---
license: creativeml-openrail-m
base_model: RunDiffusion/Juggernaut-XL-v6
tags:
  - coreml
  - stable-diffusion-xl
  - text-to-image
  - image-to-image
  - ios
  - localmuse
library_name: coreml
not-for-all-audiences: true
---

# Juggernaut XL V6 — Core ML 768×768

This repository contains the fixed-shape Core ML runtime package used by
LocalMuse for on-device text-to-image and image-to-image generation.

## Runtime configuration

- Resolution: 768×768 (latent 96×96)
- Model: non-distilled Juggernaut XL V6
- UNet attention: `SPLIT_EINSUM`
- UNet storage: 6-bit palettized
- UNet execution target: CPU and Neural Engine
- VAE execution target in LocalMuse: GPU
- Classifier-free guidance: supported
- Recommended sampler: DPM++ 2M Karras
- Recommended steps: 30–40
- Recommended CFG: 3–7
- Minimum LocalMuse device memory policy: 8 GiB

The UNet is distributed as `UnetChunk1.mlmodelc` and
`UnetChunk2.mlmodelc`. Both weight files are below 1 GiB. The package also
contains both SDXL text encoders, the 768×768 VAE decoder, and the VAE encoder
required for image-to-image and face-detail workflows.

## Provenance

- Source checkpoint: `RunDiffusion/Juggernaut-XL-v6`
- Source revision: `95b07c32cf8a3b8fe958799cc121fffcf4362680`
- Source checkpoint SHA-256: `1fe6c7ec54c786040cdabc7b4e89720069d97096922e20d01f13e7764412b47f`
- 768×768 Core ML component reference:
  `coreml-community/coreml-juggernautXL-v6_SDXL_8-bit`
- Component reference revision:
  `98146a1e3f3ca26f07d780e91063a12ea130547e`
- Apple conversion tools revision:
  `e12202c1f6405b83918b58a5d097cd61e3e1f702`
- Minimum Core ML deployment target: iOS 17

The model-specific UNet was converted from the pinned source checkpoint,
palettized to 6 bits, split into two ML Programs, and compiled with Xcode. The
fixed 768×768 SDXL text encoders and VAE components were taken from the pinned
Core ML component reference. Every runtime file is distributed through a
commit-pinned URL and authenticated by SHA-256 in the LocalMuse catalog.

## License

Juggernaut XL V6 and this converted derivative are distributed under the
CreativeML Open RAIL++-M terms in [LICENSE.md](LICENSE.md). Review the source
model card and license restrictions before using or redistributing the model.