VibeVoice ComfyUI
ComfyUI wrapper for Microsoft VibeVoice TTS model. Supports single speaker, multi-speaker, and text file loading
How much VRAM does VibeVoice ComfyUI require?
Direct Answer: The ComfyUI node VibeVoice ComfyUI requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
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 VibeVoice ComfyUI?
Direct Answer: Running VibeVoice ComfyUI requires installing the following Python package dependencies: absl-py, accelerate>=1.6.0, aiortc, av>=14.3.0, bitsandbytes>=0.48.1, diffusers, huggingface_hub>=0.25.1, librosa>=0.9.0, ml-collections, numpy>=1.20.0, peft>=0.17.0, protobuf, scipy, soundfile>=0.12.0, torch>=2.0.0, torchaudio>=2.0.0, tqdm, transformers>=4.51.3,<5.0.0. This node specifically requires PyTorch version 2.0.0 or newer.
absl-py
accelerate>=1.6.0
aiortc
av>=14.3.0
bitsandbytes>=0.48.1
diffusers
huggingface_hub>=0.25.1
librosa>=0.9.0
ml-collections
numpy>=1.20.0
peft>=0.17.0
protobuf
scipy
soundfile>=0.12.0
torch>=2.0.0
torchaudio>=2.0.0
tqdm
transformers>=4.51.3,<5.0.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does VibeVoice ComfyUI require?
VibeVoice ComfyUI requires a minimum of 256MB (0.3GB) 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 VibeVoice ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom
What PyTorch version does VibeVoice ComfyUI need?
VibeVoice ComfyUI requires the following PyTorch-related packages: torch>=2.0.0, torchaudio>=2.0.0. 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 VibeVoice ComfyUI?
To run VibeVoice ComfyUI, you need to install: absl-py, accelerate>=1.6.0, aiortc, av>=14.3.0, bitsandbytes>=0.48.1, diffusers, huggingface_hub>=0.25.1, librosa>=0.9.0, ml-collections, numpy>=1.20.0, peft>=0.17.0, protobuf, scipy, soundfile>=0.12.0, torch>=2.0.0, torchaudio>=2.0.0, tqdm, transformers>=4.51.3,<5.0.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running VibeVoice ComfyUI?
VibeVoice ComfyUI 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 VibeVoice ComfyUI in ComfyUI?
To install VibeVoice ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Enemyx-net/VibeVoice-ComfyUI, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.