license: openrail++
base_model: SG161222/RealVisXL_V5.0_Lightning
library_name: coreml
tags:
- coreml
- stable-diffusion-xl
- text-to-image
- image-to-image
- ios
- localmuse
RealVisXL V5.0 Lightning — exact-source 6-bit split Core ML
Self-contained SDXL package prepared for on-device use by the LocalMuse iOS app. Unlike the previous LocalMuse artifact, every learned component in this revision comes from the same pinned RealVisXL snapshot: UNet, both text encoders, VAE encoder and VAE decoder. The tokenizer files are also copied from that snapshot.
Authenticated source
- Repository:
SG161222/RealVisXL_V5.0_Lightning - Revision:
f4454158cedaab9f0688c199561d6c92525f3a85 - Snapshot manifest SHA-256:
b82b09421cb3cf593f0f57e3a3fa5858ec75409f2830e779f0184efb735d33ee - Civitai/Hugging Face fp16 checkpoint SHA-256:
fabcadd9330dcc4f9702063428d40b9d4d07168d8acefc819b8d1d9db466b3ec - UNet fp16 SHA-256:
1143cd2aaf65d24af34b5699d090aed724f6c0978c2ec5a5f56821ccb36260ce - TextEncoder fp16 SHA-256:
0a873801e35a008b17e228189a83a8b41e068ffe7bde7c1105e8c6e947758bc5 - TextEncoder2 fp16 SHA-256:
dfa429b268cd3f6297927f1fd3eacac04781b17ab4caa97892a461ff41400a5e - VAE fp16 SHA-256:
6353737672c94b96174cb590f711eac6edf2fcce5b6e91aa9d73c5adc589ee48 - License: CreativeML Open RAIL++-M (
LICENSE.md)
The source checkpoint hash is identical to Civitai RealVisXL V5.0 Lightning
(BakedVAE), model version 798204. No checkpoint merge or component
substitution is performed by this conversion.
Conversion
- Apple converter revision:
e12202c1f6405b83918b58a5d097cd61e3e1f702 - PyTorch
2.4.0, coremltools8.0, Diffusers0.30.2 - Fixed resolution:
1024 × 1024(128 × 128latent) - Classifier-free-guidance UNet batch:
2 - Attention:
SPLIT_EINSUM - UNet: 6-bit palettized, then split into two chunks below 1 GiB
- CLIP-L TextEncoder: FP16
- OpenCLIP-bigG TextEncoder2: 8-bit palettized
- VAE encoder and decoder: converted from the pinned RealVisXL VAE
- Minimum deployment target: iOS 17
Author-aligned runtime profile
- Sampler: DPM++ SDE Karras (single-step SDE with midpoint evaluation)
- Steps:
5by default;4–6recommended - CFG:
2.0by default;1.0–2.0recommended - Native generation:
1024 × 1024
Five requested scheduler steps execute nine UNet evaluations. This is not the ordinary DPM-Solver++ multistep scheduler and not DPM++ 2M SDE.
The author's reference images may include a separate Hi-Res pass. That pass is not baked into these model files and must be implemented by the client when enabled.
Validation
- VAE decoder parity:
106.3 dB - VAE encoder parity:
101.5 dB - TextEncoder parity:
81.1 dB - TextEncoder2 parity before 8-bit storage conversion:
55.2 dB - UNet Core ML parity before 6-bit storage conversion:
45.7 dB - Compiled contracts: UNet
[2, 4, 128, 128] → [2, 4, 128, 128], VAE1024 × 1024, both text encoders77tokens - Every compiled component loads successfully through Core ML on macOS with CPU-only compute. Final Neural Engine quality, memory and thermal validation must be performed on a supported 8 GiB iPhone before release.