Crystools

By CrystianView on GitHub →

With this suit, you can see the resources monitor, progress bar & time elapsed, metadata and compare between two images, compare between two JSONs, show any value to console/display, pipes, and more! This provides better nodes to load/save images, previews, etc, and see "hidden" data without loading a new workflow.

How much VRAM does Crystools require?

Direct Answer: The ComfyUI node Crystools requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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!

Deploy on High-Performance GPUs

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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for Crystools?

Direct Answer: Running Crystools requires installing the following Python package dependencies: deepdiff, jetson-stats; platform_machine == 'aarch64', numpy, piexif, pillow, py-cpuinfo, pynvml; platform_machine != 'aarch64', torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
deepdiff
jetson-stats; platform_machine == 'aarch64'
numpy
piexif
pillow
py-cpuinfo
pynvml; platform_machine != 'aarch64'
torch

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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

ComfyUI Int and Float Conversion Nodes
by danTheMonk256MB VRAM
ComfyUI Override Switch
by spacewarpstudio128MB VRAM
ComfyUI-connect-ui
by xingBaGan256MB VRAM
ComfyUI_mittimiWidthHeight
by mittimi128MB VRAM

Frequently Asked Questions

How much VRAM does Crystools require?

Crystools requires a minimum of 256MB (0.3GB) 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 Crystools on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What PyTorch version does Crystools need?

Crystools requires the following PyTorch-related packages: torch. 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 Crystools?

To run Crystools, you need to install: deepdiff, jetson-stats; platform_machine == 'aarch64', numpy, piexif, pillow, py-cpuinfo, pynvml; platform_machine != 'aarch64', torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Crystools?

Crystools 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 Crystools in ComfyUI?

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