comfyui-triposr-simple
A minimal ComfyUI custom node package for converting images to 3D meshes using TripoSR and rendering them from 8 cardinal/intercardinal directions.
How much VRAM does comfyui-triposr-simple require?
Direct Answer: The ComfyUI node comfyui-triposr-simple 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-triposr-simple?
Direct Answer: Running comfyui-triposr-simple requires installing the following Python package dependencies: einops>=0.7.0, huggingface_hub>=0.20.0, numpy>=1.23.0, nvdiffrast>=0.4.0, omegaconf>=2.3.0, pillow>=9.0.0, pymcubes>=0.1.4 # Preferred - closest to torchmcubes behavior, pyopengl>=3.1.0, pyrender>=0.1.45, scikit-image>=0.21.0 # Fallback if PyMCubes unavailable, scikit-learn>=1.0.0, transformers>=4.35.0, trimesh>=4.0.0. Ensure your ComfyUI environment has these packages active before launching.
einops>=0.7.0
huggingface_hub>=0.20.0
numpy>=1.23.0
nvdiffrast>=0.4.0
omegaconf>=2.3.0
pillow>=9.0.0
pymcubes>=0.1.4 # Preferred - closest to torchmcubes behavior
pyopengl>=3.1.0
pyrender>=0.1.45
scikit-image>=0.21.0 # Fallback if PyMCubes unavailable
scikit-learn>=1.0.0
transformers>=4.35.0
trimesh>=4.0.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does comfyui-triposr-simple require?
comfyui-triposr-simple 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-triposr-simple 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-triposr-simple need?
comfyui-triposr-simple requires the following PyTorch-related packages: pymcubes>=0.1.4 # Preferred - closest to torchmcubes behavior. 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-triposr-simple?
To run comfyui-triposr-simple, you need to install: einops>=0.7.0, huggingface_hub>=0.20.0, numpy>=1.23.0, nvdiffrast>=0.4.0, omegaconf>=2.3.0, pillow>=9.0.0, pymcubes>=0.1.4 # Preferred - closest to torchmcubes behavior, pyopengl>=3.1.0, pyrender>=0.1.45, scikit-image>=0.21.0 # Fallback if PyMCubes unavailable, scikit-learn>=1.0.0, transformers>=4.35.0, trimesh>=4.0.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running comfyui-triposr-simple?
comfyui-triposr-simple 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-triposr-simple in ComfyUI?
To install comfyui-triposr-simple: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/P5ina/comfyui-triposr-simple, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.