ComfyUI-Tensor-Prism-Node-Pack

By AstrionXView on GitHub →

Advanced model merging and enhancement nodes for ComfyUI

How much VRAM does ComfyUI-Tensor-Prism-Node-Pack require?

Direct Answer: The ComfyUI node ComfyUI-Tensor-Prism-Node-Pack 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 ComfyUI-Tensor-Prism-Node-Pack?

Direct Answer: Running ComfyUI-Tensor-Prism-Node-Pack requires installing the following Python package dependencies: ai, comfyui, custom-nodes, deep-learning, developmentStatus :: 4 - Beta, environment:: GPU :: NVIDIA CUDA, environment:: GPU :: AMD ROCm, environment:: GPU :: Apple Metal, intendedAudience :: Developers, intendedAudience :: Science/Research, license:: OSI Approved :: GNU General Public License v3 (GPLv3), machine-learning, model-merging, numpy>=1.21.0, operatingSystem :: OS Independent, programmingLanguage :: Python :: 3, programmingLanguage :: Python :: 3.8, programmingLanguage :: Python :: 3.9, programmingLanguage :: Python :: 3.10, programmingLanguage :: Python :: 3.11, psutil>=5.8.0, sdxl, spectral-merging, stable-diffusion, tensor-operations, topic:: Scientific/Engineering :: Artificial Intelligence, topic:: Multimedia :: Graphics, torch>=1.12.0. This node specifically requires PyTorch version 1.12.0 or newer.

requirements.txt
ai
comfyui
custom-nodes
deep-learning
developmentStatus :: 4 - Beta
environment:: GPU :: NVIDIA CUDA
environment:: GPU :: AMD ROCm
environment:: GPU :: Apple Metal
intendedAudience :: Developers
intendedAudience :: Science/Research
license:: OSI Approved :: GNU General Public License v3 (GPLv3)
machine-learning
model-merging
numpy>=1.21.0
operatingSystem :: OS Independent
programmingLanguage :: Python :: 3
programmingLanguage :: Python :: 3.8
programmingLanguage :: Python :: 3.9
programmingLanguage :: Python :: 3.10
programmingLanguage :: Python :: 3.11
psutil>=5.8.0
sdxl
spectral-merging
stable-diffusion
tensor-operations
topic:: Scientific/Engineering :: Artificial Intelligence
topic:: Multimedia :: Graphics
torch>=1.12.0

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 1.12.0+.

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-DistorchMemoryManager
by ussoewwin256MB VRAM
NodeSimpleExecutor
by KERRY-YUAN128MB VRAM
AIYang_TripleAPI
by AlexXia007256MB VRAM
Arctenoxs-Essentials_ComfyUI
by Arctenox256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Tensor-Prism-Node-Pack require?

ComfyUI-Tensor-Prism-Node-Pack 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-Tensor-Prism-Node-Pack 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-Tensor-Prism-Node-Pack need?

ComfyUI-Tensor-Prism-Node-Pack requires the following PyTorch-related packages: torch>=1.12.0. 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 ComfyUI-Tensor-Prism-Node-Pack?

To run ComfyUI-Tensor-Prism-Node-Pack, you need to install: ai, comfyui, custom-nodes, deep-learning, developmentStatus :: 4 - Beta, environment:: GPU :: NVIDIA CUDA, environment:: GPU :: AMD ROCm, environment:: GPU :: Apple Metal, intendedAudience :: Developers, intendedAudience :: Science/Research, license:: OSI Approved :: GNU General Public License v3 (GPLv3), machine-learning, model-merging, numpy>=1.21.0, operatingSystem :: OS Independent, programmingLanguage :: Python :: 3, programmingLanguage :: Python :: 3.8, programmingLanguage :: Python :: 3.9, programmingLanguage :: Python :: 3.10, programmingLanguage :: Python :: 3.11, psutil>=5.8.0, sdxl, spectral-merging, stable-diffusion, tensor-operations, topic:: Scientific/Engineering :: Artificial Intelligence, topic:: Multimedia :: Graphics, torch>=1.12.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-Tensor-Prism-Node-Pack?

ComfyUI-Tensor-Prism-Node-Pack 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-Tensor-Prism-Node-Pack in ComfyUI?

To install ComfyUI-Tensor-Prism-Node-Pack: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/AstrionX/ComfyUI-Tensor-Prism-Node-Pack, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.