zhihui_nodes_comfyui
ComfyUI node collection: text processing tools, image processing nodes, prompt generators and system prompt loaders, ect.
How much VRAM does zhihui_nodes_comfyui require?
Direct Answer: The ComfyUI node zhihui_nodes_comfyui requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
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
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.
Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
What Python packages are required for zhihui_nodes_comfyui?
Direct Answer: Running zhihui_nodes_comfyui requires installing the following Python package dependencies: accelerate, aiohttp, av, bitsandbytes, einops, huggingface_hub, modelscope, numpy, nvidia-ml-py, openai>=1.0.0, opencv-python, optimum, pillow, qwen-vl-utils, requests, sentencepiece, timm>=0.9.16, torch>=2.0.0, torchaudio, torchvision, transformers>=4.57.0, triton; sys_platform == 'linux', triton-windows; sys_platform == 'win32'. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate
aiohttp
av
bitsandbytes
einops
huggingface_hub
modelscope
numpy
nvidia-ml-py
openai>=1.0.0
opencv-python
optimum
pillow
qwen-vl-utils
requests
sentencepiece
timm>=0.9.16
torch>=2.0.0
torchaudio
torchvision
transformers>=4.57.0
triton; sys_platform == 'linux'
triton-windows; sys_platform == 'win32'Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does zhihui_nodes_comfyui require?
zhihui_nodes_comfyui requires a minimum of 256MB (0.3GB) 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 zhihui_nodes_comfyui on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom
What PyTorch version does zhihui_nodes_comfyui need?
zhihui_nodes_comfyui requires the following PyTorch-related packages: torch>=2.0.0, 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 zhihui_nodes_comfyui?
To run zhihui_nodes_comfyui, you need to install: accelerate, aiohttp, av, bitsandbytes, einops, huggingface_hub, modelscope, numpy, nvidia-ml-py, openai>=1.0.0, opencv-python, optimum, pillow, qwen-vl-utils, requests, sentencepiece, timm>=0.9.16, torch>=2.0.0, torchaudio, torchvision, transformers>=4.57.0, triton; sys_platform == 'linux', triton-windows; sys_platform == 'win32'. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running zhihui_nodes_comfyui?
zhihui_nodes_comfyui 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 zhihui_nodes_comfyui in ComfyUI?
To install zhihui_nodes_comfyui: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ZhiHui6/zhihui_nodes_comfyui, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.