ComfyUI-Sonic

By sbcodeView on GitHub →

Custom node that takes an audio mp3 and an image, and creates a lip synced video from them.

How much VRAM does ComfyUI-Sonic require?

Direct Answer: The ComfyUI node ComfyUI-Sonic 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-Sonic?

Direct Answer: Running ComfyUI-Sonic requires installing the following Python package dependencies: diffusers>=0.29.0, einops, imageio, librosa, omegaconf>=2.3.0, opencv-python, scipy, torch, torchvision, tqdm, transformers, ultralytics. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
diffusers>=0.29.0
einops
imageio
librosa
omegaconf>=2.3.0
opencv-python
scipy
torch
torchvision
tqdm
transformers
ultralytics

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ATI_AudioReactive
by yukascomfy1.5GB VRAM
Akatz Custom Nodes
by akatz-ai128MB VRAM
Artha-Gemini
by Cyrostar4.0GB VRAM
Bjornulf_custom_nodes
by justUmen256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Sonic require?

ComfyUI-Sonic 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-Sonic 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-Sonic need?

ComfyUI-Sonic requires the following PyTorch-related packages: torch, torchvision. 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-Sonic?

To run ComfyUI-Sonic, you need to install: diffusers>=0.29.0, einops, imageio, librosa, omegaconf>=2.3.0, opencv-python, scipy, torch, torchvision, tqdm, transformers, ultralytics. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-Sonic in ComfyUI?

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