lollms_nodes_suite

By ParisNeoView on GitHub →

lollms_nodes_suite is a set of nodes for comfyui that harnesses the power of lollms, a state-of-the-art AI text generation tool, to improve the quality of image generation.

How much VRAM does lollms_nodes_suite require?

Direct Answer: The ComfyUI node lollms_nodes_suite 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.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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 lollms_nodes_suite?

Direct Answer: Running lollms_nodes_suite requires installing the following Python package dependencies: lollms-client. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
lollms-client

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:

Anima Style Explorer
by fulletlab256MB VRAM
Chatbox Overlay node for ComfyUI
by Smuzzies256MB VRAM
Clh Tool for ComfyUI
by clhui256MB VRAM
Comfy UI Text List Product
by opvelll256MB VRAM
ComfyRage
by rakkarage256MB VRAM

Frequently Asked Questions

How much VRAM does lollms_nodes_suite require?

lollms_nodes_suite 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 lollms_nodes_suite 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 Python packages are required for lollms_nodes_suite?

To run lollms_nodes_suite, you need to install: lollms-client. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running lollms_nodes_suite?

lollms_nodes_suite 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 lollms_nodes_suite in ComfyUI?

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