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.
- 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.
- Multimodal workflow example:
workflow/Qwen2VL.json - Text generation workflow example:
workflow/qwen25.json
You can install through ComfyUI Manager (search for Qwen-VL wrapper for ComfyUI) or manually:
-
Clone the repository:
git clone https://github.com/alexcong/ComfyUI_QwenVL.git
-
Change into the project directory:
cd ComfyUI_QwenVL -
Install dependencies (ensure you are inside your ComfyUI virtual environment if you use one):
pip install -r requirements.txt
- 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.
Downloaded models are stored under ComfyUI/models/LLM/.