ComfyUI-Magos-Nodes

By Magos Digital StudioView on GitHub →

DWPose & NLF skeleton editor, retargeter, and renderer for ComfyUI. Extract body/hand/face keypoints (+ optional NLF 3D) from video, edit them frame-by-frame in a full-screen timeline + dope sheet + graph + 3D orbit editor with animated camera, retarget DWPose proportions per-cluster, and render clean pose images. Outputs standard ComfyUI types — drives WanAnimate, ControlNet, SCAIL, LTX-Video, UniAnimate, and any other pose-driven pipeline.

How much VRAM does ComfyUI-Magos-Nodes require?

Direct Answer: The ComfyUI node ComfyUI-Magos-Nodes requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
2048MB (2.0GB)
Recommended GPU:
6GB+ 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!

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-Magos-Nodes?

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

requirements.txt
numpy
onnxruntime
opencv-python
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:

ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
AlekPet/ComfyUI_Custom_Nodes_AlekPet
by AlekPet256MB VRAM
Augment — Design Nodes for ComfyUI
by augment-lib256MB VRAM
BilboX's ComfyUI Custom Nodes
by syllebra256MB VRAM
ComfyUI Depth Anything TensorRT
by yuvraj108c128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Magos-Nodes require?

ComfyUI-Magos-Nodes requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-Magos-Nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom

What PyTorch version does ComfyUI-Magos-Nodes need?

ComfyUI-Magos-Nodes 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 ComfyUI-Magos-Nodes?

To run ComfyUI-Magos-Nodes, you need to install: numpy, onnxruntime, opencv-python, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-Magos-Nodes?

ComfyUI-Magos-Nodes 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-Magos-Nodes in ComfyUI?

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