ComfyUI DAM Object Extractor
A ComfyUI node that uses NVIDIA's DAM model to identify objects in masked regions
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI DAM Object Extractor 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
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Python Dependencies
Direct Answer: Running ComfyUI DAM Object Extractor requires installing the following Python package dependencies: accelerate>=1.1.1, diffusers>=0.21.4, huggingface-hub>=0.30.2, numpy>=1.26.4, opencv-python>=4.11.0, pillow>=11.2.1, safetensors>=0.5.3, timm>=1.0.12, torch>=2.5.1, torchvision>=0.20.1, transformers>=4.52.0.dev0. This node specifically requires PyTorch version 2.5.1 or newer.
accelerate>=1.1.1
diffusers>=0.21.4
huggingface-hub>=0.30.2
numpy>=1.26.4
opencv-python>=4.11.0
pillow>=11.2.1
safetensors>=0.5.3
timm>=1.0.12
torch>=2.5.1
torchvision>=0.20.1
transformers>=4.52.0.dev0🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.5.1+.
# Loading PyTorch command...