ComfyUI-KQube
Custom nodes for loading and applying KQUBE (.kqube) cubic projection layers onto diffusion models (SDXL)
How much VRAM does ComfyUI-KQube require?
Direct Answer: The ComfyUI node ComfyUI-KQube requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 8192MB (8.0GB)
- Recommended GPU:
- 12GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- HIGH
Interactive VRAM Compatibility Estimator
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 Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
What Python packages are required for ComfyUI-KQube?
Direct Answer: Running ComfyUI-KQube requires installing the following Python package dependencies: numpy>=1.24.0, safetensors>=0.4.0. Ensure your ComfyUI environment has these packages active before launching.
numpy>=1.24.0
safetensors>=0.4.0Interactive Setup & Dependency Resolver
# Loading command...Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does ComfyUI-KQube require?
ComfyUI-KQube requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run ComfyUI-KQube on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom
What Python packages are required for ComfyUI-KQube?
To run ComfyUI-KQube, you need to install: numpy>=1.24.0, safetensors>=0.4.0. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI-KQube in ComfyUI?
To install ComfyUI-KQube: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/IzumiKeita/ComfyUI_KQube, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.