ComfyUI_QwenVL

★ 139

多模态Qwen-VL图文查询ComfyUI插件

ComfyUI 的 Qwen 多模态模型包装器，支持文本与单图查询，兼容 Qwen2.5 与 Qwen3-VL 系列，文本仅工作流使用 Qwen2.5 指令检查点。

💡 在 ComfyUI 中用 Qwen3/2.5 进行文本或单图问答与解析。

🍴 22 Forks💻 Python🔄 2025-11-29

📦 网盘链接待填入

📦 requirements.txt

torch
torchvision
numpy
pillow
huggingface_hub
accelerate
qwen-vl-utils
bitsandbytes
optimum
transformers>=4.57.1

📄 README

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:

Clone the repository:

“`bash

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

“`

Change into the project directory:

“`bash

cd ComfyUI_QwenVL

“`

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

“`bash

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/.