ComfyUI Qwen VL Nodes

This repository provides ComfyUI nodes that wrap the latest vision-language and language-only checkpoints from the Qwen family. Both Qwen3 VL and Qwen2.5 VL models are supported for multimodal reasoning, alongside text-only Qwen2.5 models for prompt generation.

What's New

• Added support for the Qwen3 VL family (Qwen3-VL-4B-Thinking, Qwen3-VL-8B-Thinking, etc.).
• Retained compatibility with existing Qwen2.5 VL models.
• Text-only workflows continue to use the Qwen2.5 instruct checkpoints.

Sample Workflows

• Multimodal workflow example: workflow/Qwen2VL.json
• Text generation workflow example: workflow/qwen25.json

Installation

You can install through ComfyUI Manager (search for Qwen-VL wrapper for ComfyUI) or manually:

1. Clone the repository:

   git clone https://github.com/alexcong/ComfyUI_QwenVL.git
   

2. Change into the project directory:

   cd ComfyUI_QwenVL
   

3. Install dependencies (ensure you are inside your ComfyUI virtual environment if you use one):

   pip install -r requirements.txt
   

Supported Nodes

• Qwen2VL node – Multimodal generation with Qwen3 VL and Qwen2.5 VL checkpoints. Accepts images or videos as optional inputs alongside text prompts.
• Qwen2 node – Text-only generation backed by Qwen2.5 instruct models, with optional quantization for lower memory usage.

Both nodes expose parameters for temperature, maximum token count, quantization (none/4-bit/8-bit), and manual seeding. Set keep_model_loaded to True to cache models between runs.

Model Storage

Downloaded models are stored under ComfyUI/models/LLM/.