ComfyUI-PersonaLive
A ComfyUI custom node implementation of PersonaLive: Expressive Portrait Image Animation for Live Streaming, enabling portrait animation driven by reference images. (Description by CC)
How much VRAM does ComfyUI-PersonaLive require?
Direct Answer: The ComfyUI node ComfyUI-PersonaLive requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ 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-PersonaLive?
Direct Answer: Running ComfyUI-PersonaLive requires installing the following Python package dependencies: accelerate, av, decord, diffusers, einops, huggingface-hub, mediapipe, numpy, omegaconf, onnx, onnx_graphsurgeon, onnx_simplifier, opencv-contrib-python, opencv-python-headless, pillow, polygraphy, pycuda, safetensors, tensorrt, torch>=2.6, torchaudio>=2.6, torchvision, tqdm, transformers, xformers. This node specifically requires PyTorch version 2.6 or newer.
accelerate
av
decord
diffusers
einops
huggingface-hub
mediapipe
numpy
omegaconf
onnx
onnx_graphsurgeon
onnx_simplifier
opencv-contrib-python
opencv-python-headless
pillow
polygraphy
pycuda
safetensors
tensorrt
torch>=2.6
torchaudio>=2.6
torchvision
tqdm
transformers
xformersInteractive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.6+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI-PersonaLive require?
ComfyUI-PersonaLive requires a minimum of 128MB (0.1GB) 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 ComfyUI-PersonaLive on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What PyTorch version does ComfyUI-PersonaLive need?
ComfyUI-PersonaLive requires the following PyTorch-related packages: torch>=2.6, torchaudio>=2.6, 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-PersonaLive?
To run ComfyUI-PersonaLive, you need to install: accelerate, av, decord, diffusers, einops, huggingface-hub, mediapipe, numpy, omegaconf, onnx, onnx_graphsurgeon, onnx_simplifier, opencv-contrib-python, opencv-python-headless, pillow, polygraphy, pycuda, safetensors, tensorrt, torch>=2.6, torchaudio>=2.6, torchvision, tqdm, transformers, xformers. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-PersonaLive?
ComfyUI-PersonaLive 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-PersonaLive in ComfyUI?
To install ComfyUI-PersonaLive: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/okdalto/ComfyUI-PersonaLive, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.