comfyui-lsnet
A nodepack powered by LSNet that classifies and clusters artworks by style for fast and efficient style analysis.
How much VRAM does comfyui-lsnet require?
Direct Answer: The ComfyUI node comfyui-lsnet 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for comfyui-lsnet?
Direct Answer: Running comfyui-lsnet requires installing the following Python package dependencies: easydict, einops>=0.8.1, fvcore, matplotlib, matplotlib>=3.3.0, numpy>=1.19.0, pillow>=8.0.0, scikit-image, scikit-learn>=1.0.0, timm>=1.0.20, torch>=2.4.1, torchvision>=0.11.0, tqdm>=4.60.0, triton-windows; sys_platform == 'win32', wandb, yacs. This node specifically requires PyTorch version 2.4.1 or newer.
easydict
einops>=0.8.1
fvcore
matplotlib
matplotlib>=3.3.0
numpy>=1.19.0
pillow>=8.0.0
scikit-image
scikit-learn>=1.0.0
timm>=1.0.20
torch>=2.4.1
torchvision>=0.11.0
tqdm>=4.60.0
triton-windows; sys_platform == 'win32'
wandb
yacsInteractive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.4.1+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does comfyui-lsnet require?
comfyui-lsnet 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-lsnet 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 PyTorch version does comfyui-lsnet need?
comfyui-lsnet requires the following PyTorch-related packages: torch>=2.4.1, torchvision>=0.11.0. 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-lsnet?
To run comfyui-lsnet, you need to install: easydict, einops>=0.8.1, fvcore, matplotlib, matplotlib>=3.3.0, numpy>=1.19.0, pillow>=8.0.0, scikit-image, scikit-learn>=1.0.0, timm>=1.0.20, torch>=2.4.1, torchvision>=0.11.0, tqdm>=4.60.0, triton-windows; sys_platform == 'win32', wandb, yacs. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running comfyui-lsnet?
comfyui-lsnet 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-lsnet in ComfyUI?
To install comfyui-lsnet: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/spawner1145/comfyui-lsnet, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.