coreml-stable-diffusion-v1-5-palettized
/
split_einsum_v2
/compiled
/SafetyChecker.mlmodelc
/metadata.json
[ | |
{ | |
"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)", | |
"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", | |
"isOptional" : "0", | |
"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", | |
"shape" : "[]", | |
"name" : "concept_scores", | |
"type" : "MultiArray" | |
} | |
], | |
"version" : "runwayml\/stable-diffusion-v1-5", | |
"modelParameters" : [ | |
], | |
"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" : { | |
"Transpose" : 121, | |
"Ios16.scatterNd" : 1, | |
"Ios16.softmax" : 24, | |
"Ios16.linear" : 147, | |
"Ios16.add" : 51, | |
"Concat" : 1, | |
"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, | |
"Ios16.reshape" : 193, | |
"SliceByIndex" : 2, | |
"Ios16.mul" : 73, | |
"NonZero" : 1 | |
}, | |
"computePrecision" : "Mixed (Float16, Float32, Int32)", | |
"isUpdatable" : "0", | |
"availability" : { | |
"macOS" : "13.0", | |
"tvOS" : "16.0", | |
"watchOS" : "9.0", | |
"iOS" : "16.0", | |
"macCatalyst" : "16.0" | |
}, | |
"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.version" : "7.0b1", | |
"com.github.apple.coremltools.source" : "torch==2.0.1" | |
}, | |
"generatedClassName" : "Stable_Diffusion_version_runwayml_stable_diffusion_v1_5_safety_checker", | |
"method" : "predict" | |
} | |
] |