ComfyUI-SkinToken

By RizzlordView on GitHub →

Automatic AI-powered 3D character rigging inside ComfyUI

How much VRAM does ComfyUI-SkinToken require?

Direct Answer: The ComfyUI node ComfyUI-SkinToken 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.

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What Python packages are required for ComfyUI-SkinToken?

Direct Answer: Running ComfyUI-SkinToken requires installing the following Python package dependencies: addict, diffusers>=0.35.0, einops, fast-simplification, huggingface_hub, lightning, numpy>=1.26.0, omegaconf, open3d, python-box, scipy, transformers>=4.57.0, trimesh. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
addict
diffusers>=0.35.0
einops
fast-simplification
huggingface_hub
lightning
numpy>=1.26.0
omegaconf
open3d
python-box
scipy
transformers>=4.57.0
trimesh

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:

AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM
ArtyClaw Comfy Nodes
by artyclaw256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-SkinToken require?

ComfyUI-SkinToken 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-SkinToken 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-SkinToken?

To run ComfyUI-SkinToken, you need to install: addict, diffusers>=0.35.0, einops, fast-simplification, huggingface_hub, lightning, numpy>=1.26.0, omegaconf, open3d, python-box, scipy, transformers>=4.57.0, trimesh. You can install these using pip or add them to your requirements.txt file.

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

ComfyUI-SkinToken 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-SkinToken in ComfyUI?

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