Suplex Misc ComfyUI Nodes
Misc Nodes: ControlNet Selector Node, Load Optional ControlNet Model, Diffusers Selector, Save Image JPG No Meta, Multi Input Variable Rewrite
How much VRAM does Suplex Misc ComfyUI Nodes require?
Direct Answer: The ComfyUI node Suplex Misc ComfyUI Nodes requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 2048MB (2.0GB)
- Recommended GPU:
- 6GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
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 Suplex Misc ComfyUI Nodes?
Direct Answer: Running Suplex Misc ComfyUI Nodes requires installing the following Python package dependencies: numpy, pillow, psutil, pynvml. Ensure your ComfyUI environment has these packages active before launching.
numpy
pillow
psutil
pynvmlInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Suplex Misc ComfyUI Nodes require?
Suplex Misc ComfyUI Nodes requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run Suplex Misc ComfyUI Nodes on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom
What Python packages are required for Suplex Misc ComfyUI Nodes?
To run Suplex Misc ComfyUI Nodes, you need to install: numpy, pillow, psutil, pynvml. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Suplex Misc ComfyUI Nodes?
Suplex Misc ComfyUI 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 Suplex Misc ComfyUI Nodes in ComfyUI?
To install Suplex Misc ComfyUI Nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/saftle/uber_comfy_nodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.