Whykiki ComfyUI Toolset

By TheWhykikiView on GitHub →

A collection of useful nodes for ComfyUI that provide various workflow enhancements.

How much VRAM does Whykiki ComfyUI Toolset require?

Direct Answer: The ComfyUI node Whykiki ComfyUI Toolset requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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 Whykiki ComfyUI Toolset?

Direct Answer: Running Whykiki ComfyUI Toolset requires installing the following Python package dependencies: numpy, pillow, torch, torchvision. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
pillow
torch
torchvision

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:

Capitan-ConditioningEnhancer
by capitan01R128MB VRAM
Comfy-Topaz
by choey3.0GB VRAM
ComfyUI AF - Enhanced-HTML-Note
by alFrame128MB VRAM
ComfyUI AstroCorp Nodes
by AstroCorp128MB VRAM

Frequently Asked Questions

How much VRAM does Whykiki ComfyUI Toolset require?

Whykiki ComfyUI Toolset requires a minimum of 256MB (0.3GB) 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 Whykiki ComfyUI Toolset on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What PyTorch version does Whykiki ComfyUI Toolset need?

Whykiki ComfyUI Toolset requires the following PyTorch-related packages: torch, 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 Whykiki ComfyUI Toolset?

To run Whykiki ComfyUI Toolset, you need to install: numpy, pillow, torch, torchvision. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Whykiki ComfyUI Toolset?

Whykiki ComfyUI Toolset 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 Whykiki ComfyUI Toolset in ComfyUI?

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