Update models

README.md

@@ -0,0 +1,82 @@
+---
+license: other
+tags:
+- stable-diffusion
+- text-to-image
+- core-ml
+---
+
+# Stable Diffusion XL v0.9 Model Card
+
+This model was generated using [Apple’s repository](https://github.com/apple/ml-stable-diffusion) which has [ASCL](https://github.com/apple/ml-stable-diffusion/blob/main/LICENSE.md).
+
+This model card focuses on the model associated with the Stable Diffusion XL v0.9 Base model, codebase available [here](https://github.com/Stability-AI/generative-models).
+
+SDXL v0.9 consists of a two-step pipeline for latent diffusion: 
+First, we use a base model to generate latents of the desired output size. 
+In the second step, we use a specialized high-resolution model and apply a technique called SDEdit (https://arxiv.org/abs/2108.01073, also known as "img2img") 
+to the latents generated in the first step, using the same prompt.
+
+Only the base model is included here.
+
+These weights here have been converted to Core ML for use on Apple Silicon hardware.
+
+There are 2 variants of the Core ML weights:
+
+```
+coreml-stable-diffusion-xl-v0-9-base
+└── original
+    ├── compiled              # Swift inference, "original" attention
+    └── packages              # Python inference, "original" 
+```
+
+### Model Description
+
+- **Developed by:** Stability AI
+- **Model type:** Diffusion-based text-to-image generative model
+- **License:** [SDXL 0.9 Research License](https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/blob/main/LICENSE.md)
+- **Model Description:** This is a model that can be used to generate and modify images based on text prompts. It is a [Latent Diffusion Model](https://arxiv.org/abs/2112.10752) that uses two fixed, pretrained text encoders ([OpenCLIP-ViT/G](https://github.com/mlfoundations/open_clip) and [CLIP-ViT/L](https://github.com/openai/CLIP/tree/main)).
+- **Resources for more information:** [GitHub Repository](https://github.com/Stability-AI/generative-models) [SDXL paper on arXiv](https://arxiv.org/abs/2307.01952).
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** https://github.com/Stability-AI/generative-models
+- **Demo [optional]:** https://clipdrop.co/stable-diffusion
+
+## Uses
+
+### Direct Use
+
+The model is intended for research purposes only. Possible research areas and tasks include
+
+- Generation of artworks and use in design and other artistic processes.
+- Applications in educational or creative tools.
+- Research on generative models.
+- Safe deployment of models which have the potential to generate harmful content.
+- Probing and understanding the limitations and biases of generative models.
+
+Excluded uses are described below.
+
+### Out-of-Scope Use
+
+The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model.
+
+## Limitations and Bias
+
+### Limitations
+
+- The model does not achieve perfect photorealism
+- The model cannot render legible text
+- The model struggles with more difficult tasks which involve compositionality, such as rendering an image corresponding to “A red cube on top of a blue sphere”
+- Faces and people in general may not be generated properly.
+- The autoencoding part of the model is lossy.
+
+### Bias
+While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
+
+## Evaluation
+![comparison](https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/resolve/main/comparison.png)
+The chart above evaluates user preference for SDXL (with and without refinement) over Stable Diffusion 1.5 and 2.1. 
+The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance.

original/compiled/TextEncoder.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d41d9734f7cae96ac14e5a1a74bf2506518892f3181b371c796d6694d38aa59
+oid sha256:2d61ad418454b8cd2e529d2ca1c2d6752b38920bb991afc50c9b7a18cf9deba9
 size 207

original/compiled/TextEncoder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:676e8a6290fbaeaf1271e8e9d6d3ce3fa08c3078df6bf330e5c52584ba98fce8
-size 857
+oid sha256:31a51c152cd09c8f8e7313c74922e1cf9dcd219b84c27f583fc8c2bb0255aca4
+size 983

original/compiled/TextEncoder.mlmodelc/metadata.json

@@ -1,6 +1,6 @@
 [
   {
-    "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.",
+    "shortDescription" : "This is a model that can be used to generate and modify images based on text prompts.It is a Latent Diffusion Model that uses two fixed, pretrained text encoders (OpenCLIP-ViT\/G and CLIP-ViT\/L).Please refer to https:\/\/arxiv.org\/abs\/2307.01952 for details",
     "metadataOutputVersion" : "3.0",
     "outputSchema" : [
       {
@@ -30,21 +30,22 @@
     ],
     "author" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9",
     "specificationVersion" : 7,
-    "storagePrecision" : "Float32",
-    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "storagePrecision" : "Float16",
+    "license" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9\/blob\/main\/LICENSE.md",
     "mlProgramOperationTypeHistogram" : {
       "Ios16.sigmoid" : 12,
       "Ios16.add" : 37,
       "Ios16.mul" : 36,
+      "Ios16.softmax" : 12,
       "Transpose" : 60,
       "Ios16.gather" : 1,
       "Ios16.linear" : 72,
       "Ios16.reshape" : 120,
       "Ios16.matmul" : 24,
       "Ios16.layerNorm" : 25,
-      "Ios16.softmax" : 12
+      "Ios16.cast" : 2
     },
-    "computePrecision" : "Mixed (Int32, Float32)",
+    "computePrecision" : "Mixed (Float32, Int32, Float16)",
     "isUpdatable" : "0",
     "availability" : {
       "macOS" : "13.0",

original/compiled/TextEncoder.mlmodelc/weights/weight.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2110183f4dc569f0522faf609549ca716492a21801cbd3ece3289a0a11cdb85b
-size 492278308
+oid sha256:6cca5606968298f28e3caaf87f17ff97929e6b19d512ecd988a6487252d13f3e
+size 246145536

original/compiled/TextEncoder2.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eeb16c04fd05c6cbfbc31e02f12b46cd763948b046f5090e155394caab371330
+oid sha256:8ef8f4f1cf7c7b6982f2b471ed71745ba5fda876f0b1ffd121ccb3488e8351e2
 size 207

original/compiled/TextEncoder2.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e60db2852d139e6d33e5c6d4dd83a82e2af6da2ff48998b5a3efd46493bbb00e
-size 857
+oid sha256:31a51c152cd09c8f8e7313c74922e1cf9dcd219b84c27f583fc8c2bb0255aca4
+size 983

original/compiled/TextEncoder2.mlmodelc/metadata.json

@@ -1,6 +1,6 @@
 [
   {
-    "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.",
+    "shortDescription" : "This is a model that can be used to generate and modify images based on text prompts.It is a Latent Diffusion Model that uses two fixed, pretrained text encoders (OpenCLIP-ViT\/G and CLIP-ViT\/L).Please refer to https:\/\/arxiv.org\/abs\/2307.01952 for details",
     "metadataOutputVersion" : "3.0",
     "outputSchema" : [
       {
@@ -30,9 +30,10 @@
     ],
     "author" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9",
     "specificationVersion" : 7,
-    "storagePrecision" : "Float32",
-    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "storagePrecision" : "Float16",
+    "license" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9\/blob\/main\/LICENSE.md",
     "mlProgramOperationTypeHistogram" : {
+      "Ios16.cast" : 2,
       "Ios16.mul" : 32,
       "Ios16.layerNorm" : 65,
       "Stack" : 1,
@@ -47,7 +48,7 @@
       "Ios16.reshape" : 320,
       "Ios16.reduceArgmax" : 1
     },
-    "computePrecision" : "Mixed (Int32, Float32)",
+    "computePrecision" : "Mixed (Float32, Int32, Float16)",
     "isUpdatable" : "0",
     "availability" : {
       "macOS" : "13.0",

original/compiled/TextEncoder2.mlmodelc/weights/weight.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:20a38d041b247e8881e346ece58927362b11ee28ed7a92de5bf099ba8b72a73b
-size 2778701504
+oid sha256:7ef8c4f33384b8c36d50cd67651a109021140636446560a77e957bed9ac4b865
+size 1389367424

original/compiled/Unet.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3aad8ab40f69863996c71e3be7476eecdf0148c0db96fd31eeeda470077deeaf
+oid sha256:afab1e1bf38085ae7b9e976bd341abec70e994d89674f74c9728b2d8d185650a
 size 207

original/compiled/Unet.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:63184014d142d0c1aee7e320cfe06c5b55364fe9c72237d4ae0ddecea279bcd2
-size 1349
+oid sha256:34e11991f2c2b1cfcd418ac7060b429c72b0a6fcb3940ca84ff850eac215485d
+size 1717

original/compiled/Unet.mlmodelc/metadata.json

@@ -1,6 +1,6 @@
 [
   {
-    "shortDescription" : "Stable Diffusion generates images conditioned on text or other images as input through the diffusion process. Please refer to https:\/\/arxiv.org\/abs\/2112.10752 for details.",
+    "shortDescription" : "This is a model that can be used to generate and modify images based on text prompts.It is a Latent Diffusion Model that uses two fixed, pretrained text encoders (OpenCLIP-ViT\/G and CLIP-ViT\/L).Please refer to https:\/\/arxiv.org\/abs\/2307.01952 for details",
     "metadataOutputVersion" : "3.0",
     "outputSchema" : [
       {
@@ -20,8 +20,8 @@
     ],
     "author" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9",
     "specificationVersion" : 7,
-    "storagePrecision" : "Float32",
-    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "storagePrecision" : "Float16",
+    "license" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9\/blob\/main\/LICENSE.md",
     "mlProgramOperationTypeHistogram" : {
       "UpsampleNearestNeighbor" : 2,
       "Ios16.reduceMean" : 512,
@@ -34,19 +34,20 @@
       "Ios16.square" : 46,
       "ExpandDims" : 6,
       "Ios16.sub" : 256,
+      "Ios16.cast" : 1,
       "Ios16.conv" : 794,
       "Ios16.gelu" : 70,
       "Ios16.matmul" : 280,
       "Ios16.reshape" : 676,
-      "Ios16.rsqrt" : 210,
       "Ios16.batchNorm" : 46,
+      "Ios16.rsqrt" : 210,
       "Ios16.silu" : 38,
       "Ios16.sqrt" : 46,
       "SliceByIndex" : 4,
       "Ios16.mul" : 842,
       "Ios16.cos" : 2
     },
-    "computePrecision" : "Mixed (Float32, Int32)",
+    "computePrecision" : "Mixed (Float32, Float16, Int32)",
     "isUpdatable" : "0",
     "availability" : {
       "macOS" : "13.0",
@@ -62,8 +63,8 @@
       {
         "hasShapeFlexibility" : "0",
         "isOptional" : "0",
-        "dataType" : "Float32",
-        "formattedType" : "MultiArray (Float32 2 × 4 × 128 × 128)",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 2 × 4 × 128 × 128)",
         "shortDescription" : "The low resolution latent feature maps being denoised through reverse diffusion",
         "shape" : "[2, 4, 128, 128]",
         "name" : "sample",
@@ -72,8 +73,8 @@
       {
         "hasShapeFlexibility" : "0",
         "isOptional" : "0",
-        "dataType" : "Float32",
-        "formattedType" : "MultiArray (Float32 2)",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 2)",
         "shortDescription" : "A value emitted by the associated scheduler object to condition the model on a given noise schedule",
         "shape" : "[2]",
         "name" : "timestep",
@@ -82,8 +83,8 @@
       {
         "hasShapeFlexibility" : "0",
         "isOptional" : "0",
-        "dataType" : "Float32",
-        "formattedType" : "MultiArray (Float32 2 × 2048 × 1 × 77)",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 2 × 2048 × 1 × 77)",
         "shortDescription" : "Output embeddings from the associated text_encoder model to condition to generated image on text. A maximum of 77 tokens (~40 words) are allowed. Longer text is truncated. Shorter text does not reduce computation.",
         "shape" : "[2, 2048, 1, 77]",
         "name" : "encoder_hidden_states",
@@ -92,9 +93,9 @@
       {
         "hasShapeFlexibility" : "0",
         "isOptional" : "0",
-        "dataType" : "Float32",
-        "formattedType" : "MultiArray (Float32 2 × 1280)",
-        "shortDescription" : "",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 2 × 1280)",
+        "shortDescription" : "Additional embeddings passed to the unet based on the pooled output of the text encoders.",
         "shape" : "[2, 1280]",
         "name" : "text_embeds",
         "type" : "MultiArray"
@@ -102,9 +103,9 @@
       {
         "hasShapeFlexibility" : "0",
         "isOptional" : "0",
-        "dataType" : "Float32",
-        "formattedType" : "MultiArray (Float32 2 × 6)",
-        "shortDescription" : "",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 2 × 6)",
+        "shortDescription" : "Additional embeddings passed to the unet based on width and height dimensions.For SDXL, default values look like [1024, 1024, 0, 0, 1024, 1024]",
         "shape" : "[2, 6]",
         "name" : "time_ids",
         "type" : "MultiArray"

original/compiled/Unet.mlmodelc/weights/weight.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:230a9fc8889551b0918a06b8180d853a71a3989b03fea5e2e9a4deb01c42b70b
-size 10270025728
+oid sha256:a4ea70231f6ddd496d7bdf5a2342804a3379cc07858894e3b7d0405ce6ddac51
+size 5135067072

original/compiled/VAEDecoder.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fb6787f60fb9b486d6446ac1f0a079338090db09327f5ac6205be584c090d6be
+oid sha256:3cdeab9f108fbe64f0c0d010f12dc5ec310494651180c2d49ec841e2048eadaf
 size 207

original/compiled/VAEDecoder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:da0f7a9e420bb3c984b5a0ec7ae9da197aec0173345e72cc12e99b3cb1c9f634
-size 789
+oid sha256:8b118250857ca645b31395620884948e146637c4e3e3d5431ec921077de9d825
+size 915

original/compiled/VAEDecoder.mlmodelc/metadata.json

@@ -1,6 +1,6 @@
 [
   {
-    "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.",
+    "shortDescription" : "This is a model that can be used to generate and modify images based on text prompts.It is a Latent Diffusion Model that uses two fixed, pretrained text encoders (OpenCLIP-ViT\/G and CLIP-ViT\/L).Please refer to https:\/\/arxiv.org\/abs\/2307.01952 for details",
     "metadataOutputVersion" : "3.0",
     "outputSchema" : [
       {
@@ -21,7 +21,7 @@
     "author" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9",
     "specificationVersion" : 7,
     "storagePrecision" : "Float32",
-    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "license" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9\/blob\/main\/LICENSE.md",
     "mlProgramOperationTypeHistogram" : {
       "Ios16.mul" : 2,
       "Ios16.sqrt" : 30,

original/compiled/VAEDecoder.mlmodelc/weights/weight.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:18fad6c79d09981d3a2762ad56067bffc8ce1075ff04d02c600d9f389acdc135
+oid sha256:663fd963f7a13afa32b8c415944bd3652f3c249335d02e2f57ff02bc3ac447bc
 size 197977216

original/compiled/VAEEncoder.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4095a542239cda86e99e9bddb764910ef6849e945043d34f8f2687d0015ae403
+oid sha256:c3ca3543a6edddd2a8268d7380d9abf1a0855d5e7cb897f6dd64ae71eda21628
 size 207

original/compiled/VAEEncoder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:993e26b79e7209543da327b1e379ce4bdb4589bdc047068d3782c394428d6b29
-size 793
+oid sha256:91f3577db670a798e18e4c89c20e64af914d145df096422944051a8aa843341f
+size 919

original/compiled/VAEEncoder.mlmodelc/metadata.json

@@ -1,6 +1,6 @@
 [
   {
-    "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.",
+    "shortDescription" : "This is a model that can be used to generate and modify images based on text prompts.It is a Latent Diffusion Model that uses two fixed, pretrained text encoders (OpenCLIP-ViT\/G and CLIP-ViT\/L).Please refer to https:\/\/arxiv.org\/abs\/2307.01952 for details",
     "metadataOutputVersion" : "3.0",
     "outputSchema" : [
       {
@@ -20,14 +20,15 @@
     ],
     "author" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9",
     "specificationVersion" : 7,
-    "storagePrecision" : "Float32",
-    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "storagePrecision" : "Float16",
+    "license" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-xl-base-0.9\/blob\/main\/LICENSE.md",
     "mlProgramOperationTypeHistogram" : {
       "Pad" : 3,
+      "Ios16.cast" : 2,
       "Ios16.mul" : 2,
       "Ios16.sqrt" : 22,
       "Ios16.sub" : 22,
-      "Transpose" : 7,
+      "Transpose" : 6,
       "Ios16.conv" : 28,
       "Ios16.add" : 34,
       "Ios16.linear" : 4,
@@ -37,10 +38,10 @@
       "Ios16.softmax" : 1,
       "Ios16.batchNorm" : 21,
       "Ios16.square" : 22,
-      "Ios16.reshape" : 53,
+      "Ios16.reshape" : 49,
       "Ios16.silu" : 21
     },
-    "computePrecision" : "Mixed (Float32, Int32)",
+    "computePrecision" : "Mixed (Float16, Float32, Int32)",
     "isUpdatable" : "0",
     "availability" : {
       "macOS" : "13.0",
@@ -60,7 +61,7 @@
         "formattedType" : "MultiArray (Float32 1 × 3 × 1024 × 1024)",
         "shortDescription" : "The input image to base the initial latents on normalized to range [-1, 1]",
         "shape" : "[1, 3, 1024, 1024]",
-        "name" : "x",
+        "name" : "z",
         "type" : "MultiArray"
       }
     ],

original/compiled/VAEEncoder.mlmodelc/weights/weight.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d81117fbeac1fc04756a65c45ab9b19216ad90a3e1f3671422c1058ff5a33c94
-size 136668992
+oid sha256:d7da2b2913ea54fd16b4e333eb32c0037c9638b2d1c7d435693ed37126407b94
+size 68338112

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_text_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36b3de7a2f96c0c39ac7d41a812772ce5b4c4afd16add7ffee23e416e81a22d0
+size 160264

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_text_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6cca5606968298f28e3caaf87f17ff97929e6b19d512ecd988a6487252d13f3e
+size 246145536

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_text_encoder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "0350E48E-A8C6-426E-BDD6-166A73298B13": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        },
+        "D2BA910D-6F75-4199-8750-1D4B0492A4F1": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        }
+    },
+    "rootModelIdentifier": "D2BA910D-6F75-4199-8750-1D4B0492A4F1"
+}

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_text_encoder_2.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:528d719f21ac515b4a38b13c4d14045c408162cda304f98e1decacb81acbb069
+size 418177

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_text_encoder_2.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ef8c4f33384b8c36d50cd67651a109021140636446560a77e957bed9ac4b865
+size 1389367424

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_text_encoder_2.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "DCD7CD28-C7E6-41BF-9F4E-18E1D19CA36A": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        },
+        "F4A213FD-B395-4524-A121-16101CA91D5D": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        }
+    },
+    "rootModelIdentifier": "DCD7CD28-C7E6-41BF-9F4E-18E1D19CA36A"
+}

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_unet.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:083d5f3088e9fa90ad7ad095af5670851ff4cbc2bb1d0ccffc84187d44c39760
+size 2041217

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_unet.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4ea70231f6ddd496d7bdf5a2342804a3379cc07858894e3b7d0405ce6ddac51
+size 5135067072

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_unet.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "276D98D0-72D2-43C4-9645-A5B77B1015F5": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        },
+        "8EEB7D0C-8CE2-48E2-AB89-6209C6DCB419": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        }
+    },
+    "rootModelIdentifier": "276D98D0-72D2-43C4-9645-A5B77B1015F5"
+}

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_vae_decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5002d25626e356a2a6322a2beb56b50b81a97ebb2852ee5fb891c0972db1366e
+size 143856

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_vae_decoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:663fd963f7a13afa32b8c415944bd3652f3c249335d02e2f57ff02bc3ac447bc
+size 197977216

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_vae_decoder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "71C0A52F-911E-4A1F-8AEB-41D269851E22": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        },
+        "A45AFD33-166B-41F4-ADD9-9457DB486071": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        }
+    },
+    "rootModelIdentifier": "71C0A52F-911E-4A1F-8AEB-41D269851E22"
+}

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_vae_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cdc76cd1a7c13413fb720f20e3765a5750b297689cc73987d1312d734a0128df
+size 119781

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_vae_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7da2b2913ea54fd16b4e333eb32c0037c9638b2d1c7d435693ed37126407b94
+size 68338112

original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-xl-base-0.9_vae_encoder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "8663546A-C9EA-416B-9FB4-F20E32D69D13": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        },
+        "C73A6D8A-8FF2-4D7C-A47B-60917AD21914": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        }
+    },
+    "rootModelIdentifier": "C73A6D8A-8FF2-4D7C-A47B-60917AD21914"
+}