ComfyUI-Qwen2-VL-Nodes

Name: ComfyUI-Qwen2-VL-Nodes
Author: darkpool999

A complete set of custom nodes for ComfyUI that integrates the Qwen2-VL vision-language model with all-in-one QWEN VLM MACHINE supporting Transformers and GGUF loading, plus image and video support.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-Qwen2-VL-Nodes requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)

Base VRAM:: 4096MB (4.0GB)
Recommended GPU:: 8GB+ VRAM
Low VRAM Mode:: ✗ Not supported
Estimation Confidence:: MEDIUM

🧮 Interactive VRAM Compatibility Estimator

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

Estimated Total VRAM: 3.00 GBTarget: 8 GB

✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Python Dependencies

Direct Answer: Running ComfyUI-Qwen2-VL-Nodes requires installing the following Python package dependencies: accelerate>=0.25.0, bitsandbytes>=0.41.0, einops, llama-cpp-python>=0.2.75, pillow>=9.0.0, qwen-vl-utils, torch>=2.0.0, transformers>=4.37.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt

accelerate>=0.25.0
bitsandbytes>=0.41.0
einops
llama-cpp-python>=0.2.75
pillow>=9.0.0
qwen-vl-utils
torch>=2.0.0
transformers>=4.37.0

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...

⚠️ Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:

# Loading PyTorch command...