ComfyUI-Pt-Wrapper
PyTorch extension for ComfyUI featuring extensive PyTorch wrapper nodes for seamless tensor operations and PyTorch model training.
How much VRAM does ComfyUI-Pt-Wrapper require?
Direct Answer: The ComfyUI node ComfyUI-Pt-Wrapper requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ 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!
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What Python packages are required for ComfyUI-Pt-Wrapper?
Direct Answer: Running ComfyUI-Pt-Wrapper requires installing the following Python package dependencies: accelerate>=1.5.2, datasets>=3.4.1, gensim==4.3.2, matplotlib>=3.10.0, pandas>=2.2.3, peft>=0.15.1, scikit-learn>=1.6.1, scipy>=1.14.1, seaborn>=0.13.2, sentencepiece>=0.2.0, transformers>=4.47.1. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=1.5.2
datasets>=3.4.1
gensim==4.3.2
matplotlib>=3.10.0
pandas>=2.2.3
peft>=0.15.1
scikit-learn>=1.6.1
scipy>=1.14.1
seaborn>=0.13.2
sentencepiece>=0.2.0
transformers>=4.47.1Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Pt-Wrapper require?
ComfyUI-Pt-Wrapper requires a minimum of 128MB (0.1GB) 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-Pt-Wrapper on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What Python packages are required for ComfyUI-Pt-Wrapper?
To run ComfyUI-Pt-Wrapper, you need to install: accelerate>=1.5.2, datasets>=3.4.1, gensim==4.3.2, matplotlib>=3.10.0, pandas>=2.2.3, peft>=0.15.1, scikit-learn>=1.6.1, scipy>=1.14.1, seaborn>=0.13.2, sentencepiece>=0.2.0, transformers>=4.47.1. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Pt-Wrapper?
ComfyUI-Pt-Wrapper 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-Pt-Wrapper in ComfyUI?
To install ComfyUI-Pt-Wrapper: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/HowToSD/ComfyUI-Pt-Wrapper, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.