RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0)

By rdawgemflView on GitHub →

Modern 3D Processing Nodes for ComfyUI - Optimized for CUDA 12.8 + PyTorch 2.9.0

How much VRAM does RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) require?

Direct Answer: The ComfyUI node RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) 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.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

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 RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0)?

Direct Answer: Running RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) requires installing the following Python package dependencies: assimp>=5.3.0, einops>=0.7.0, imageio>=2.31.0, matplotlib>=3.7.0, numpy>=1.24.0, open3d>=0.19.0, opencv-python>=4.8.0, pillow>=10.0.0, plyfile>=1.0.0, scikit-image>=0.21.0, scipy>=1.11.0, torch>=2.9.0, torchaudio>=2.9.0, torchvision>=0.24.0, tqdm>=4.65.0, trimesh>=4.0.0. This node specifically requires PyTorch version 2.9.0 or newer.

requirements.txt
assimp>=5.3.0
einops>=0.7.0
imageio>=2.31.0
matplotlib>=3.7.0
numpy>=1.24.0
open3d>=0.19.0
opencv-python>=4.8.0
pillow>=10.0.0
plyfile>=1.0.0
scikit-image>=0.21.0
scipy>=1.11.0
torch>=2.9.0
torchaudio>=2.9.0
torchvision>=0.24.0
tqdm>=4.65.0
trimesh>=4.0.0

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Special Environment Requirements:

Requires PyTorch version 2.9.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
4dgs-human-avatar-comfyui-nodes-dataset
by AndriiShramko4.0GB VRAM
AAA Metadata System
by EricRollei128MB VRAM
AMD Video Upscaler
by yasei-no-otoko3.0GB VRAM

Frequently Asked Questions

How much VRAM does RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) require?

RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) 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 RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) 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 RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) need?

RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) requires the following PyTorch-related packages: torch>=2.9.0, torchaudio>=2.9.0, torchvision>=0.24.0. 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 RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0)?

To run RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0), you need to install: assimp>=5.3.0, einops>=0.7.0, imageio>=2.31.0, matplotlib>=3.7.0, numpy>=1.24.0, open3d>=0.19.0, opencv-python>=4.8.0, pillow>=10.0.0, plyfile>=1.0.0, scikit-image>=0.21.0, scipy>=1.11.0, torch>=2.9.0, torchaudio>=2.9.0, torchvision>=0.24.0, tqdm>=4.65.0, 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 RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0)?

RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) 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 RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0) in ComfyUI?

To install RDAWG 3D Pack (CUDA 12.8 + PyTorch 2.9.0): (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/rdawgemfl/rdawg_3D_pack, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.