Core ML Suite for ComfyUI
This extension contains a set of custom nodes for ComfyUI that allow you to use Core ML models in your ComfyUI workflows. The models can be obtained here, or you can convert your own models using coremltools. The main motivation behind using Core ML models in ComfyUI is to allow you to utilize the ANE (Apple Neural Engine) on Apple Silicon (M1/M2) machines to improve performance.
VRAM Requirements
Direct Answer: The ComfyUI node Core ML Suite for ComfyUI 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.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
🧮 Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Deploy on High-Performance GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.
Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
Python Dependencies
Direct Answer: Running Core ML Suite for ComfyUI requires installing the following Python package dependencies: coreml-diffusion>=0.1.4,<0.2, coremltools>=9,<10, diffusers>=0.30, numpy>=2,<3. Ensure your ComfyUI environment has these packages active before launching.
coreml-diffusion>=0.1.4,<0.2
coremltools>=9,<10
diffusers>=0.30
numpy>=2,<3🛠️ Interactive Setup & Dependency Resolver
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