ComfyUI-Hunyuan3d-2-1
ComfyUI Wrapper for [a/Hunyuan3D v2.1](https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1) - From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
How much VRAM does ComfyUI-Hunyuan3d-2-1 require?
Direct Answer: The ComfyUI node ComfyUI-Hunyuan3d-2-1 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-Hunyuan3d-2-1?
Direct Answer: Running ComfyUI-Hunyuan3d-2-1 requires installing the following Python package dependencies: accelerate, configargparse, diffusers, huggingface-hub, meshlib, omegaconf, open3d, opencv-python, pybind11, pygltflib, pymeshlab, pytorch-lightning, pyyaml, safetensors, scikit-image, timm, transformers, trimesh, xatlas. Ensure your ComfyUI environment has these packages active before launching.
accelerate
configargparse
diffusers
huggingface-hub
meshlib
omegaconf
open3d
opencv-python
pybind11
pygltflib
pymeshlab
pytorch-lightning
pyyaml
safetensors
scikit-image
timm
transformers
trimesh
xatlasInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Hunyuan3d-2-1 require?
ComfyUI-Hunyuan3d-2-1 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-Hunyuan3d-2-1 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-Hunyuan3d-2-1 need?
ComfyUI-Hunyuan3d-2-1 requires the following PyTorch-related packages: pytorch-lightning. 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-Hunyuan3d-2-1?
To run ComfyUI-Hunyuan3d-2-1, you need to install: accelerate, configargparse, diffusers, huggingface-hub, meshlib, omegaconf, open3d, opencv-python, pybind11, pygltflib, pymeshlab, pytorch-lightning, pyyaml, safetensors, scikit-image, timm, transformers, trimesh, xatlas. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Hunyuan3d-2-1?
ComfyUI-Hunyuan3d-2-1 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-Hunyuan3d-2-1 in ComfyUI?
To install ComfyUI-Hunyuan3d-2-1: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/visualbruno/ComfyUI-Hunyuan3d-2-1, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.