ComfyUI-LMCQ
ComfyUI small node toolkit, this toolkit is mainly to update some practical small nodes, to make a contribution to the comfyui ecosystem, PS: 'LMCQ' is the abbreviation of the team name NOTE: The files in the repo are not organized, which may lead to update issues.
How much VRAM does ComfyUI-LMCQ require?
Direct Answer: The ComfyUI node ComfyUI-LMCQ 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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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI-LMCQ?
Direct Answer: Running ComfyUI-LMCQ requires installing the following Python package dependencies: accelerate>=0.20.3, bitsandbytes>=0.43.0, cryptography>=41.0.0, diffusers>=0.19.3, numpy>=1.19.0, pyarmor>=9.0.6, pycryptodome>=3.18.0, torch>=1.7.0, transformers>=4.30. This node specifically requires PyTorch version 1.7.0 or newer.
accelerate>=0.20.3
bitsandbytes>=0.43.0
cryptography>=41.0.0
diffusers>=0.19.3
numpy>=1.19.0
pyarmor>=9.0.6
pycryptodome>=3.18.0
torch>=1.7.0
transformers>=4.30Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 1.7.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI-LMCQ require?
ComfyUI-LMCQ 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-LMCQ 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-LMCQ need?
ComfyUI-LMCQ requires the following PyTorch-related packages: torch>=1.7.0. 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-LMCQ?
To run ComfyUI-LMCQ, you need to install: accelerate>=0.20.3, bitsandbytes>=0.43.0, cryptography>=41.0.0, diffusers>=0.19.3, numpy>=1.19.0, pyarmor>=9.0.6, pycryptodome>=3.18.0, torch>=1.7.0, transformers>=4.30. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-LMCQ?
ComfyUI-LMCQ 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-LMCQ in ComfyUI?
To install ComfyUI-LMCQ: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/sebord/ComfyUI-LMCQ, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.