Comfyui-Lama
Nodes: LamaaModelLoad, LamaApply, YamlConfigLoader. a costumer node is realized to remove anything/inpainting anything from a picture by mask inpainting.[w/WARN:This extension includes the entire model, which can result in a very long initial installation time, and there may be some compatibility issues with older dependencies and ComfyUI.]
How much VRAM does Comfyui-Lama require?
Direct Answer: The ComfyUI node Comfyui-Lama 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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Deploy on Cloud GPUs
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What Python packages are required for Comfyui-Lama?
Direct Answer: Running Comfyui-Lama requires installing the following Python package dependencies: albumentations==0.5.2, easydict==1.9.0, hydra-core==1.1.0, joblib, kornia==0.5.0, matplotlib, numpy, opencv-python, packaging, pandas, pytorch-lightning==1.2.9, pyyaml, scikit-image, scikit-learn, tabulate, tensorflow, tqdm, webdataset, wldhx.yadisk-direct. Ensure your ComfyUI environment has these packages active before launching.
albumentations==0.5.2
easydict==1.9.0
hydra-core==1.1.0
joblib
kornia==0.5.0
matplotlib
numpy
opencv-python
packaging
pandas
pytorch-lightning==1.2.9
pyyaml
scikit-image
scikit-learn
tabulate
tensorflow
tqdm
webdataset
wldhx.yadisk-directInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Comfyui-Lama require?
Comfyui-Lama 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-Lama 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 PyTorch version does Comfyui-Lama need?
Comfyui-Lama requires the following PyTorch-related packages: pytorch-lightning==1.2.9. 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-Lama?
To run Comfyui-Lama, you need to install: albumentations==0.5.2, easydict==1.9.0, hydra-core==1.1.0, joblib, kornia==0.5.0, matplotlib, numpy, opencv-python, packaging, pandas, pytorch-lightning==1.2.9, pyyaml, scikit-image, scikit-learn, tabulate, tensorflow, tqdm, webdataset, wldhx.yadisk-direct. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Comfyui-Lama?
Comfyui-Lama 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-Lama in ComfyUI?
To install Comfyui-Lama: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/hhhzzyang/Comfyui_Lama, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.