# 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

0. Download https://huggingface.co/molbal/qwen-clip-resampler-adapter/blob/main/resampler.pth and place it in the **text encoders** directory
1. Navigate to your ComfyUI custom nodes folder.
2. Clone this repository.
3. Install the required Python packages.
```bash
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](assets/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.