ComfyUI-PuLID-Flux2

By iFayensView on GitHub →

PuLID adaptation for Flux.2 bringing consistent identity to generated images using face embedding and visual feature injection into Flux.2 model.

How much VRAM does ComfyUI-PuLID-Flux2 require?

Direct Answer: The ComfyUI node ComfyUI-PuLID-Flux2 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 Vast.ai

Deploy on Cloud GPUs

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🚀 Deploy on RunPod

What Python packages are required for ComfyUI-PuLID-Flux2?

Direct Answer: Running ComfyUI-PuLID-Flux2 requires installing the following Python package dependencies: insightface>=0.7.3, ml_dtypes==0.3.2, numpy<2.0.0, onnxruntime-gpu>=1.16.0, open-clip-torch>=3.2.0, opencv-python, safetensors>=0.4.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
insightface>=0.7.3
ml_dtypes==0.3.2
numpy<2.0.0
onnxruntime-gpu>=1.16.0
open-clip-torch>=3.2.0
opencv-python
safetensors>=0.4.0

Interactive Setup & Dependency Resolver

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

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ FLUX.1

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI Coherent Video Sampler Node
by ShmuelRonen12.0GB VRAM
ComfyUI Flux Trainer
by kijai12.0GB VRAM
ComfyUI nodes to use FluxClipWeight
by leeguandong12.0GB VRAM
ComfyUI-CLIPSlider
by RhizoNymph12.0GB VRAM
ComfyUI-HFRemoteVae
by kijai12.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-PuLID-Flux2 require?

ComfyUI-PuLID-Flux2 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-Flux2 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-Flux2 need?

ComfyUI-PuLID-Flux2 requires the following PyTorch-related packages: open-clip-torch>=3.2.0. 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-Flux2?

To run ComfyUI-PuLID-Flux2, you need to install: insightface>=0.7.3, ml_dtypes==0.3.2, numpy<2.0.0, onnxruntime-gpu>=1.16.0, open-clip-torch>=3.2.0, opencv-python, safetensors>=0.4.0. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-PuLID-Flux2 in ComfyUI?

To install ComfyUI-PuLID-Flux2: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/iFayens/ComfyUI-PuLID-Flux2, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.