ComfyUI-GeekyRemB
GeekyRemB is a powerful suite of image processing nodes for ComfyUI, offering advanced background removal, animation, lighting effects, and keyframe-based positioning. Built on the rembg library with additional capabilities for chroma keying, mask refinement, realistic lighting, shadow generation, and dynamic animations.
How much VRAM does ComfyUI-GeekyRemB require?
Direct Answer: The ComfyUI node ComfyUI-GeekyRemB requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not 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-GeekyRemB?
Direct Answer: Running ComfyUI-GeekyRemB requires installing the following Python package dependencies: albumentations>=1.3.0 # Image augmentation library, dataclasses-json>=0.6.0 # Enhanced dataclass support, huggingface-hub>=0.17.0, kornia>=0.7.0 # Advanced computer vision operations, numpy>=1.24.0, onnxruntime>=1.16.0, onnxruntime-gpu>=1.16.0, opencv-python>=4.8.0, pillow>=10.0.0, psutil>=5.9.0 # Memory monitoring, rembg>=2.0.57, requests>=2.31.0, scikit-image>=0.21.0, scipy>=1.11.0, torch>=2.0.0, torchvision>=0.15.0, tqdm>=4.66.0, transformers>=4.35.0. This node specifically requires PyTorch version 2.0.0 or newer.
albumentations>=1.3.0 # Image augmentation library
dataclasses-json>=0.6.0 # Enhanced dataclass support
huggingface-hub>=0.17.0
kornia>=0.7.0 # Advanced computer vision operations
numpy>=1.24.0
onnxruntime>=1.16.0
onnxruntime-gpu>=1.16.0
opencv-python>=4.8.0
pillow>=10.0.0
psutil>=5.9.0 # Memory monitoring
rembg>=2.0.57
requests>=2.31.0
scikit-image>=0.21.0
scipy>=1.11.0
torch>=2.0.0
torchvision>=0.15.0
tqdm>=4.66.0
transformers>=4.35.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI-GeekyRemB require?
ComfyUI-GeekyRemB requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run ComfyUI-GeekyRemB on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom
What PyTorch version does ComfyUI-GeekyRemB need?
ComfyUI-GeekyRemB requires the following PyTorch-related packages: torch>=2.0.0, torchvision>=0.15.0. 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-GeekyRemB?
To run ComfyUI-GeekyRemB, you need to install: albumentations>=1.3.0 # Image augmentation library, dataclasses-json>=0.6.0 # Enhanced dataclass support, huggingface-hub>=0.17.0, kornia>=0.7.0 # Advanced computer vision operations, numpy>=1.24.0, onnxruntime>=1.16.0, onnxruntime-gpu>=1.16.0, opencv-python>=4.8.0, pillow>=10.0.0, psutil>=5.9.0 # Memory monitoring, rembg>=2.0.57, requests>=2.31.0, scikit-image>=0.21.0, scipy>=1.11.0, torch>=2.0.0, torchvision>=0.15.0, tqdm>=4.66.0, transformers>=4.35.0. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI-GeekyRemB in ComfyUI?
To install ComfyUI-GeekyRemB: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/GeekyGhost/ComfyUI-GeekyRemB, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.