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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)",
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"name" : "filtered_images",
"type" : "MultiArray"
},
{
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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"
},
{
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"dataType" : "Float32",
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"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" : "[]",
"name" : "concept_scores",
"type" : "MultiArray"
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],
"version" : "runwayml\/stable-diffusion-v1-5",
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],
"author" : "Please refer to the Model Card available at huggingface.co\/runwayml\/stable-diffusion-v1-5",
"specificationVersion" : 7,
"storagePrecision" : "Float16",
"license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
"mlProgramOperationTypeHistogram" : {
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"Ios16.scatterNd" : 1,
"Ios16.softmax" : 24,
"Ios16.linear" : 147,
"Ios16.add" : 51,
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"Ios16.realDiv" : 1,
"Ios16.sigmoid" : 24,
"Ios16.reduceSum" : 3,
"Tile" : 4,
"Ios16.greater" : 4,
"Shape" : 1,
"ExpandDims" : 5,
"Ios16.cast" : 7,
"Ios16.clip" : 1,
"Ios16.conv" : 1,
"Ios16.abs" : 1,
"Ios16.layerNorm" : 50,
"Ios16.matmul" : 48,
"Ios16.pow" : 2,
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"SliceByIndex" : 2,
"Ios16.mul" : 73,
"NonZero" : 1
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"isUpdatable" : "0",
"availability" : {
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"tvOS" : "16.0",
"watchOS" : "9.0",
"iOS" : "16.0",
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"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",
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},
{
"hasShapeFlexibility" : "0",
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"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",
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},
{
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"shortDescription" : "Bias added to the concept scores to trade off increased recall for reduce precision in the safety checker classifier",
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"userDefinedMetadata" : {
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"generatedClassName" : "Stable_Diffusion_version_runwayml_stable_diffusion_v1_5_safety_checker",
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