[
  {
    "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-v2",
    "modelParameters" : [

    ],
    "author" : "Please refer to the Model Card available at huggingface.co\/clover-image-tiny-inpaint-v2",
    "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" : "2026-08-11",
      "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_v2_safety_checker",
    "method" : "predict"
  }
]