SAMURAI Nodes for ComfyUI

By takemetosiberiaView on GitHub →

ComfyUI nodes for video object segmentation using [a/SAMURAI](https://github.com/yangchris11/samurai) model.

How much VRAM does SAMURAI Nodes for ComfyUI require?

Direct Answer: The ComfyUI node SAMURAI Nodes for ComfyUI requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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!

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Deploy on Cloud GPUs

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What Python packages are required for SAMURAI Nodes for ComfyUI?

Direct Answer: Running SAMURAI Nodes for ComfyUI requires installing the following Python package dependencies: hydra-core, loguru, numpy>=1.20.0, omegaconf, opencv-python>=4.5.0, pillow>=8.0.0, torch>=2.0.0, torchvision>=0.15.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
hydra-core
loguru
numpy>=1.20.0
omegaconf
opencv-python>=4.5.0
pillow>=8.0.0
torch>=2.0.0
torchvision>=0.15.0

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

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

ComfyUI-LightVAE
by ModelTC4.0GB VRAM
ComfyUI-QwenFrameSelector
by eddyhhlure1Eddy4.0GB VRAM
Seedance 2.0 BytePlus
by nnnnkatsu4.0GB VRAM
ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
Bit Depth Enhancer
by subraoul128MB VRAM

Frequently Asked Questions

How much VRAM does SAMURAI Nodes for ComfyUI require?

SAMURAI Nodes for ComfyUI requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run SAMURAI Nodes for ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does SAMURAI Nodes for ComfyUI need?

SAMURAI Nodes for ComfyUI requires the following PyTorch-related packages: torch>=2.0.0, torchvision>=0.15.0. 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 SAMURAI Nodes for ComfyUI?

To run SAMURAI Nodes for ComfyUI, you need to install: hydra-core, loguru, numpy>=1.20.0, omegaconf, opencv-python>=4.5.0, pillow>=8.0.0, torch>=2.0.0, torchvision>=0.15.0. You can install these using pip or add them to your requirements.txt file.

How do I install SAMURAI Nodes for ComfyUI in ComfyUI?

To install SAMURAI Nodes for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/takemetosiberia/ComfyUI-SAMURAI--SAM2-, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.