FUSE Face Enhancer

By WASasquatchView on GitHub →

All-in-One Face Fix KSampler for ComfyUI with YOLO detection and SAM segmentation

VRAM Requirements

Direct Answer: The ComfyUI node FUSE Face Enhancer requires a minimum base VRAM of 2048MB 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:
2048MB (2.0GB)
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!

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 FUSE Face Enhancer requires installing the following Python package dependencies: numpy, pillow, python-color-transfer, scipy, segment-anything, torch, ultralytics. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
pillow
python-color-transfer
scipy
segment-anything
torch
ultralytics

🛠️ Interactive Setup & Dependency Resolver

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