ComfyUI-3D-Pack
Make 3D assets generation in ComfyUI good and convenient as it generates image/video! This is an extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc.) using cutting edge algorithms (3DGS, NeRF, etc.) and models (InstantMesh, CRM, TripoSR, etc.) NOTE: Pre-built python wheels can manually download from [a/https://github.com/MrForExample/Comfy3D_Pre_Builds](https://github.com/MrForExample/Comfy3D_Pre_Builds) if automatic install failed
Quick Technical Summary: ComfyUI-3D-Pack
- Base VRAM Footprint:
- 4096 MB (8 GB Tier)
- Primary Dependencies:
- cmake, cumm==0.7.11, diffusers>=0.26.1, easydict, einops, fast-simplification, gpytoolbox, igraph, imageio, imageio-ffmpeg, iopath, jaxtyping, kornia, libigl, matplotlib, mmgp, nerfacc>=0.5.3, ninja, numpy, omegaconf, onnxruntime, open3d, open_clip_torch, opencv-python, packaging, pccm, peft, pillow, plyfile, pygithub, pygltflib, pyhocon, pymcubes, pymeshfix, pymeshlab, pytorch-lightning, pytorch_msssim, pyvista, realesrgan, rembg, requests, safetensors, scipy, slangtorch, spconv-cu126, torchmetrics, torchtyping>=0.1.5, tqdm, transformers>=4.36.2, trimesh, xatlas
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/MrForExample/ComfyUI-3D-Pack
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does ComfyUI-3D-Pack require?
Direct Answer: The ComfyUI node ComfyUI-3D-Pack 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
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for ComfyUI-3D-Pack:
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
Tired of renting cloud rigs? Run ComfyUI locally with absolute zero latency. Best entry-level ComfyUI experience. Avoids immediate VRAM limitations on basic LoRA training.
Are you the author of this node?
Help your users avoid out-of-memory errors by displaying this professional, dynamic VRAM badge on your GitHub README. Copy the markdown below to embed it with a backlink directly to this hardware specification profile.
What Python packages are required for ComfyUI-3D-Pack?
Direct Answer: Running ComfyUI-3D-Pack requires installing the following Python package dependencies: cmake, cumm==0.7.11, diffusers>=0.26.1, easydict, einops, fast-simplification, gpytoolbox, igraph, imageio, imageio-ffmpeg, iopath, jaxtyping, kornia, libigl, matplotlib, mmgp, nerfacc>=0.5.3, ninja, numpy, omegaconf, onnxruntime, open3d, open_clip_torch, opencv-python, packaging, pccm, peft, pillow, plyfile, pygithub, pygltflib, pyhocon, pymcubes, pymeshfix, pymeshlab, pytorch-lightning, pytorch_msssim, pyvista, realesrgan, rembg, requests, safetensors, scipy, slangtorch, spconv-cu126, torchmetrics, torchtyping>=0.1.5, tqdm, transformers>=4.36.2, trimesh, xatlas. Ensure your ComfyUI environment has these packages active before launching.
cmake
cumm==0.7.11
diffusers>=0.26.1
easydict
einops
fast-simplification
gpytoolbox
igraph
imageio
imageio-ffmpeg
iopath
jaxtyping
kornia
libigl
matplotlib
mmgp
nerfacc>=0.5.3
ninja
numpy
omegaconf
onnxruntime
open3d
open_clip_torch
opencv-python
packaging
pccm
peft
pillow
plyfile
pygithub
pygltflib
pyhocon
pymcubes
pymeshfix
pymeshlab
pytorch-lightning
pytorch_msssim
pyvista
realesrgan
rembg
requests
safetensors
scipy
slangtorch
spconv-cu126
torchmetrics
torchtyping>=0.1.5
tqdm
transformers>=4.36.2
trimesh
xatlasInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-3D-Pack require?
ComfyUI-3D-Pack 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-3D-Pack 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
How much VRAM does ComfyUI-3D-Pack take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), ComfyUI-3D-Pack runs smoothly on an RTX 3060 (12GB) with 6.8GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 17.6GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
What PyTorch version does ComfyUI-3D-Pack need?
ComfyUI-3D-Pack requires the following PyTorch-related packages: open_clip_torch, pytorch-lightning, pytorch_msssim, slangtorch, torchmetrics, torchtyping>=0.1.5. 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-3D-Pack?
To run ComfyUI-3D-Pack, you need to install: cmake, cumm==0.7.11, diffusers>=0.26.1, easydict, einops, fast-simplification, gpytoolbox, igraph, imageio, imageio-ffmpeg, iopath, jaxtyping, kornia, libigl, matplotlib, mmgp, nerfacc>=0.5.3, ninja, numpy, omegaconf, onnxruntime, open3d, open_clip_torch, opencv-python, packaging, pccm, peft, pillow, plyfile, pygithub, pygltflib, pyhocon, pymcubes, pymeshfix, pymeshlab, pytorch-lightning, pytorch_msssim, pyvista, realesrgan, rembg, requests, safetensors, scipy, slangtorch, spconv-cu126, torchmetrics, torchtyping>=0.1.5, tqdm, transformers>=4.36.2, trimesh, xatlas. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI-3D-Pack in ComfyUI?
To install ComfyUI-3D-Pack: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/MrForExample/ComfyUI-3D-Pack, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.