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. Review the source model card and license restrictions before using or redistributing the model.