Comfyui_Qwen3-VL-Instruct
This is an implementation of [Qwen3-VL-Instruct](https://github.com/QwenLM/Qwen3-VL) by [ComfyUI](https://github.com/comfyanonymous/ComfyUI), which includes, but is not limited to, support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses.
How much VRAM does Comfyui_Qwen3-VL-Instruct require?
Direct Answer: The ComfyUI node Comfyui_Qwen3-VL-Instruct 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!
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What Python packages are required for Comfyui_Qwen3-VL-Instruct?
Direct Answer: Running Comfyui_Qwen3-VL-Instruct requires installing the following Python package dependencies: accelerate, av, bitsandbytes, huggingface_hub, numpy, opencv-python, optimum, pillow, qwen-vl-utils, torch, torchaudio, torchvision, transformers>=4.57.1, triton; sys_platform == 'linux', triton-windows; sys_platform == 'win32'. Ensure your ComfyUI environment has these packages active before launching.
accelerate
av
bitsandbytes
huggingface_hub
numpy
opencv-python
optimum
pillow
qwen-vl-utils
torch
torchaudio
torchvision
transformers>=4.57.1
triton; sys_platform == 'linux'
triton-windows; sys_platform == 'win32'Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Comfyui_Qwen3-VL-Instruct require?
Comfyui_Qwen3-VL-Instruct 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_Qwen3-VL-Instruct 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_Qwen3-VL-Instruct need?
Comfyui_Qwen3-VL-Instruct requires the following PyTorch-related packages: torch, torchaudio, torchvision. 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_Qwen3-VL-Instruct?
To run Comfyui_Qwen3-VL-Instruct, you need to install: accelerate, av, bitsandbytes, huggingface_hub, numpy, opencv-python, optimum, pillow, qwen-vl-utils, torch, torchaudio, torchvision, transformers>=4.57.1, triton; sys_platform == 'linux', triton-windows; sys_platform == 'win32'. You can install these using pip or add them to your requirements.txt file.
How do I install Comfyui_Qwen3-VL-Instruct in ComfyUI?
To install Comfyui_Qwen3-VL-Instruct: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.