[
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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.",
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        "shortDescription" : "Identical to the input `images`. If safety checker detected any sensitive content, the corresponding image is replaced with a blank image (zeros)",
        "shape" : "[]",
        "name" : "filtered_images",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
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        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "shortDescription" : "Indicates whether the safety checker model found any sensitive content in the given image",
        "shape" : "[]",
        "name" : "has_nsfw_concepts",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "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",
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        "name" : "concept_scores",
        "type" : "MultiArray"
      }
    ],
    "version" : "CompVis\/stable-diffusion-v1-4",
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    "author" : "Please refer to the Model Card available at huggingface.co\/CompVis\/stable-diffusion-v1-4",
    "specificationVersion" : 7,
    "storagePrecision" : "Float16",
    "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
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      "Ios16.sigmoid" : 24,
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      "Tile" : 4,
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      "ExpandDims" : 5,
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      "Ios16.clip" : 1,
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      "Ios16.abs" : 1,
      "Ios16.layerNorm" : 50,
      "Ios16.matmul" : 48,
      "Ios16.pow" : 2,
      "Ios16.reshape" : 193,
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    "computePrecision" : "Mixed (Float32, Float16, Int32)",
    "isUpdatable" : "0",
    "availability" : {
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      "tvOS" : "16.0",
      "watchOS" : "9.0",
      "iOS" : "16.0",
      "macCatalyst" : "16.0"
    },
    "modelType" : {
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    "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",
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        "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"
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    "userDefinedMetadata" : {
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    "method" : "predict"
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]