ComfyUI_LocalLLMNodes
A custom node pack for ComfyUI that allows you to run Large Language Models (LLMs) locally and use them for prompt generation and other text tasks directly within your ComfyUI workflows.
How much VRAM does ComfyUI_LocalLLMNodes require?
Direct Answer: The ComfyUI node ComfyUI_LocalLLMNodes 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.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for ComfyUI_LocalLLMNodes?
Direct Answer: Running ComfyUI_LocalLLMNodes requires installing the following Python package dependencies: huggingface_hub, llama-cpp-python>=0.1.0 # Or a specific version, torch>=2.0.0 # Or a specific version you know works, transformers>=4.38.0 # Or a specific version you know works. This node specifically requires PyTorch version 2.0.0 or newer.
huggingface_hub
llama-cpp-python>=0.1.0 # Or a specific version
torch>=2.0.0 # Or a specific version you know works
transformers>=4.38.0 # Or a specific version you know worksInteractive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI_LocalLLMNodes require?
ComfyUI_LocalLLMNodes 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_LocalLLMNodes 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 ComfyUI_LocalLLMNodes need?
ComfyUI_LocalLLMNodes requires the following PyTorch-related packages: torch>=2.0.0 # Or a specific version you know works. 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 ComfyUI_LocalLLMNodes?
To run ComfyUI_LocalLLMNodes, you need to install: huggingface_hub, llama-cpp-python>=0.1.0 # Or a specific version, torch>=2.0.0 # Or a specific version you know works, transformers>=4.38.0 # Or a specific version you know works. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_LocalLLMNodes?
ComfyUI_LocalLLMNodes 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_LocalLLMNodes in ComfyUI?
To install ComfyUI_LocalLLMNodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/kmlbdh/ComfyUI_LocalLLMNodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.