ComfyUI LLM SDXL Adapter

By NeuroSenkoView on GitHub →

A comprehensive set of ComfyUI nodes for using Large Language Models (LLM) as text encoders for SDXL image generation through a trained adapter.

How much VRAM does ComfyUI LLM SDXL Adapter require?

Direct Answer: The ComfyUI node ComfyUI LLM SDXL Adapter requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
8192MB (8.0GB)
Recommended GPU:
12GB+ VRAM
Low VRAM Mode:
✗ Not 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 ComfyUI LLM SDXL Adapter?

Direct Answer: Running ComfyUI LLM SDXL Adapter requires installing the following Python package dependencies: einops, gguf>=0.17.1, safetensors, torch, transformers>=4.53.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
einops
gguf>=0.17.1
safetensors
torch
transformers>=4.53.1

Interactive Setup & Dependency Resolver

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

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ Stable Diffusion XL (SDXL)

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI-APQNodes
by AIPOQUE12.0GB VRAM
ComfyUI-DiffAid-Patches
by xmarre12.0GB VRAM
ComfyUI-FluxHallucinate
by isam202412.0GB VRAM
ComfyUI-HiddenImages
by GeekatplayStudio12.0GB VRAM
ComfyUI-LLM-CLIP
by molbal256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI LLM SDXL Adapter require?

ComfyUI LLM SDXL Adapter requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI LLM SDXL Adapter on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom

What PyTorch version does ComfyUI LLM SDXL Adapter need?

ComfyUI LLM SDXL Adapter requires the following PyTorch-related packages: torch. 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 LLM SDXL Adapter?

To run ComfyUI LLM SDXL Adapter, you need to install: einops, gguf>=0.17.1, safetensors, torch, transformers>=4.53.1. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI LLM SDXL Adapter in ComfyUI?

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