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Core ML Suite for ComfyUI integrates custom nodes into ComfyUI workflows, enabling the use of Core ML models. It leverages the Apple Neural Engine on Apple Silicon (M1/M2) for enhanced performance, supporting both pre-obtained and user-converted models.
Welcome to ComfyUI-CoreMLSuite! This extension provides a set of custom nodes for that allow you to use Core ML models in your ComfyUI workflows. These models are designed to leverage the Apple Neural Engine (ANE) on Apple Silicon (M1/M2) machines, enhancing your workflows and improving performance.
In simple terms, Core ML models can help your ComfyUI work faster and more efficiently. For instance, during tests on an M2 Pro 32GB machine, the use of Core ML models sped up the generation of 512x512 images by approximately 1.5 to 2 times.
ComfyUI-CoreMLSuite integrates Core ML models into ComfyUI workflows. Core ML is a machine learning framework developed by Apple, designed to run machine learning models on Apple devices. By using Core ML models, you can take advantage of the Apple Neural Engine (ANE) for faster and more efficient processing.
Think of Core ML models as specialized tools that can accelerate your image generation tasks. For example, if you are generating images using Stable Diffusion, Core ML models can significantly reduce the time it takes to produce high-quality images.
ComfyUI-CoreMLSuite comes with a variety of features to enhance your workflows:
mlmodelc
and mlpackage
Files: Use different formats of Core ML models.ComfyUI-CoreMLSuite supports various models, each designed for specific tasks:
Here are some common issues and their solutions:
Solution: Using compiled models (.mlmodelc
files) instead of .mlpackage
files can reduce loading times.
Solution: Ensure that the model files are correctly placed in the models
directory and that the required dependencies are installed.
Solution: Check that the correct compute unit is selected and that the model is compatible with the expected parameters.
Q: How do I install ComfyUI-CoreMLSuite?
A: You can install it using the ComfyUI-Manager or manually by cloning the repository into the custom_nodes
directory of your ComfyUI.
Q: What hardware is supported? A: ComfyUI-CoreMLSuite is designed to work on Apple Silicon (M1/M2) machines, leveraging the Apple Neural Engine (ANE).
For more information, tutorials, and community support, check out the following resources:
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