ComfyUI-ZMongo
Professional ZMongo Legal Operations suite for ComfyUI
How much VRAM does ComfyUI-ZMongo require?
Direct Answer: The ComfyUI node ComfyUI-ZMongo 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!
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-ZMongo?
Direct Answer: Running ComfyUI-ZMongo requires installing the following Python package dependencies: beautifulsoup4, docx2txt, flagembedding, flagembedding, google-genai, hnswlib; platform_machine != "ARM64" or platform_system != "Windows", langchain, langchain-community, motor, nest_asyncio, numpy, pandas, pillow, pymilvus, pymongo, pymupdf, pytest, python-docx, python-dotenv, python-snappy, quart, sentence-transformers, tiktoken, tkhtmlview, transformers. Ensure your ComfyUI environment has these packages active before launching.
beautifulsoup4
docx2txt
flagembedding
flagembedding
google-genai
hnswlib; platform_machine != "ARM64" or platform_system != "Windows"
langchain
langchain-community
motor
nest_asyncio
numpy
pandas
pillow
pymilvus
pymongo
pymupdf
pytest
python-docx
python-dotenv
python-snappy
quart
sentence-transformers
tiktoken
tkhtmlview
transformersInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-ZMongo require?
ComfyUI-ZMongo 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-ZMongo 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-ZMongo?
To run ComfyUI-ZMongo, you need to install: beautifulsoup4, docx2txt, flagembedding, flagembedding, google-genai, hnswlib; platform_machine != "ARM64" or platform_system != "Windows", langchain, langchain-community, motor, nest_asyncio, numpy, pandas, pillow, pymilvus, pymongo, pymupdf, pytest, python-docx, python-dotenv, python-snappy, quart, sentence-transformers, tiktoken, tkhtmlview, transformers. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-ZMongo?
ComfyUI-ZMongo 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-ZMongo in ComfyUI?
To install ComfyUI-ZMongo: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/CentralFloridaAttorney/ComfyUI-ZMongo, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.