diffusionkit 0.1.0

Argmax Model Optimization Toolkit for Diffusion Models.

DiffusionKit

Run Diffusion Models on Apple Silicon with Core ML and MLX

This repository comprises

• diffusionkit, a Python package for converting PyTorch models to Core ML format and performing image generation with MLX in Python
• DiffusionKit, a Swift package for on-device inference of diffusion models using Core ML and MLX

Installation

The following installation steps are required for:

• MLX inference
• PyTorch to Core ML model conversion

Python Environment Setup

conda create -n diffusionkit python=3.11 -y
conda activate diffusionkit
cd /path/to/diffusionkit/repo
pip install -e .

Hugging Face Hub Credentials

Stable Diffusion 3 requires users to accept the terms before downloading the checkpoint. Once you accept the terms, sign in with your Hugging Face hub READ token as below:

huggingface-cli login --token YOUR_HF_HUB_TOKEN

Converting Models from PyTorch to Core ML

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Step 1: Follow the installation steps from the previous section Step 2: Prepare the denoise model (MMDiT) Core ML model files (.mlpackage)

python -m tests.torch2coreml.test_mmdit --sd3-ckpt-path <path-to-sd3-mmdit.safetensors> --model-version {2b} -o <output-mlpackages-directory> --latent-size {64, 128}

Step 3: Prepare the VAE Decoder Core ML model files (.mlpackage)

python -m tests.torch2coreml.test_vae --sd3-ckpt-path <path-to-sd3-mmdit.safetensors> -o <output-mlpackages-directory> --latent-size {64, 128}

Image Generation with Python MLX

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For simple text-to-image in float16 precision:

diffusionkit-cli --prompt "a photo of a cat" --output-path </path/to/output/image.png> --seed 0 --w16 --a16

Some notable optional arguments:

• For image-to-image, use --image-path (path to input image) and --denoise (value between 0. and 1.)
• T5 text embeddings, use --t5
• For different resolutions, use --height and --width

Please refer to the help menu for all available arguments: diffusionkit-cli -h.

Image Generation with Swift

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Core ML Swift

Apple Core ML Stable Diffusion is the initial Core ML backend for DiffusionKit. Stable Diffusion 3 support is upstreamed to that repository while we build the holistic Swift inference package.

MLX Swift

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