ComfyUI-nunchaku
Nunchaku ComfyUI Node. Nunchaku is the inference that supports SVDQuant. SVDQuant is a new post-training training quantization paradigm for diffusion models, which quantize both the weights and activations of FLUX.1 to 4 bits, achieving 3.5× memory and 8.7× latency reduction on a 16GB laptop 4090 GPU. See more details: https://github.com/mit-han-lab/nunchaku
How much VRAM does ComfyUI-nunchaku require?
Direct Answer: The ComfyUI node ComfyUI-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.
- Base VRAM:
- 12288MB (12.0GB)
- Recommended GPU:
- 24GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- HIGH
Interactive VRAM Compatibility Estimator
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-nunchaku?
Direct Answer: Running ComfyUI-nunchaku requires installing the following Python package dependencies: accelerate>=1.10, diffusers>=0.35, facexlib, huggingface_hub>=0.34, insightface, onnxruntime, opencv-python, peft>=0.17, protobuf, sentencepiece, timm, tomli, transformers>=4.54. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=1.10
diffusers>=0.35
facexlib
huggingface_hub>=0.34
insightface
onnxruntime
opencv-python
peft>=0.17
protobuf
sentencepiece
timm
tomli
transformers>=4.54Interactive Setup & Dependency Resolver
# Loading command...Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does ComfyUI-nunchaku require?
ComfyUI-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-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 Python packages are required for ComfyUI-nunchaku?
To run ComfyUI-nunchaku, you need to install: accelerate>=1.10, diffusers>=0.35, facexlib, huggingface_hub>=0.34, insightface, onnxruntime, opencv-python, peft>=0.17, protobuf, sentencepiece, timm, tomli, transformers>=4.54. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI-nunchaku in ComfyUI?
To install ComfyUI-nunchaku: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/nunchaku-tech/ComfyUI-nunchaku, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.