| --- |
| license: creativeml-openrail-m |
| tags: |
| - image-to-image |
| - inpainting |
| - stable-diffusion |
| - stable-diffusion-1.5 |
| - dreamshaper |
| - coreml |
| - fp16 |
| - ios |
| base_model: Lykon/dreamshaper-8-inpainting |
| pipeline_tag: image-to-image |
| library_name: ml-stable-diffusion |
| --- |
| |
| # DreamShaper 8 Inpaint — Core ML FP16 for LocalMuse |
|
|
| This repository contains an unquantized FP16 Core ML conversion of |
| [DreamShaper 8 Inpainting by Lykon](https://huggingface.co/Lykon/dreamshaper-8-inpainting) |
| for the dedicated Inpaint workflow in the LocalMuse iOS app. |
|
|
| ## Provenance |
|
|
| - Source repository: `Lykon/dreamshaper-8-inpainting` |
| - Pinned source revision: `a09e9d0bb9849aaf46c8fc59dfa604796da15a39` |
| - Architecture: Stable Diffusion 1.5 Inpaint |
| - UNet input/output: `[2, 9, 64, 64]` → `[2, 4, 64, 64]` |
| - Fixed image resolution: 512×512 |
| - Storage precision: FP16 |
| - Quantization/palettization: none |
| - UNet attention graph: `SPLIT_EINSUM_V2` |
| - Core ML deployment target: iOS 17 |
| - Core ML execution policy in LocalMuse: CPU + GPU |
| - Conversion tooling: Apple `ml-stable-diffusion` commit |
| `e12202c1f6405b83918b58a5d097cd61e3e1f702`, Core ML Tools 8.3.0 |
|
|
| The UNet is split into two compiled graphs so every weight file remains below |
| 1 GB. The package includes the matching CLIP text encoder, VAE decoder, VAE |
| encoder and tokenizer. `PROVENANCE.json` records the exact authenticated source |
| files, conversion dependencies and SHA-256 of every compiled runtime artifact. |
|
|
| This package is only compatible with a true nine-channel Inpaint runtime. It |
| must not replace a normal four-channel SD 1.5 model. |
|
|
| ## Validation |
|
|
| The pinned PyTorch source was compared component-by-component with the Core ML |
| conversion before publication: |
|
|
| - UNet parity: 74.2 dB PSNR |
| - CLIP text encoder parity: 82.4 dB PSNR |
| - VAE decoder parity: 61.3 dB PSNR |
| - VAE encoder parity: 80.7 dB PSNR |
| - Compiled UNet input: `[2, 9, 64, 64]` |
| - Compiled UNet output: `[2, 4, 64, 64]` |
|
|
| ## Recommended settings |
|
|
| - Scheduler: DPM-Solver++ |
| - Steps: 25 |
| - Guidance scale: 7.0 |
| - Resolution: 512×512 |
| - Batch size: 1 on iOS |
| - Device memory class: 8 GB minimum in LocalMuse |
|
|
| ## License and attribution |
|
|
| DreamShaper 8 Inpainting is authored by Lykon and distributed under the |
| [CreativeML Open RAIL-M license](LICENSE). The files here are modified by |
| conversion to compiled Core ML FP16 format and by splitting the UNet graph. |
| No weights were retrained or quantized, and no additional restrictions are |
| imposed. The original license and its use-based restrictions continue to apply. |
|
|
| This repository does not imply endorsement by Lykon, Stability AI, CompVis, |
| Runway, Apple or Hugging Face. |
|
|
