Qwen2.5-VL GGUF Nodes

By walke2019View on GitHub →

ComfyUI nodes for running GGUF quantized Qwen2.5-VL models using llama.cpp

How much VRAM does Qwen2.5-VL GGUF Nodes require?

Direct Answer: The ComfyUI node Qwen2.5-VL GGUF Nodes requires a minimum base VRAM of 128MB 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:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ 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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What Python packages are required for Qwen2.5-VL GGUF Nodes?

Direct Answer: Running Qwen2.5-VL GGUF Nodes requires installing the following Python package dependencies: accelerate>=1.11.0, huggingface-hub>=0.34.4, llama-cpp-python>=0.3.16, numpy>=1.26.4, pillow>=11.0.0, pyyaml>=6.0.2, requests>=2.32.5, transformers>=4.57.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate>=1.11.0
huggingface-hub>=0.34.4
llama-cpp-python>=0.3.16
numpy>=1.26.4
pillow>=11.0.0
pyyaml>=6.0.2
requests>=2.32.5
transformers>=4.57.1

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

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Frequently Asked Questions

How much VRAM does Qwen2.5-VL GGUF Nodes require?

Qwen2.5-VL GGUF Nodes requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run Qwen2.5-VL GGUF Nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What Python packages are required for Qwen2.5-VL GGUF Nodes?

To run Qwen2.5-VL GGUF Nodes, you need to install: accelerate>=1.11.0, huggingface-hub>=0.34.4, llama-cpp-python>=0.3.16, numpy>=1.26.4, pillow>=11.0.0, pyyaml>=6.0.2, requests>=2.32.5, transformers>=4.57.1. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Qwen2.5-VL GGUF Nodes?

Qwen2.5-VL GGUF Nodes supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install Qwen2.5-VL GGUF Nodes in ComfyUI?

To install Qwen2.5-VL GGUF Nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/walke2019/ComfyUI-GGUF-VLM, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.