comfyui_kj

By linghaView on GitHub →

comfyui_kj, A tool that can package workflows into projects and publish them to a WeChat Mini Program named Kaji, allowing charges to be collected from users.

How much VRAM does comfyui_kj require?

Direct Answer: The ComfyUI node comfyui_kj 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 comfyui_kj?

Direct Answer: Running comfyui_kj requires installing the following Python package dependencies: aiohttp, websockets. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
aiohttp
websockets

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:

BV Node Pack
by BlackVortexAI256MB VRAM
ComfyUI Execution Time Reporter
by njlent256MB VRAM
ComfyUI Nodes for External Tooling
by Acly256MB VRAM

Frequently Asked Questions

How much VRAM does comfyui_kj require?

comfyui_kj 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 comfyui_kj 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 Python packages are required for comfyui_kj?

To run comfyui_kj, you need to install: aiohttp, websockets. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfyui_kj?

comfyui_kj 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_kj in ComfyUI?

To install comfyui_kj: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/lingha0h/comfyui_kj, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.