ComfyUI  >  Nodes  >  Core ML Suite for ComfyUI

ComfyUI Extension: Core ML Suite for ComfyUI

Repo Name

ComfyUI-CoreMLSuite

Author
aszc-dev (Account age: 2736 days)
Nodes
View all nodes (7)
Latest Updated
6/28/2024
Github Stars
0.1K

How to Install Core ML Suite for ComfyUI

Install this extension via the ComfyUI Manager by searching for  Core ML Suite for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Core ML Suite for ComfyUI in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

Core ML Suite for ComfyUI Description

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.

Core ML Suite for ComfyUI Introduction

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.

How Core ML Suite for ComfyUI Works

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.

Core ML Suite for ComfyUI Features

ComfyUI-CoreMLSuite comes with a variety of features to enhance your workflows:

  • Loading Core ML UNet Models: Easily load and use Core ML UNet models in your workflows.
  • Support for ControlNet: Integrate ControlNet models for more control over image generation.
  • Support for ANE (Apple Neural Engine): Leverage the power of ANE for faster processing.
  • Support for CPU and GPU: Flexibility to run models on different hardware.
  • Support for mlmodelc and mlpackage Files: Use different formats of Core ML models.
  • Support for SDXL Models: Work with the latest SDXL models.
  • Support for LCM Models: Use Latent Consistency Models for efficient image generation.
  • Support for LoRAs: Integrate LoRA models for fine-tuning.
  • Model Conversion: Convert SD1.5, SDXL, and LCM models to Core ML format.

Core ML Suite for ComfyUI Models

ComfyUI-CoreMLSuite supports various models, each designed for specific tasks:

  • Core ML UNet Models: Used for image generation tasks.
  • ControlNet Models: Provide additional control over the image generation process.
  • SDXL Models: The latest models for high-quality image generation.
  • LCM Models: Designed for efficient image generation with fewer steps.
  • LoRA Models: Used for fine-tuning and enhancing model performance.

Troubleshooting Core ML Suite for ComfyUI

Here are some common issues and their solutions:

Issue: Models Take a Long Time to Load

Solution: Using compiled models (.mlmodelc files) instead of .mlpackage files can reduce loading times.

Issue: Model Conversion Fails

Solution: Ensure that the model files are correctly placed in the models directory and that the required dependencies are installed.

Issue: Errors During Image Generation

Solution: Check that the correct compute unit is selected and that the model is compatible with the expected parameters.

Frequently Asked Questions

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).

Learn More about Core ML Suite for ComfyUI

For more information, tutorials, and community support, check out the following resources:

  • Feel free to explore these resources to get the most out of ComfyUI-CoreMLSuite and enhance your AI art creation process.

Core ML Suite for ComfyUI Related Nodes

RunComfy

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.