ComfyUI S4Motion
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.
Quick Technical Summary: ComfyUI S4Motion
- Base VRAM Footprint:
- 4096 MB (8 GB Tier)
- Primary 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
- Min PyTorch / CUDA:
- PyTorch 2.0.0 | CUDA 12.1+
- GitHub Repository:
- https://github.com/S4MUEL-404/ComfyUI-S4Motion
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for ComfyUI S4Motion:
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
Tired of renting cloud rigs? Run ComfyUI locally with absolute zero latency. Best entry-level ComfyUI experience. Avoids immediate VRAM limitations on basic LoRA training.
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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.
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>=2.0.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...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
How much VRAM does ComfyUI S4Motion take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), ComfyUI S4Motion runs smoothly on an RTX 3060 (12GB) with 6.8GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 17.6GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
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.