Avatar Graph

By avatechaiView on GitHub →

Include nodes for sam + bpy operation, that allows workflow creations for generative 2d character rig.

How much VRAM does Avatar Graph require?

Direct Answer: The ComfyUI node Avatar Graph 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!

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 Avatar Graph?

Direct Answer: Running Avatar Graph requires installing the following Python package dependencies: bpy==3.6.0, einops, mediapipe, numpy, opencv-contrib-python, opencv-python, python-dotenv, segment-anything, torchvision, tqdm. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
bpy==3.6.0
einops
mediapipe
numpy
opencv-contrib-python
opencv-python
python-dotenv
segment-anything
torchvision
tqdm

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:

APISR IN COMFYUI
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Comfy EverAnimate
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ComfyUI Batch BBox Detector
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ComfyUI Batch Blend
by starfieldscreensaver4.0GB VRAM

Frequently Asked Questions

How much VRAM does Avatar Graph require?

Avatar Graph 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 Avatar Graph 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 Avatar Graph need?

Avatar Graph requires the following PyTorch-related packages: torchvision. 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 Avatar Graph?

To run Avatar Graph, you need to install: bpy==3.6.0, einops, mediapipe, numpy, opencv-contrib-python, opencv-python, python-dotenv, segment-anything, torchvision, tqdm. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Avatar Graph?

Avatar Graph 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 Avatar Graph in ComfyUI?

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