ComfyUI-Zero123-Porting
Zero-1-to-3: Zero-shot One Image to 3D Object, unofficial porting of original [Zero123](https://github.com/cvlab-columbia/zero123)
How much VRAM does ComfyUI-Zero123-Porting require?
Direct Answer: The ComfyUI node ComfyUI-Zero123-Porting 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-Zero123-Porting?
Direct Answer: Running ComfyUI-Zero123-Porting requires installing the following Python package dependencies: albumentations==1.4.4, einops==0.8.0, imageio==2.34.1, imageio-ffmpeg==0.4.9, omegaconf==2.3.0, opencv-python==4.9.0.80, pudb==2024.1, pytorch-lightning==2.2.3, streamlit==1.33.0, test_tube==0.7.5, torch-fidelity==0.3.0, torchmetrics==1.3.2, transformers==4.40.1. Ensure your ComfyUI environment has these packages active before launching.
albumentations==1.4.4
einops==0.8.0
imageio==2.34.1
imageio-ffmpeg==0.4.9
omegaconf==2.3.0
opencv-python==4.9.0.80
pudb==2024.1
pytorch-lightning==2.2.3
streamlit==1.33.0
test_tube==0.7.5
torch-fidelity==0.3.0
torchmetrics==1.3.2
transformers==4.40.1Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Zero123-Porting require?
ComfyUI-Zero123-Porting 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-Zero123-Porting 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-Zero123-Porting need?
ComfyUI-Zero123-Porting requires the following PyTorch-related packages: pytorch-lightning==2.2.3, torch-fidelity==0.3.0, torchmetrics==1.3.2. 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-Zero123-Porting?
To run ComfyUI-Zero123-Porting, you need to install: albumentations==1.4.4, einops==0.8.0, imageio==2.34.1, imageio-ffmpeg==0.4.9, omegaconf==2.3.0, opencv-python==4.9.0.80, pudb==2024.1, pytorch-lightning==2.2.3, streamlit==1.33.0, test_tube==0.7.5, torch-fidelity==0.3.0, torchmetrics==1.3.2, transformers==4.40.1. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Zero123-Porting?
ComfyUI-Zero123-Porting 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-Zero123-Porting in ComfyUI?
To install ComfyUI-Zero123-Porting: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/kealiu/ComfyUI-Zero123-Porting, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.