comfyui_qwen_runninghub

By marduk191View on GitHub →

Custom ComfyUI nodes for integrating RunningHub's AI image and video generation services into workflows. (Description by CC)

How much VRAM does comfyui_qwen_runninghub require?

Direct Answer: The ComfyUI node comfyui_qwen_runninghub 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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for comfyui_qwen_runninghub?

Direct Answer: Running comfyui_qwen_runninghub requires installing the following Python package dependencies: numpy>=1.21.0, pillow>=9.0.0, requests>=2.28.0, torch>=1.13.0. This node specifically requires PyTorch version 1.13.0 or newer.

requirements.txt
numpy>=1.21.0
pillow>=9.0.0
requests>=2.28.0
torch>=1.13.0

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 1.13.0+.

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 Fast Mosaic Detector
by yano128MB VRAM
ComfyUI-MiniMax-Remover
by 1038lab128MB VRAM
ComfyUI-QwenVL-Utils
by AkihaTatsu256MB VRAM

Frequently Asked Questions

How much VRAM does comfyui_qwen_runninghub require?

comfyui_qwen_runninghub 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_runninghub 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_runninghub need?

comfyui_qwen_runninghub requires the following PyTorch-related packages: torch>=1.13.0. 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_runninghub?

To run comfyui_qwen_runninghub, you need to install: numpy>=1.21.0, pillow>=9.0.0, requests>=2.28.0, torch>=1.13.0. You can install these using pip or add them to your requirements.txt file.

How do I install comfyui_qwen_runninghub in ComfyUI?

To install comfyui_qwen_runninghub: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/marduk191/comfyui_qwen_runninghub, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.