comfyui_LLM_schools

By heshengtaoView on GitHub →

ComfyUI node library for fine-tuning LLMs

How much VRAM does comfyui_LLM_schools require?

Direct Answer: The ComfyUI node comfyui_LLM_schools requires a minimum base VRAM of 128MB 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:
128MB (0.1GB)
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!

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Deploy on Cloud GPUs

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What Python packages are required for comfyui_LLM_schools?

Direct Answer: Running comfyui_LLM_schools requires installing the following Python package dependencies: datasets, huggingface_hub, peft, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
datasets
huggingface_hub
peft
transformers

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:

comfyui_LLM_party
by heshengtao128MB VRAM
ComfyUI-Regex-Runner
by orange90256MB VRAM
AIGODLIKE-COMFYUI-TRANSLATION
by AIGODLIKE128MB VRAM
AIRedoon
by purpen256MB VRAM

Frequently Asked Questions

How much VRAM does comfyui_LLM_schools require?

comfyui_LLM_schools requires a minimum of 128MB (0.1GB) 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_LLM_schools on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What Python packages are required for comfyui_LLM_schools?

To run comfyui_LLM_schools, you need to install: datasets, huggingface_hub, peft, transformers. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running comfyui_LLM_schools?

comfyui_LLM_schools 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_LLM_schools in ComfyUI?

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