ComfyUI-X-Portrait-Nodes

By akatz-aiView on GitHub →

Implementation of X-Portrait nodes for ComfyUI, animate portraits with an input video and a reference image.

How much VRAM does ComfyUI-X-Portrait-Nodes require?

Direct Answer: The ComfyUI node ComfyUI-X-Portrait-Nodes 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-X-Portrait-Nodes?

Direct Answer: Running ComfyUI-X-Portrait-Nodes requires installing the following Python package dependencies: diffusers, einops, face-alignment, imageio, imageio, matplotlib, numpy, omegaconf, open-clip-torch, opencv-python, pytorch-lightning, sageattention, scikit-image, torchvision, transformers, triton, xformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
diffusers
einops
face-alignment
imageio
imageio
matplotlib
numpy
omegaconf
open-clip-torch
opencv-python
pytorch-lightning
sageattention
scikit-image
torchvision
transformers
triton
xformers

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:

DepthCrafter Nodes
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AAA Metadata System
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Animatediff MotionLoRA Trainer
by kijai4.0GB VRAM
Arc2Face ComfyUI Node Library
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Arthemy Live Tuner - SDXL
by aledelpho8.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-X-Portrait-Nodes require?

ComfyUI-X-Portrait-Nodes 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-X-Portrait-Nodes 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-X-Portrait-Nodes need?

ComfyUI-X-Portrait-Nodes requires the following PyTorch-related packages: open-clip-torch, pytorch-lightning, 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-X-Portrait-Nodes?

To run ComfyUI-X-Portrait-Nodes, you need to install: diffusers, einops, face-alignment, imageio, imageio, matplotlib, numpy, omegaconf, open-clip-torch, opencv-python, pytorch-lightning, sageattention, scikit-image, torchvision, transformers, triton, xformers. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-X-Portrait-Nodes in ComfyUI?

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