WAS LMStudio Easy-Query

By wasView on GitHub →

LM Studio calls with image support and easy task directions.

How much VRAM does WAS LMStudio Easy-Query require?

Direct Answer: The ComfyUI node WAS LMStudio Easy-Query requires a minimum base VRAM of 512MB 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:
512MB (0.5GB)
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!

Deploy on High-Performance GPUs

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Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

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What Python packages are required for WAS LMStudio Easy-Query?

Direct Answer: Running WAS LMStudio Easy-Query requires installing the following Python package dependencies: lmstudio>=1.5.0, numpy>=1.23.0, pillow>=10.0.0, requests>=2.28.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
lmstudio>=1.5.0
numpy>=1.23.0
pillow>=10.0.0
requests>=2.28.0

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

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Frequently Asked Questions

How much VRAM does WAS LMStudio Easy-Query require?

WAS LMStudio Easy-Query requires a minimum of 512MB (0.5GB) 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 WAS LMStudio Easy-Query on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 13.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.1GB headroom

What Python packages are required for WAS LMStudio Easy-Query?

To run WAS LMStudio Easy-Query, you need to install: lmstudio>=1.5.0, numpy>=1.23.0, pillow>=10.0.0, requests>=2.28.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running WAS LMStudio Easy-Query?

WAS LMStudio Easy-Query 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 WAS LMStudio Easy-Query in ComfyUI?

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