Akatz Custom Nodes

By akatz-aiView on GitHub →

Simple custom node pack for nodes I use in my workflows. Includes Dilate Mask Linear for animating masks.

How much VRAM does Akatz Custom Nodes require?

Direct Answer: The ComfyUI node Akatz Custom Nodes 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 Akatz Custom Nodes?

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

requirements.txt
numpy
opencv-python
pydub
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:

ATI_AudioReactive
by yukascomfy1.5GB VRAM
Artha-Gemini
by Cyrostar4.0GB VRAM
Bjornulf_custom_nodes
by justUmen256MB VRAM
ComfyUI FLOAT
by yuvraj108c4.0GB VRAM

Frequently Asked Questions

How much VRAM does Akatz Custom Nodes require?

Akatz Custom Nodes 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 Akatz Custom Nodes 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 Akatz Custom Nodes need?

Akatz Custom 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 Akatz Custom Nodes?

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

How can I reduce VRAM usage when running Akatz Custom Nodes?

Akatz Custom 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 Akatz Custom Nodes in ComfyUI?

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