ComfyUI-Qwen-VL

By SXQBWView on GitHub →

A ComfyUI extension for Qwen-VL series large language models, supporting multi-modal functions such as text generation, image understanding, and video analysis.Support for Qwen2-VL, Qwen2.5-VL.

How much VRAM does ComfyUI-Qwen-VL require?

Direct Answer: The ComfyUI node ComfyUI-Qwen-VL 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

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!

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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI-Qwen-VL?

Direct Answer: Running ComfyUI-Qwen-VL requires installing the following Python package dependencies: accelerate>=1.0, bitsandbytes, huggingface-hub>=0.26.2, modelscope, numpy>=1.21.2, opencv-python>=4.11.0.86, pillow>=9.4.0, qwen-vl-utils, requests, torch>=2.0.1, torchvision>=0.15.2, transformers>=4.52.2. This node specifically requires PyTorch version 2.0.1 or newer.

requirements.txt
accelerate>=1.0
bitsandbytes
huggingface-hub>=0.26.2
modelscope
numpy>=1.21.2
opencv-python>=4.11.0.86
pillow>=9.4.0
qwen-vl-utils
requests
torch>=2.0.1
torchvision>=0.15.2
transformers>=4.52.2

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 2.0.1+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI DreamLight Node
by APZmedia128MB VRAM
ComfyUI Level Pixel
by LevelPixel128MB VRAM
ComfyUI Level Pixel Advanced
by LevelPixel128MB VRAM
VLM_nodes
by gokayfem256MB VRAM
ComfyUI-EACloudNodes
by EnragedAntelope128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Qwen-VL require?

ComfyUI-Qwen-VL requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-Qwen-VL on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI-Qwen-VL need?

ComfyUI-Qwen-VL requires the following PyTorch-related packages: torch>=2.0.1, torchvision>=0.15.2. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI-Qwen-VL?

To run ComfyUI-Qwen-VL, you need to install: accelerate>=1.0, bitsandbytes, huggingface-hub>=0.26.2, modelscope, numpy>=1.21.2, opencv-python>=4.11.0.86, pillow>=9.4.0, qwen-vl-utils, requests, torch>=2.0.1, torchvision>=0.15.2, transformers>=4.52.2. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-Qwen-VL in ComfyUI?

To install ComfyUI-Qwen-VL: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/SXQBW/ComfyUI-Qwen-VL, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.