ComfyUI-JoyHallo_wrapper

By ShmuelRonenView on GitHub →

A ComfyUI custom node wrapper for JoyHallo - One-Shot Audio-Driven Talking Head Generation.

How much VRAM does ComfyUI-JoyHallo_wrapper require?

Direct Answer: The ComfyUI node ComfyUI-JoyHallo_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.

High (2-4GB)
Base VRAM:
1536MB (1.5GB)
Recommended GPU:
6GB+ VRAM
Low VRAM Mode:
✓ 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!

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What Python packages are required for ComfyUI-JoyHallo_wrapper?

Direct Answer: Running ComfyUI-JoyHallo_wrapper requires installing the following Python package dependencies: av, mediapipe==0.10.14, mlflow, moviepy==1.0.3, omegaconf, onnxruntime, regex, scipy, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
av
mediapipe==0.10.14
mlflow
moviepy==1.0.3
omegaconf
onnxruntime
regex
scipy
transformers

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:

ComfyUI Hedra Node
by ShmuelRonen4.0GB VRAM
ComfyUI-Gemini_Flash_2.0_Exp
by ShmuelRonen4.0GB VRAM
DJ_VideoAudioMixer
by ShmuelRonen4.0GB VRAM
Wav2Lip Node for ComfyUI
by ShmuelRonen4.0GB VRAM
ATI_AudioReactive
by yukascomfy1.5GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-JoyHallo_wrapper require?

ComfyUI-JoyHallo_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-JoyHallo_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 Python packages are required for ComfyUI-JoyHallo_wrapper?

To run ComfyUI-JoyHallo_wrapper, you need to install: av, mediapipe==0.10.14, mlflow, moviepy==1.0.3, omegaconf, onnxruntime, regex, scipy, transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-JoyHallo_wrapper?

ComfyUI-JoyHallo_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-JoyHallo_wrapper in ComfyUI?

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