ComfyUI-Qwen3.5

By DanielBartolicView on GitHub →

Custom ComfyUI node for Qwen3.5-9B — a unified natively multimodal model with image, video, and text understanding capabilities including thinking mode.

How much VRAM does ComfyUI-Qwen3.5 require?

Direct Answer: The ComfyUI node ComfyUI-Qwen3.5 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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What Python packages are required for ComfyUI-Qwen3.5?

Direct Answer: Running ComfyUI-Qwen3.5 requires installing the following Python package dependencies: huggingface-hub, numpy, pillow, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
huggingface-hub
numpy
pillow
torch

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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

AnimateDiff Evolved
by Kosinkadink4.0GB VRAM
Batch Video Loader
by skakjskj189212-tech4.0GB VRAM
COMFYUI-MODELINSTALLER
by Pis7i4.0GB VRAM
Chaser's Custom Nodes
by chaserhkj4.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Qwen3.5 require?

ComfyUI-Qwen3.5 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-Qwen3.5 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-Qwen3.5 need?

ComfyUI-Qwen3.5 requires the following PyTorch-related packages: torch. 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-Qwen3.5?

To run ComfyUI-Qwen3.5, you need to install: huggingface-hub, numpy, pillow, torch. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-Qwen3.5 in ComfyUI?

To install ComfyUI-Qwen3.5: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/DanielBartolic/ComfyUI-Qwen3.5, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.