ComfyUI S4Motion

By S4MUEL404View on GitHub →

A set of ComfyUI nodes for animating a foreground layer over a background, with unified timing and high-quality composition. It includes effectors for rotation, position, path-following position, scale, opacity, distortion, and masking, plus a core node that composes frames and exports APNG/WEBP and a frame sequence.

How much VRAM does ComfyUI S4Motion require?

Direct Answer: The ComfyUI node ComfyUI S4Motion 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.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI S4Motion?

Direct Answer: Running ComfyUI S4Motion requires installing the following Python package dependencies: bezier>=0.12.0, numpy>=1.21.0, opencv-python>=4.5.0, pillow>=8.0.0, scikit-image>=0.19.0, scipy>=1.8.0, torch>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
bezier>=0.12.0
numpy>=1.21.0
opencv-python>=4.5.0
pillow>=8.0.0
scikit-image>=0.19.0
scipy>=1.8.0
torch>=2.0.0

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 2.0.0+.

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:

Bit Depth Enhancer
by subraoul128MB VRAM
ComfyUI-Goofer
by jbrick20704.0GB VRAM
ComfyUI-Grok-SmartVAE
by uczensokratesa4.0GB VRAM
Kraken Tools
by KrakenUnbound12.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI S4Motion require?

ComfyUI S4Motion requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI S4Motion on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI S4Motion need?

ComfyUI S4Motion requires the following PyTorch-related packages: torch>=2.0.0. 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 S4Motion?

To run ComfyUI S4Motion, you need to install: bezier>=0.12.0, numpy>=1.21.0, opencv-python>=4.5.0, pillow>=8.0.0, scikit-image>=0.19.0, scipy>=1.8.0, torch>=2.0.0. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI S4Motion in ComfyUI?

To install ComfyUI S4Motion: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/S4MUEL-404/ComfyUI-S4Motion, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.