ComfyUI-Addoor
A collection of batch operation toolkits suitable for ComfyUI
How much VRAM does ComfyUI-Addoor require?
Direct Answer: The ComfyUI node ComfyUI-Addoor 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!
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What Python packages are required for ComfyUI-Addoor?
Direct Answer: Running ComfyUI-Addoor requires installing the following Python package dependencies: configparser>=5.0.0, filelock>=3.0.12, gradio>=3.0.0, huggingface_hub[cli,torch]>=0.10.0, matplotlib>=3.3.0, numpy>=1.21.0, openai>=1.0.0, opencv-python>=4.5.0, pillow>=9.0.0, pycryptodome>=3.15.0, requests>=2.31.0, scikit-image>=0.19.0, scipy>=1.7.0, torch>=1.9.0, torchvision>=0.10.0, tqdm>=4.62.0, zipfile36>=0.1.3. This node specifically requires PyTorch version 1.9.0 or newer.
configparser>=5.0.0
filelock>=3.0.12
gradio>=3.0.0
huggingface_hub[cli,torch]>=0.10.0
matplotlib>=3.3.0
numpy>=1.21.0
openai>=1.0.0
opencv-python>=4.5.0
pillow>=9.0.0
pycryptodome>=3.15.0
requests>=2.31.0
scikit-image>=0.19.0
scipy>=1.7.0
torch>=1.9.0
torchvision>=0.10.0
tqdm>=4.62.0
zipfile36>=0.1.3Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 1.9.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI-Addoor require?
ComfyUI-Addoor 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 ComfyUI-Addoor 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 ComfyUI-Addoor need?
ComfyUI-Addoor requires the following PyTorch-related packages: huggingface_hub[cli,torch]>=0.10.0, torch>=1.9.0, torchvision>=0.10.0. 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-Addoor?
To run ComfyUI-Addoor, you need to install: configparser>=5.0.0, filelock>=3.0.12, gradio>=3.0.0, huggingface_hub[cli,torch]>=0.10.0, matplotlib>=3.3.0, numpy>=1.21.0, openai>=1.0.0, opencv-python>=4.5.0, pillow>=9.0.0, pycryptodome>=3.15.0, requests>=2.31.0, scikit-image>=0.19.0, scipy>=1.7.0, torch>=1.9.0, torchvision>=0.10.0, tqdm>=4.62.0, zipfile36>=0.1.3. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Addoor?
ComfyUI-Addoor 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 ComfyUI-Addoor in ComfyUI?
To install ComfyUI-Addoor: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Eagle-CN/ComfyUI-Addoor, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.