ComfyUI_PuLID_Flux_ll

By lldacingView on GitHub →

The implementation for PuLID-Flux, support TeaCache, no model pollution.

How much VRAM does ComfyUI_PuLID_Flux_ll require?

Direct Answer: The ComfyUI node ComfyUI_PuLID_Flux_ll 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!

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_PuLID_Flux_ll?

Direct Answer: Running ComfyUI_PuLID_Flux_ll requires installing the following Python package dependencies: cython, 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
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...

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:

Bobs_LoRA_Loader
by bobsblazed12.0GB VRAM
ComfyUI Flux2 Untwisting RoPE
by xmarre12.0GB VRAM
ComfyUI-Chroma-RoPE
by clybius12.0GB VRAM
ComfyUI-Cloud-APIs
by BetaDoggo12.0GB VRAM
ComfyUI-FLUX-BFL-API
by gelasdev12.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_PuLID_Flux_ll require?

ComfyUI_PuLID_Flux_ll 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 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 Python packages are required for ComfyUI_PuLID_Flux_ll?

To run ComfyUI_PuLID_Flux_ll, you need to install: cython, 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 in ComfyUI?

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