ComfyUI-DyPE-Nunchaku

By UsonakiView on GitHub →

DyPE for FLUX. Nunchaku compatible fork.

How much VRAM does ComfyUI-DyPE-Nunchaku require?

Direct Answer: The ComfyUI node ComfyUI-DyPE-Nunchaku requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.

Extreme (>8GB)
Base VRAM:
12288MB (12.0GB)
Recommended GPU:
24GB+ VRAM
Low VRAM Mode:
✗ Not 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!

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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI-DyPE-Nunchaku?

Direct Answer: Running ComfyUI-DyPE-Nunchaku requires installing the following Python package dependencies: torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
torch

Interactive Setup & Dependency Resolver

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

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ FLUX.1

Related Custom Nodes

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

ApplySpectralLock
by lookuters2212.0GB VRAM
AspectAwareTiling
by huimengshiguang12.0GB VRAM
Atom_AI
by AtomAI-GR12.0GB VRAM
Bawk Nodes Collection
by juddisjudd12.0GB VRAM
Bobs_Latent_Optimizer
by bobsblazed12.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-DyPE-Nunchaku require?

ComfyUI-DyPE-Nunchaku requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-DyPE-Nunchaku on an RTX 3060, RTX 4070, or RTX 4090?

❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom

What PyTorch version does ComfyUI-DyPE-Nunchaku need?

ComfyUI-DyPE-Nunchaku 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 ComfyUI-DyPE-Nunchaku?

To run ComfyUI-DyPE-Nunchaku, you need to install: torch. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-DyPE-Nunchaku in ComfyUI?

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