Dimensional Latent Perlin for ComfyUI

By NeuralSamurAIView on GitHub →

Dimensional Latent Perlin is a custom node for ComfyUI that generates Perlin noise in the latent space. This node is designed to work seamlessly with various diffusion models and can be used as an alternative or complement to standard random noise generators in image generation pipelines.

How much VRAM does Dimensional Latent Perlin for ComfyUI require?

Direct Answer: The ComfyUI node Dimensional Latent Perlin for ComfyUI 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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Related Custom Nodes

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

Anima Adapter Loader
by sorryhyun128MB VRAM
Anima LoRA Comparison
by yunqiankuangyu128MB VRAM
Aspect Ratio Selector
by rTachibana128MB VRAM
AssetThingie
by pogo-pedagog128MB VRAM
Civitai Comfy Nodes
by civitai128MB VRAM

Frequently Asked Questions

How much VRAM does Dimensional Latent Perlin for ComfyUI require?

Dimensional Latent Perlin for ComfyUI 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 Dimensional Latent Perlin for ComfyUI 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

How can I reduce VRAM usage when running Dimensional Latent Perlin for ComfyUI?

Dimensional Latent Perlin for ComfyUI 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 Dimensional Latent Perlin for ComfyUI in ComfyUI?

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