ComfyUI-UniversalToolkit
A comprehensive toolkit based on ComfyUI, providing image, mask, audio, and tools nodes, fully modular and v3 compatible.
How much VRAM does ComfyUI-UniversalToolkit require?
Direct Answer: The ComfyUI node ComfyUI-UniversalToolkit requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 1536MB (1.5GB)
- Recommended GPU:
- 6GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
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 ComfyUI-UniversalToolkit?
Direct Answer: Running ComfyUI-UniversalToolkit requires installing the following Python package dependencies: aiohttp>=3.8.0, color-matcher, librosa>=0.8.0, numpy>=1.21.0, opencv-python>=4.5.0, pillow>=8.0.0, requests>=2.25.0, scipy>=1.7.0, soundfile>=0.10.0, torch>=1.9.0, torchaudio>=1.9.0, tqdm>=4.60.0. This node specifically requires PyTorch version 1.9.0 or newer.
aiohttp>=3.8.0
color-matcher
librosa>=0.8.0
numpy>=1.21.0
opencv-python>=4.5.0
pillow>=8.0.0
requests>=2.25.0
scipy>=1.7.0
soundfile>=0.10.0
torch>=1.9.0
torchaudio>=1.9.0
tqdm>=4.60.0Interactive 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-UniversalToolkit require?
ComfyUI-UniversalToolkit requires a minimum of 1536MB (1.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI-UniversalToolkit on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom
What PyTorch version does ComfyUI-UniversalToolkit need?
ComfyUI-UniversalToolkit requires the following PyTorch-related packages: torch>=1.9.0, torchaudio>=1.9.0. 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-UniversalToolkit?
To run ComfyUI-UniversalToolkit, you need to install: aiohttp>=3.8.0, color-matcher, librosa>=0.8.0, numpy>=1.21.0, opencv-python>=4.5.0, pillow>=8.0.0, requests>=2.25.0, scipy>=1.7.0, soundfile>=0.10.0, torch>=1.9.0, torchaudio>=1.9.0, tqdm>=4.60.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-UniversalToolkit?
ComfyUI-UniversalToolkit 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-UniversalToolkit in ComfyUI?
To install ComfyUI-UniversalToolkit: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/whmc76/ComfyUI-UniversalToolkit, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.