Extensions/ComfyUI-LLM-CLIP
ComfyUI Extension

ComfyUI-LLM-CLIP

These nodes allow you to use a distilled Qwen3-4B model as your text encoder in Stable Diffusion XL.

By molbal·Created 7 months ago·Updated 7 months ago· 5
molbal/ComfyUI-LLM-CLIP
Nodes2
On cloudLocal install
CategoryLLM_CLIP
Stars5
Updated7 months ago

Nodes (2)

LLM CLIP Loader (Qwen)
LLM_CLIP
LLM CLIP Text Encode
LLM_CLIP
Readme

LLM-CLIP Custom Nodes for ComfyUI

These nodes allow you to use a distilled Qwen3-4B model as your text encoder in Stable Diffusion XL.

Installation

  1. Download https://huggingface.co/molbal/qwen-clip-resampler-adapter/blob/main/resampler.pth and place it in the text encoders directory
  2. Navigate to your ComfyUI custom nodes folder.
  3. Clone this repository.
  4. Install the required Python packages.
pip install transformers accelerate peft bitsandbytes

Nodes

LLM CLIP Loader

This node loads the LLM and the Resampler weights.

  • base_repo_id: The Hugging Face ID of the base LLM (use unsloth/Qwen3-4B-unsloth-bnb-4bit).
  • resampler_name: The local .pth file containing your trained Resampler weights.
  • lora_repo_id: The Hugging Face ID or local path of your trained LoRA adapter. (use molbal/qwen-clip-resampler-adapter)

LLM CLIP Text Encode

This node converts your text prompt into SDXL conditioning.

  • text: Multiline input for your prompt.
  • clip_bundle: Connection from the Loader node.

Usage

img.png

Connect the CONDITIONING output from the LLM CLIP Text Encode node to the positive or negative inputs of a KSampler. This replaces the standard CLIP Text Encode nodes.