Publish exact Juggernaut XI Lightning iOS Core ML artifact

ARTIFACT_MANIFEST.json

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+

LICENSE.md

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+# License and source terms
+
+This repository is a format- and device-optimized conversion of Juggernaut XL
+`Jugg_XI_Lightning_by_RD`, Civitai model version 920957. No model merge was
+performed by LocalMuse.
+
+The source version page displays **CreativeML Open RAIL++-M** and an addendum.
+The creator/config reference repository declares `creativeml-openrail-m`.
+Those source terms, restrictions, and attribution requirements continue to
+apply to this converted artifact.
+
+- Exact source version and displayed terms:
+  https://civitai.com/models/133005?modelVersionId=920957
+- Creator/config reference and model card:
+  https://huggingface.co/RunDiffusion/Juggernaut-XL-Lightning
+- SDXL model license reference:
+  https://github.com/Stability-AI/generative-models/blob/main/model_licenses/LICENSE-SDXL1.0
+
+This notice is informational and does not replace or narrow the upstream
+license or addendum. Users and redistributors are responsible for reviewing
+and complying with the current upstream terms.
+

PROVENANCE.md

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+# Provenance
+
+## Exact checkpoint
+
+- Creator: KandooAI / RunDiffusion
+- Civitai model: Juggernaut XL (133005)
+- Civitai version: Jugg_XI_Lightning_by_RD (920957)
+- File: `juggernautXL_juggXILightningByRD.safetensors`
+- Size: `7,105,348,616` bytes
+- SHA-256: `609fde646e7fc60a259ad67351e02258ac7929a0a1f5040049dfec6a15f37b1a`
+- Tensor validation: 2,515 tensors; no NaN or Infinity values
+
+## Architecture configuration
+
+The checkpoint is a single-file SDXL model. Only architecture configuration
+and tokenizer assets were taken from the creator reference repository:
+
+- Repository: `RunDiffusion/Juggernaut-XL-Lightning`
+- Revision: `9c35e7ca1112b7e567ae7b24400b83935909916d`
+- Config snapshot manifest SHA-256:
+  `4b05f6a337bcdf1a319054b9ad4493021993aea6d2760c774b7944e865d59481`
+
+All learned UNet, VAE, text encoder 1, and text encoder 2 tensors came from the
+authenticated Civitai checkpoint above. No learned weights were copied from
+the different checkpoint hosted in the reference repository.
+
+## Reproducible conversion
+
+- Apple converter: `apple/ml-stable-diffusion`
+- Converter revision: `e12202c1f6405b83918b58a5d097cd61e3e1f702`
+- LocalMuse wrappers: `Tools/CoreML/convert_sdxl_unet.py` and
+  `Tools/CoreML/convert_sdxl_text_encoders.py`
+- Resolution: 1024×1024 (`128×128` latent)
+- UNet: 6-bit palettized, `SPLIT_EINSUM`, two chunks
+- Text encoder 1: FP16
+- Text encoder 2: 8-bit palettized
+- VAE encoder/decoder: checkpoint-specific FP16 weights
+- Minimum target: iOS 17
+
+Conversion parity checks (PSNR): VAE decoder 106.3 dB, VAE encoder 101.5 dB,
+FP16 Core ML UNet 47.4 dB, text encoder 1 78.9 dB, text encoder 2 75.4 dB.
+All exceeded the 35 dB acceptance threshold. Every compiled component was
+loaded sequentially with Core ML using `CPU_ONLY` after compilation.
+
+## Tensor contracts
+
+- UNet input: `[2, 4, 128, 128]`
+- UNet output: `[2, 4, 128, 128]`
+- VAE encoder input: `[1, 3, 1024, 1024]`
+- VAE encoder output: `[1, 8, 128, 128]`
+- VAE decoder input: `[1, 4, 128, 128]`
+- VAE decoder output: `[1, 3, 1024, 1024]`
+- Text encoder token input: `[1, 77]`
+

README.md

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+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+library_name: coreml
+tags:
+  - coreml
+  - stable-diffusion-xl
+  - text-to-image
+  - image-to-image
+  - ios
+---
+
+# Juggernaut XI Lightning — LocalMuse Core ML
+
+This repository contains the iOS-optimized Core ML conversion used by
+LocalMuse. It was converted directly from the exact Civitai checkpoint
+`juggernautXL_juggXILightningByRD.safetensors` for Juggernaut XL version
+`Jugg_XI_Lightning_by_RD` (model version 920957). It is not a merge and does
+not reuse UNet, text encoder, or VAE weights from another LocalMuse model.
+
+## Recommended generation profile
+
+- Sampler: DPM++ SDE
+- Schedule: Karras
+- Steps: 6 (author range: 5–7)
+- CFG: 2.0 (author range: 1.5–2.0)
+- Clip skip: 2 (the SDXL converter exports the penultimate hidden layer)
+- Native LocalMuse canvas: 1024×1024
+- Suggested negative prompt: `CGI, Unreal, Airbrushed, Digital`
+
+## Optimization
+
+- UNet: 6-bit palettization, split into two Core ML programs
+- Text encoder 1: FP16
+- Text encoder 2: 8-bit palettization
+- VAE encoder and decoder: model-specific FP16 conversion
+- Attention: `SPLIT_EINSUM`
+- Deployment target: iOS 17
+- Runtime: Neural Engine-preferred UNet and GPU VAE decode in LocalMuse
+
+The compiled payload is fixed at 1024×1024. All large compiled weight files
+remain below the iOS 1 GiB per-file limit.
+
+See `PROVENANCE.md` and `ARTIFACT_MANIFEST.json` for authenticated source and
+artifact hashes.
+
+## Attribution and license
+
+Juggernaut XL is created by KandooAI / RunDiffusion. The source version is
+published on Civitai under the CreativeML Open RAIL++-M terms and its displayed
+addendum. Review the source page and `LICENSE.md` before redistribution or use.
+
+- Source version: https://civitai.com/models/133005?modelVersionId=920957
+- Creator/config reference: https://huggingface.co/RunDiffusion/Juggernaut-XL-Lightning
+

SOURCE_CONFIG_MANIFEST.json

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TextEncoder.mlmodelc/metadata.json

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+  {
+    "shortDescription" : "Stable Diffusion generates images conditioned on text and\/or other images as input through the diffusion process. Please refer to https:\/\/arxiv.org\/abs\/2112.10752 for details.",
+    "metadataOutputVersion" : "3.0",
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+        "isOptional" : "0",
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+        "shortDescription" : "Hidden states after the encoder layers",
+        "shape" : "[1, 77, 768]",
+        "name" : "hidden_embeds",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 768)",
+        "shortDescription" : "The version of the `last_hidden_state` output after pooling",
+        "shape" : "[1, 768]",
+        "name" : "pooled_outputs",
+        "type" : "MultiArray"
+      }
+    ],
+    "version" : "RunDiffusion\/Juggernaut-XL-Lightning",
+    "modelParameters" : [
+
+    ],
+    "author" : "Please refer to the Model Card available at huggingface.co\/RunDiffusion\/Juggernaut-XL-Lightning",
+    "specificationVersion" : 8,
+    "storagePrecision" : "Float16",
+    "license" : "OpenRAIL++-M (https:\/\/huggingface.co\/stabilityai\/stable-diffusion-xl-base-1.0\/blob\/main\/LICENSE.md)",
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+      "macCatalyst" : "17.0"
+    },
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+    "userDefinedMetadata" : {
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+      "com.github.apple.coremltools.source" : "torch==2.4.0",
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+    "method" : "predict"
+  }
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