ComfyUI-Qwen

Name: ComfyUI-Qwen
Author: SXQBW

The Qwen3 ComfyUI Integration is a powerful tool designed specifically for ComfyUI workflows, aiming to seamlessly integrate Qwen series large language models (LLMs).

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-Qwen requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)

Base VRAM:: 256MB (0.3GB)
Recommended GPU:: 4GB+ VRAM
Low VRAM Mode:: ✓ Supported
Estimation Confidence:: HIGH

🧮 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-Qwen requires installing the following Python package dependencies: accelerate>=1.0, huggingface-hub>=0.26.2, modelscope, torch>=2.6, transformers>=4.51.0. This node specifically requires PyTorch version 2.6 or newer.

requirements.txt

accelerate>=1.0
huggingface-hub>=0.26.2
modelscope
torch>=2.6
transformers>=4.51.0

🛠️ 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 2.6+.

To update PyTorch for your selected setup, run:

# Loading PyTorch command...