ComfyUI-HiggsAudio_Wrapper
A comprehensive ComfyUI wrapper for HiggsAudio v2, enabling high-quality text-to-speech generation with advanced voice cloning capabilities. Supports multiple voice presets and custom reference audio for voice cloning. Requires transformers==4.45.2 for compatibility.
How much VRAM does ComfyUI-HiggsAudio_Wrapper require?
Direct Answer: The ComfyUI node ComfyUI-HiggsAudio_Wrapper 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-HiggsAudio_Wrapper?
Direct Answer: Running ComfyUI-HiggsAudio_Wrapper requires installing the following Python package dependencies: accelerate>=0.26.0, boto3==1.35.36, click, dacite, descript-audio-codec, jieba, json_repair, langid, librosa, loguru, omegaconf, pandas, pydantic, pydub, ruff==0.12.2, s3fs, soundfile, torch, torchaudio, torchvision, transformers==4.45.2, vector_quantize_pytorch. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=0.26.0
boto3==1.35.36
click
dacite
descript-audio-codec
jieba
json_repair
langid
librosa
loguru
omegaconf
pandas
pydantic
pydub
ruff==0.12.2
s3fs
soundfile
torch
torchaudio
torchvision
transformers==4.45.2
vector_quantize_pytorchInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-HiggsAudio_Wrapper require?
ComfyUI-HiggsAudio_Wrapper 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-HiggsAudio_Wrapper 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-HiggsAudio_Wrapper need?
ComfyUI-HiggsAudio_Wrapper requires the following PyTorch-related packages: torch, torchaudio, torchvision, vector_quantize_pytorch. 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-HiggsAudio_Wrapper?
To run ComfyUI-HiggsAudio_Wrapper, you need to install: accelerate>=0.26.0, boto3==1.35.36, click, dacite, descript-audio-codec, jieba, json_repair, langid, librosa, loguru, omegaconf, pandas, pydantic, pydub, ruff==0.12.2, s3fs, soundfile, torch, torchaudio, torchvision, transformers==4.45.2, vector_quantize_pytorch. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-HiggsAudio_Wrapper?
ComfyUI-HiggsAudio_Wrapper 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-HiggsAudio_Wrapper in ComfyUI?
To install ComfyUI-HiggsAudio_Wrapper: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ShmuelRonen/ComfyUI-HiggsAudio_Wrapper, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.