB (1.5GB)
- Recommended GPU:
- 6GB+ 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-Vui?
Direct Answer: Running ComfyUI-Vui requires installing the following Python package dependencies: einops==0.8.1, inflect==7.5.0, numba==0.61.2, numpy==2.2.6, openai-whisper, pyannote.audio==3.3.2, pydantic==2.11.5, soundfile==0.13.1, tiktoken==0.9.0, torch==2.7.1, torchaudio, transformers==4.52.4. Ensure your ComfyUI environment has these packages active before launching.
einops==0.8.1
inflect==7.5.0
numba==0.61.2
numpy==2.2.6
openai-whisper
pyannote.audio==3.3.2
pydantic==2.11.5
soundfile==0.13.1
tiktoken==0.9.0
torch==2.7.1
torchaudio
transformers==4.52.4Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Vui require?
ComfyUI-Vui requires a minimum of 1536MB (1.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI-Vui on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom
What PyTorch version does ComfyUI-Vui need?
ComfyUI-Vui requires the following PyTorch-related packages: torch==2.7.1, torchaudio. 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-Vui?
To run ComfyUI-Vui, you need to install: einops==0.8.1, inflect==7.5.0, numba==0.61.2, numpy==2.2.6, openai-whisper, pyannote.audio==3.3.2, pydantic==2.11.5, soundfile==0.13.1, tiktoken==0.9.0, torch==2.7.1, torchaudio, transformers==4.52.4. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Vui?
ComfyUI-Vui 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-Vui in ComfyUI?
To install ComfyUI-Vui: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Yuan-ManX/ComfyUI-Vui, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.