SJ_sweepEffect_Comfyui

By BEIBEI-star661View on GitHub →

A high-quality sweep light effect node designed specifically for ComfyUI, supporting multiple parameter adjustments and anti-aliasing.

How much VRAM does SJ_sweepEffect_Comfyui require?

Direct Answer: The ComfyUI node SJ_sweepEffect_Comfyui 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 SJ_sweepEffect_Comfyui?

Direct Answer: Running SJ_sweepEffect_Comfyui requires installing the following Python package dependencies: numpy>=1.21.0, opencv-python>=4.5.0, pillow>=8.0.0, torch>=1.13.0, torchvision>=0.14.0. This node specifically requires PyTorch version 1.13.0 or newer.

requirements.txt
numpy>=1.21.0
opencv-python>=4.5.0
pillow>=8.0.0
torch>=1.13.0
torchvision>=0.14.0

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 1.13.0+.

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 Fast Mosaic Detector
by yano128MB VRAM
ComfyUI-MiniMax-Remover
by 1038lab128MB VRAM
ComfyUI-QwenVL-Utils
by AkihaTatsu256MB VRAM
ComfyUI_Wan
by ru4ls4.0GB VRAM

Frequently Asked Questions

How much VRAM does SJ_sweepEffect_Comfyui require?

SJ_sweepEffect_Comfyui 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 SJ_sweepEffect_Comfyui 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 SJ_sweepEffect_Comfyui need?

SJ_sweepEffect_Comfyui requires the following PyTorch-related packages: torch>=1.13.0, torchvision>=0.14.0. 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 SJ_sweepEffect_Comfyui?

To run SJ_sweepEffect_Comfyui, you need to install: numpy>=1.21.0, opencv-python>=4.5.0, pillow>=8.0.0, torch>=1.13.0, torchvision>=0.14.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running SJ_sweepEffect_Comfyui?

SJ_sweepEffect_Comfyui 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 SJ_sweepEffect_Comfyui in ComfyUI?

To install SJ_sweepEffect_Comfyui: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/BEIBEI-star661/SJ_sweepEffect_Comfyui, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.