ComfyUI-HunyuanVideo-Foley

A ComfyUI custom node for generating synchronized audio for videos using the HunyuanVideo-Foley model.

How much VRAM does ComfyUI-HunyuanVideo-Foley require?

Direct Answer: The ComfyUI node ComfyUI-HunyuanVideo-Foley requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI-HunyuanVideo-Foley?

Direct Answer: Running ComfyUI-HunyuanVideo-Foley requires installing the following Python package dependencies: accelerate, av, black>=23.0.0, diffusers, easydict, einops, flake8>=6.0.0, isort>=5.12.0, loguru, mypy>=1.3.0, numpy==1.26.4, omegaconf, opencv-python>=4.8.0, pandas, pillow, pre-commit>=3.0.0, pyarrow, pyyaml, scipy, sentencepiece, setuptools, timm, torch>=2.0.0, torchaudio>=2.0.0, torchvision>=0.15.0, tqdm, urllib3==2.4.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
accelerate
av
black>=23.0.0
diffusers
easydict
einops
flake8>=6.0.0
isort>=5.12.0
loguru
mypy>=1.3.0
numpy==1.26.4
omegaconf
opencv-python>=4.8.0
pandas
pillow
pre-commit>=3.0.0
pyarrow
pyyaml
scipy
sentencepiece
setuptools
timm
torch>=2.0.0
torchaudio>=2.0.0
torchvision>=0.15.0
tqdm
urllib3==2.4.0

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

Frequently Asked Questions

How much VRAM does ComfyUI-HunyuanVideo-Foley require?

ComfyUI-HunyuanVideo-Foley requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-HunyuanVideo-Foley on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI-HunyuanVideo-Foley need?

ComfyUI-HunyuanVideo-Foley requires the following PyTorch-related packages: torch>=2.0.0, torchaudio>=2.0.0, torchvision>=0.15.0. 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 ComfyUI-HunyuanVideo-Foley?

To run ComfyUI-HunyuanVideo-Foley, you need to install: accelerate, av, black>=23.0.0, diffusers, easydict, einops, flake8>=6.0.0, isort>=5.12.0, loguru, mypy>=1.3.0, numpy==1.26.4, omegaconf, opencv-python>=4.8.0, pandas, pillow, pre-commit>=3.0.0, pyarrow, pyyaml, scipy, sentencepiece, setuptools, timm, torch>=2.0.0, torchaudio>=2.0.0, torchvision>=0.15.0, tqdm, urllib3==2.4.0. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-HunyuanVideo-Foley in ComfyUI?

To install ComfyUI-HunyuanVideo-Foley: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/railep/ComfyUI-HunyuanVideo-Foley, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.