Loop Strip

By serhiiyashyn-sfView on GitHub →

Character animation nodes for ComfyUI: walk cycle detection, face-based centering, and sprite strip assembly.

How much VRAM does Loop Strip require?

Direct Answer: The ComfyUI node Loop Strip 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.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ 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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What Python packages are required for Loop Strip?

Direct Answer: Running Loop Strip requires installing the following Python package dependencies: numpy, opencv-python, requests, scipy, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
opencv-python
requests
scipy
torch

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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

Animated Mask Editor
by bisam204.0GB VRAM
ComfyBreakAnim
by LonicaMewinsky4.0GB VRAM
ComfyTimeline
by FemtoStudio4.0GB VRAM
ComfyUI ASCII Art Nodes
by LamEmil4.0GB VRAM
ComfyUI Brightwire Tools
by doctomiko4.0GB VRAM

Frequently Asked Questions

How much VRAM does Loop Strip require?

Loop Strip 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 Loop Strip 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 Loop Strip need?

Loop Strip requires the following PyTorch-related packages: torch. 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 Loop Strip?

To run Loop Strip, you need to install: numpy, opencv-python, requests, scipy, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Loop Strip?

Loop Strip 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 Loop Strip in ComfyUI?

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