ComfyUI Temporal Mask Tools

By nomadoorView on GitHub →

Utility collection of ComfyUI V3 nodes for stabilizing temporal segmentation masks while staying deterministic and torch-only.

How much VRAM does ComfyUI Temporal Mask Tools require?

Direct Answer: The ComfyUI node ComfyUI Temporal Mask Tools requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI Temporal Mask Tools?

Direct Answer: Running ComfyUI Temporal Mask Tools requires installing the following Python package dependencies: numpy>=1.24, opencv-python>=4.8, pytest>=7.4, pytest-mock>=3.11, torch>=2.0. This node specifically requires PyTorch version 2.0 or newer.

requirements.txt
numpy>=1.24
opencv-python>=4.8
pytest>=7.4
pytest-mock>=3.11
torch>=2.0

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+.

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-RndNanthu
by RndNanthu128MB VRAM
CNP Crop And Paste
by dapa5900128MB VRAM
ComfyUI-CorridorKey
by SeanBRVFX128MB VRAM
comfyui-memory-manager
by darshd9941256MB VRAM
ComfyUI LLM Toolkit
by comfy-deploy256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Temporal Mask Tools require?

ComfyUI Temporal Mask Tools requires a minimum of 256MB (0.3GB) 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 Temporal Mask Tools on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What PyTorch version does ComfyUI Temporal Mask Tools need?

ComfyUI Temporal Mask Tools requires the following PyTorch-related packages: torch>=2.0. 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 Temporal Mask Tools?

To run ComfyUI Temporal Mask Tools, you need to install: numpy>=1.24, opencv-python>=4.8, pytest>=7.4, pytest-mock>=3.11, torch>=2.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI Temporal Mask Tools?

ComfyUI Temporal Mask Tools 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 Temporal Mask Tools in ComfyUI?

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