ComfyUI-QwenVL
ComfyUI-QwenVL custom node: Integrates the Qwen-VL series, including Qwen2.5-VL and the latest Qwen3-VL, to enable advanced multimodal AI for text generation, image understanding, and video analysis.
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI-QwenVL 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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
🧮 Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
Python Dependencies
Direct Answer: Running ComfyUI-QwenVL requires installing the following Python package dependencies: accelerate, bitsandbytes, hf_xet, huggingface-hub, numpy, opencv-python, pillow, psutil, torch, transformers. Ensure your ComfyUI environment has these packages active before launching.
accelerate
bitsandbytes
hf_xet
huggingface-hub
numpy
opencv-python
pillow
psutil
torch
transformers🛠️ Interactive Setup & Dependency Resolver
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