Arc2Face ComfyUI Node Library

Name: Arc2Face ComfyUI Node Library
Author: caleboleary

This ComfyUI node library builds upon the work done to train the [a/Arc2Face](https://github.com/foivospar/Arc2Face) model by foivospar. It provides a set of nodes for ComfyUI that allow users to extract face embeddings, generate images based on these embeddings, and perform image-to-image transformations.

VRAM Requirements

Direct Answer: The ComfyUI node Arc2Face ComfyUI Node Library 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.

High (2-4GB)

Base VRAM:: 128MB (0.1GB)
Recommended GPU:: 4GB+ VRAM
Low VRAM Mode:: ✓ Supported
Estimation Confidence:: MEDIUM

🧮 Interactive VRAM Compatibility Estimator

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

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

Python Dependencies

Direct Answer: Running Arc2Face ComfyUI Node Library requires installing the following Python package dependencies: diffusers>=0.19.3, insightface>=0.7.3, onnxruntime>=1.12.0, opencv-python>=4.5.0, transformers>=4.36.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt

diffusers>=0.19.3
insightface>=0.7.3
onnxruntime>=1.12.0
opencv-python>=4.5.0
transformers>=4.36.0

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...