Add files using upload-large-folder tool

SafetyChecker.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ce84e71c14d26c8d655425ebd3299692f1948e213228e9f427f9d7831cc5963
+size 243

SafetyChecker.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7425b537a536549ab5db59f87b7cde670cfaf1636a64f424710cbeeb70b893b0
+size 1543

SafetyChecker.mlmodelc/metadata.json

@@ -0,0 +1,130 @@
+[
+  {
+    "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",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 512 × 512 × 3)",
+        "shortDescription" : "Identical to the input `images`. If safety checker detected any sensitive content, the corresponding image is replaced with a blank image (zeros)",
+        "shape" : "[1, 512, 512, 3]",
+        "name" : "filtered_images",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 1 × 1 × 1)",
+        "shortDescription" : "Indicates whether the safety checker model found any sensitive content in the given image",
+        "shape" : "[1, 1, 1, 1]",
+        "name" : "has_nsfw_concepts",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 17)",
+        "shortDescription" : "Concept scores are the scores before thresholding at zero yields the `has_nsfw_concepts` output. These scores can be used to tune the `adjustment` input",
+        "shape" : "[1, 17]",
+        "name" : "concept_scores",
+        "type" : "MultiArray"
+      }
+    ],
+    "version" : "clover-image-tiny-inpaint",
+    "modelParameters" : [
+
+    ],
+    "author" : "Please refer to the Model Card available at huggingface.co\/clover-image-tiny-inpaint",
+    "specificationVersion" : 9,
+    "storagePrecision" : "Float16",
+    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.expandDims" : 4,
+      "Ios18.softmax" : 24,
+      "Ios18.mul" : 73,
+      "Ios18.matmul" : 48,
+      "Ios18.realDiv" : 1,
+      "Ios18.sigmoid" : 24,
+      "Ios18.equal" : 1,
+      "Ios18.greaterEqual" : 1,
+      "Select" : 2,
+      "Ios18.greater" : 4,
+      "Tile" : 4,
+      "Ios16.reduceSum" : 2,
+      "Ios18.add" : 52,
+      "Ios18.layerNorm" : 50,
+      "Ios18.scatterNd" : 1,
+      "Ios18.reshape" : 97,
+      "Shape" : 1,
+      "Ios18.maximum" : 1,
+      "Ios18.linear" : 147,
+      "Ios18.conv" : 1,
+      "Ios18.concat" : 2,
+      "Ios18.transpose" : 97,
+      "Ios18.cast" : 7,
+      "Ios18.sliceByIndex" : 2,
+      "NonZero" : 1,
+      "Ios16.reduceL2Norm" : 1
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int32)",
+    "stateSchema" : [
+
+    ],
+    "isUpdatable" : "0",
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 3 × 224 × 224)",
+        "shortDescription" : "The normalized image input tensor resized to (224x224) in channels-first (BCHW) format",
+        "shape" : "[1, 3, 224, 224]",
+        "name" : "clip_input",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 512 × 512 × 3)",
+        "shortDescription" : "Output of the vae_decoder (512x512) in channels-last (BHWC) format",
+        "shape" : "[1, 512, 512, 3]",
+        "name" : "images",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1)",
+        "shortDescription" : "Bias added to the concept scores to trade off increased recall for reduce precision in the safety checker classifier",
+        "shape" : "[1]",
+        "name" : "adjustment",
+        "type" : "MultiArray"
+      }
+    ],
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-08-10",
+      "com.github.apple.coremltools.source" : "torch==2.7.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "generatedClassName" : "Stable_Diffusion_version_clover_image_tiny_inpaint_safety_checker",
+    "method" : "predict"
+  }
+]

SafetyChecker.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ffdfb1a4774feb816dd2ccc3e304d109013bc9591e188dcab840789583fdc1b4
+size 607990114

TextEncoder.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:933b2c64d95e0816d52c0b77bd714a0f6e6a2ce7f11219521d8f130ab6adc696
+size 243

TextEncoder.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ce87b6dd6d848c36fefaf1a6808a1bf80839f3eb8d621eb8fdcb6a1077bc5f4
+size 946

TextEncoder.mlmodelc/metadata.json

@@ -0,0 +1,90 @@
+[
+  {
+    "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",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 77 × 768)",
+        "shortDescription" : "The token embeddings as encoded by the Transformer model",
+        "shape" : "[1, 77, 768]",
+        "name" : "last_hidden_state",
+        "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" : "clover-image-tiny-inpaint",
+    "modelParameters" : [
+
+    ],
+    "author" : "Please refer to the Model Card available at huggingface.co\/clover-image-tiny-inpaint",
+    "specificationVersion" : 9,
+    "storagePrecision" : "Float16",
+    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.linear" : 71,
+      "Ios18.matmul" : 24,
+      "Select" : 1,
+      "Ios18.reduceArgmax" : 1,
+      "Ios18.gather" : 1,
+      "Ios18.sigmoid" : 12,
+      "Ios18.add" : 38,
+      "Stack" : 1,
+      "Ios18.softmax" : 12,
+      "Ios18.layerNorm" : 25,
+      "Ios18.transpose" : 48,
+      "Ios18.cast" : 4,
+      "Ios18.gatherNd" : 1,
+      "Ios18.reshape" : 47,
+      "Ios18.greaterEqual" : 1,
+      "Ios18.mul" : 36
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int32, UInt16)",
+    "stateSchema" : [
+
+    ],
+    "isUpdatable" : "0",
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 77)",
+        "shortDescription" : "The token ids that represent the input text",
+        "shape" : "[1, 77]",
+        "name" : "input_ids",
+        "type" : "MultiArray"
+      }
+    ],
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-08-10",
+      "com.github.apple.coremltools.source" : "torch==2.7.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "generatedClassName" : "Stable_Diffusion_version_clover_image_tiny_inpaint_text_encoder",
+    "method" : "predict"
+  }
+]

TextEncoder.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79b9260c79cbb5b3ed22088fd2765aa5fc1b4b1c24a688537c2439276798ab0c
+size 244957824

UnetChunk1.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c79e4e6107a0878b51625390eb1389466e2df8b0ca2436f477dc6a2935484c9
+size 243

UnetChunk1.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f78341f190d8fd01269c31f7d0a7576f3df9cafa007f7dcf47915d9d598d4da
+size 532

UnetChunk1.mlmodelc/metadata.json

@@ -0,0 +1,180 @@
+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Float16",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 640 × 16 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 640, 16, 16]",
+        "name" : "input_65_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 1280 × 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 1280, 1, 256]",
+        "name" : "inputs_23_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 10240 × 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 10240, 1, 256]",
+        "name" : "var_2337_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 1280 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1280, 1, 1]",
+        "name" : "input_15_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 320 × 64 × 64)",
+        "shortDescription" : "",
+        "shape" : "[1, 320, 64, 64]",
+        "name" : "input_7_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 1280 × 16 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 1280, 16, 16]",
+        "name" : "hidden_states_61_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 320 × 64 × 64)",
+        "shortDescription" : "",
+        "shape" : "[1, 320, 64, 64]",
+        "name" : "input_35_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 640 × 32 × 32)",
+        "shortDescription" : "",
+        "shape" : "[1, 640, 32, 32]",
+        "name" : "input_63_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 320 × 32 × 32)",
+        "shortDescription" : "",
+        "shape" : "[1, 320, 32, 32]",
+        "name" : "input_37_cast_fp16",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 9,
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.expandDims" : 3,
+      "Ios18.softmax" : 64,
+      "Ios18.cos" : 1,
+      "Ios18.mul" : 68,
+      "Ios18.batchNorm" : 12,
+      "Ios16.reduceMean" : 24,
+      "Ios18.realDiv" : 12,
+      "Ios18.sin" : 1,
+      "Split" : 3,
+      "Ios18.add" : 34,
+      "Ios18.layerNorm" : 12,
+      "Ios18.reshape" : 31,
+      "Ios18.conv" : 66,
+      "Ios18.concat" : 11,
+      "Ios16.einsum" : 128,
+      "Ios18.sub" : 12,
+      "Ios18.silu" : 10,
+      "Ios18.transpose" : 8,
+      "Ios18.sqrt" : 12,
+      "Ios18.gelu" : 3,
+      "Ios18.square" : 12,
+      "Ios18.cast" : 9,
+      "Ios18.sliceByIndex" : 194
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int32)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 9 × 64 × 64)",
+        "shortDescription" : "",
+        "shape" : "[1, 9, 64, 64]",
+        "name" : "sample",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1)",
+        "shortDescription" : "",
+        "shape" : "[1]",
+        "name" : "timestep",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 768 × 1 × 77)",
+        "shortDescription" : "",
+        "shape" : "[1, 768, 1, 77]",
+        "name" : "encoder_hidden_states",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "Stable_Diffusion_version_clover_image_tiny_inpaint_unet_chunk1",
+    "method" : "predict"
+  }
+]

UnetChunk1.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15d72e32d29f8aa5813a0bc9fca0ccdf1063411b91c496ec20fa6a25af8fdc13
+size 324651584

UnetChunk2.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a468503aee82948546a734364424194ba66fe01ca5d4fd403fc75f7569234ed
+size 243

UnetChunk2.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45154abdc0829837df1817882dc4d6fe759241b60a55a316f735785999e3daac
+size 513

UnetChunk2.mlmodelc/metadata.json

@@ -0,0 +1,168 @@
+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Float16",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 4 × 64 × 64)",
+        "shortDescription" : "",
+        "shape" : "[1, 4, 64, 64]",
+        "name" : "noise_pred",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 9,
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.softmax" : 80,
+      "Ios18.mul" : 86,
+      "UpsampleNearestNeighbor" : 2,
+      "Ios18.batchNorm" : 16,
+      "Ios16.reduceMean" : 32,
+      "Ios18.realDiv" : 16,
+      "Split" : 6,
+      "Ios18.add" : 48,
+      "Ios18.layerNorm" : 15,
+      "Ios18.reshape" : 43,
+      "Ios18.conv" : 85,
+      "Ios18.gelu" : 6,
+      "Ios18.concat" : 15,
+      "Ios18.sub" : 16,
+      "Ios16.einsum" : 160,
+      "Ios18.silu" : 11,
+      "Ios18.cast" : 10,
+      "Ios18.transpose" : 10,
+      "Ios18.square" : 16,
+      "Ios18.sqrt" : 16,
+      "Ios18.sliceByIndex" : 240
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int32)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 768 × 1 × 77)",
+        "shortDescription" : "",
+        "shape" : "[1, 768, 1, 77]",
+        "name" : "encoder_hidden_states",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 320 × 64 × 64)",
+        "shortDescription" : "",
+        "shape" : "[1, 320, 64, 64]",
+        "name" : "input_7_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 640 × 16 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 640, 16, 16]",
+        "name" : "input_65_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 1280 × 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 1280, 1, 256]",
+        "name" : "inputs_23_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 1280 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1280, 1, 1]",
+        "name" : "input_15_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 1280 × 16 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 1280, 16, 16]",
+        "name" : "hidden_states_61_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 320 × 64 × 64)",
+        "shortDescription" : "",
+        "shape" : "[1, 320, 64, 64]",
+        "name" : "input_35_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 10240 × 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 10240, 1, 256]",
+        "name" : "var_2337_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 320 × 32 × 32)",
+        "shortDescription" : "",
+        "shape" : "[1, 320, 32, 32]",
+        "name" : "input_37_cast_fp16",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 640 × 32 × 32)",
+        "shortDescription" : "",
+        "shape" : "[1, 640, 32, 32]",
+        "name" : "input_63_cast_fp16",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "Stable_Diffusion_version_clover_image_tiny_inpaint_unet_chunk2",
+    "method" : "predict"
+  }
+]

UnetChunk2.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06720754c9b2d5f1165a7989f07be3cb8a879f68363b27f85820afb47ce9353d
+size 322211328

VAEDecoder.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd5e8ee0e1e8766ed20fc56a213be2a7319998d4603fad7d5d3fbf11f74b0fea
+size 243

VAEDecoder.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5871a4489e3fe7daf6244257e715f27c55281affea5d6fa0de0caefc8092615
+size 873

VAEDecoder.mlmodelc/metadata.json

@@ -0,0 +1,80 @@
+[
+  {
+    "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",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 3 × 512 × 512)",
+        "shortDescription" : "Generated image normalized to range [-1, 1]",
+        "shape" : "[1, 3, 512, 512]",
+        "name" : "image",
+        "type" : "MultiArray"
+      }
+    ],
+    "version" : "clover-image-tiny-inpaint",
+    "modelParameters" : [
+
+    ],
+    "author" : "Please refer to the Model Card available at huggingface.co\/clover-image-tiny-inpaint",
+    "specificationVersion" : 9,
+    "storagePrecision" : "Float16",
+    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.square" : 30,
+      "Ios18.batchNorm" : 29,
+      "Ios18.conv" : 36,
+      "Ios18.sub" : 30,
+      "Ios18.linear" : 4,
+      "Ios18.scaledDotProductAttention" : 1,
+      "Ios18.add" : 46,
+      "Ios18.realDiv" : 30,
+      "Ios18.silu" : 29,
+      "Ios16.reduceMean" : 60,
+      "UpsampleNearestNeighbor" : 3,
+      "Ios18.transpose" : 6,
+      "Ios18.cast" : 1,
+      "Ios18.reshape" : 65,
+      "Ios18.sqrt" : 30,
+      "Ios18.mul" : 1
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int32)",
+    "stateSchema" : [
+
+    ],
+    "isUpdatable" : "0",
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 4 × 64 × 64)",
+        "shortDescription" : "The denoised latent embeddings from the unet model after the last step of reverse diffusion",
+        "shape" : "[1, 4, 64, 64]",
+        "name" : "z",
+        "type" : "MultiArray"
+      }
+    ],
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-08-10",
+      "com.github.apple.coremltools.source" : "torch==2.7.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "generatedClassName" : "Stable_Diffusion_version_clover_image_tiny_inpaint_vae_decoder",
+    "method" : "predict"
+  }
+]

VAEDecoder.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca45a093443d3a9719c5f7c61010315e94ffc8019eff27a0eeb52075a05ac752
+size 98993280

VAEEncoder.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e060c88a7c335fc597b5a583d7e43da35ab398819dbfed9e57f5a02c28cffb15
+size 243

VAEEncoder.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4a4dfa8b3370da5e69a7ad0c14d06b3e1ce550a32ccc8dabb1f60e68ae53d0c
+size 877

VAEEncoder.mlmodelc/metadata.json

@@ -0,0 +1,80 @@
+[
+  {
+    "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",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float32",
+        "formattedType" : "MultiArray (Float32 1 × 8 × 64 × 64)",
+        "shortDescription" : "The latent embeddings from the unet model from the input image.",
+        "shape" : "[1, 8, 64, 64]",
+        "name" : "latent",
+        "type" : "MultiArray"
+      }
+    ],
+    "version" : "clover-image-tiny-inpaint",
+    "modelParameters" : [
+
+    ],
+    "author" : "Please refer to the Model Card available at huggingface.co\/clover-image-tiny-inpaint",
+    "specificationVersion" : 9,
+    "storagePrecision" : "Float16",
+    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.square" : 22,
+      "Ios18.batchNorm" : 21,
+      "Ios18.mul" : 1,
+      "Ios18.sub" : 22,
+      "Ios18.conv" : 28,
+      "Ios18.linear" : 4,
+      "Ios18.scaledDotProductAttention" : 1,
+      "Ios18.add" : 34,
+      "Ios18.realDiv" : 22,
+      "Ios18.silu" : 21,
+      "Ios16.reduceMean" : 44,
+      "Ios18.transpose" : 6,
+      "Ios18.cast" : 1,
+      "Ios18.reshape" : 49,
+      "Ios18.sqrt" : 22,
+      "Pad" : 3
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int32)",
+    "stateSchema" : [
+
+    ],
+    "isUpdatable" : "0",
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 3 × 512 × 512)",
+        "shortDescription" : "The input image to base the initial latents on normalized to range [-1, 1]",
+        "shape" : "[1, 3, 512, 512]",
+        "name" : "x",
+        "type" : "MultiArray"
+      }
+    ],
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-08-10",
+      "com.github.apple.coremltools.source" : "torch==2.7.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "generatedClassName" : "Stable_Diffusion_version_clover_image_tiny_inpaint_vae_encoder",
+    "method" : "predict"
+  }
+]

VAEEncoder.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71bf826e5ee1b455462aff0b34e3a469f5f58955ae715708962b1d81db92dc64
+size 68338112