ComfyUI-FaceChain

By THtianhaoView on GitHub →

The official ComfyUI version of facechain greatly improves the speed of reasoning and has great custom process controls.

How much VRAM does ComfyUI-FaceChain require?

Direct Answer: The ComfyUI node ComfyUI-FaceChain 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

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-FaceChain?

Direct Answer: Running ComfyUI-FaceChain requires installing the following Python package dependencies: aliyun-python-sdk-core-v3>=2.13.10, controlnet_aux>=0.0.6, insightface, mediapipe, mmdet>=2.26.0, modelscope, onnxruntime-gpu, pysoundfile, python-slugify>=8.0.1, sentencepiece, soundfile, timm, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
aliyun-python-sdk-core-v3>=2.13.10
controlnet_aux>=0.0.6
insightface
mediapipe
mmdet>=2.26.0
modelscope
onnxruntime-gpu
pysoundfile
python-slugify>=8.0.1
sentencepiece
soundfile
timm
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:

APZmedia Qwen TTS Nodes
by APZmedia128MB VRAM
ComfyUI Comic Creator
by ketle-man256MB VRAM
ComfyUI Gemini Pro Node
by penposs4.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-FaceChain require?

ComfyUI-FaceChain 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-FaceChain 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 Python packages are required for ComfyUI-FaceChain?

To run ComfyUI-FaceChain, you need to install: aliyun-python-sdk-core-v3>=2.13.10, controlnet_aux>=0.0.6, insightface, mediapipe, mmdet>=2.26.0, modelscope, onnxruntime-gpu, pysoundfile, python-slugify>=8.0.1, sentencepiece, soundfile, timm, transformers. You can install these using pip or add them to your requirements.txt file.

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

ComfyUI-FaceChain 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-FaceChain in ComfyUI?

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