comfyui_EdgeTAM
A ComfyUI custom node implementation of EdgeTAM (On-Device Track Anything Model) for efficient, interactive video object tracking.
VRAM Requirements
Direct Answer: The ComfyUI node comfyui_EdgeTAM 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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
🧮 Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
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Python Dependencies
Direct Answer: Running comfyui_EdgeTAM requires installing the following Python package dependencies: huggingface-hub>=0.16.0, hydra-core>=1.1.0, moviepy>=1.0.3, numpy>=1.21.0, omegaconf>=2.1.0, opencv-python>=4.5.0, pillow>=8.3.0, torch>=2.3.1, torchvision>=0.18.1, tqdm>=4.62.0. This node specifically requires PyTorch version 2.3.1 or newer.
huggingface-hub>=0.16.0
hydra-core>=1.1.0
moviepy>=1.0.3
numpy>=1.21.0
omegaconf>=2.1.0
opencv-python>=4.5.0
pillow>=8.3.0
torch>=2.3.1
torchvision>=0.18.1
tqdm>=4.62.0🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.3.1+.
# Loading PyTorch command...