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Publish shared-weight multifunction Core ML model
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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",
"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-hf",
"modelParameters" : [
],
"author" : "Please refer to the Model Card available at huggingface.co\/Clover-Image-Tiny-hf",
"specificationVersion" : 8,
"storagePrecision" : "Float16",
"license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
"mlProgramOperationTypeHistogram" : {
"Ios16.reduceL2Norm" : 1,
"NonZero" : 1,
"Ios17.equal" : 1,
"Ios17.reshape" : 97,
"Ios16.softmax" : 24,
"Ios17.matmul" : 48,
"Ios17.transpose" : 97,
"Ios17.maximum" : 1,
"Ios17.expandDims" : 4,
"Select" : 2,
"Ios17.add" : 52,
"Ios16.sigmoid" : 24,
"Ios17.sliceByIndex" : 2,
"Tile" : 4,
"Ios16.reduceSum" : 2,
"Shape" : 1,
"Ios17.scatterNd" : 1,
"Ios17.layerNorm" : 50,
"Ios17.conv" : 1,
"Ios17.cast" : 7,
"Ios17.realDiv" : 1,
"Ios17.linear" : 147,
"Ios17.concat" : 2,
"Ios17.greaterEqual" : 1,
"Ios17.greater" : 4,
"Ios17.mul" : 73
},
"computePrecision" : "Mixed (Float16, Float32, Int32)",
"stateSchema" : [
],
"isUpdatable" : "0",
"availability" : {
"macOS" : "14.0",
"tvOS" : "17.0",
"visionOS" : "1.0",
"watchOS" : "10.0",
"iOS" : "17.0",
"macCatalyst" : "17.0"
},
"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" : "2026-07-30",
"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_hf_safety_checker",
"method" : "predict"
}
]