ComfyUI_PuLID_Flux_ll_FaceNet

By KY-2000View on GitHub →

Same Function as original ComfyUI_PuLID_Flux_ll repository, with FaceNet Implementation that is safe for commercial usage.

How much VRAM does ComfyUI_PuLID_Flux_ll_FaceNet require?

Direct Answer: The ComfyUI node ComfyUI_PuLID_Flux_ll_FaceNet requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.

Extreme (>8GB)
Base VRAM:
12288MB (12.0GB)
Recommended GPU:
24GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
HIGH

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!

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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI_PuLID_Flux_ll_FaceNet?

Direct Answer: Running ComfyUI_PuLID_Flux_ll_FaceNet requires installing the following Python package dependencies: cython, facenet-pytorch, facexlib, ftfy, insightface, onnxruntime, onnxruntime-gpu; sys_platform != 'darwin' and (platform_machine == 'x86_64' or platform_machine == 'AMD64'), timm. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
cython
facenet-pytorch
facexlib
ftfy
insightface
onnxruntime
onnxruntime-gpu; sys_platform != 'darwin' and (platform_machine == 'x86_64' or platform_machine == 'AMD64')
timm

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:

AAA Metadata System
by EricRollei128MB VRAM
AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_PuLID_Flux_ll_FaceNet require?

ComfyUI_PuLID_Flux_ll_FaceNet requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI_PuLID_Flux_ll_FaceNet on an RTX 3060, RTX 4070, or RTX 4090?

❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom

What PyTorch version does ComfyUI_PuLID_Flux_ll_FaceNet need?

ComfyUI_PuLID_Flux_ll_FaceNet requires the following PyTorch-related packages: facenet-pytorch. 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_PuLID_Flux_ll_FaceNet?

To run ComfyUI_PuLID_Flux_ll_FaceNet, you need to install: cython, facenet-pytorch, facexlib, ftfy, insightface, onnxruntime, onnxruntime-gpu; sys_platform != 'darwin' and (platform_machine == 'x86_64' or platform_machine == 'AMD64'), timm. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI_PuLID_Flux_ll_FaceNet in ComfyUI?

To install ComfyUI_PuLID_Flux_ll_FaceNet: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/KY-2000/ComfyUI_PuLID_Flux_ll_FaceNet, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.