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[
{
"shortDescription" : "Stable Diffusion generates images conditioned on text or other images as input through the diffusion process. Please refer to https:\/\/arxiv.org\/abs\/2112.10752 for details.",
"metadataOutputVersion" : "3.0",
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"dataType" : "Float32",
"formattedType" : "MultiArray (Float32 2 × 4 × 64 × 64)",
"shortDescription" : "Same shape and dtype as the `sample` input. The predicted noise to facilitate the reverse diffusion (denoising) process",
"shape" : "[2, 4, 64, 64]",
"name" : "noise_pred",
"type" : "MultiArray"
}
],
"version" : "lykon\/absolutereality",
"modelParameters" : [
],
"author" : "Please refer to the Model Card available at huggingface.co\/lykon\/absolutereality",
"specificationVersion" : 7,
"storagePrecision" : "Mixed (Float16, Palettized (6 bits))",
"license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
"mlProgramOperationTypeHistogram" : {
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"UpsampleNearestNeighbor" : 2,
"Ios16.reduceMean" : 110,
"Ios16.sin" : 1,
"Ios16.softmax" : 528,
"Split" : 9,
"Ios16.add" : 136,
"Concat" : 122,
"Ios16.realDiv" : 28,
"Ios16.square" : 28,
"ExpandDims" : 3,
"Ios16.sub" : 55,
"Ios16.cast" : 1,
"Ios16.conv" : 151,
"Ios16.constexprLutToDense" : 164,
"Ios16.einsum" : 1056,
"Ios16.gelu" : 9,
"Ios16.batchNorm" : 28,
"Ios16.reshape" : 74,
"Ios16.rsqrt" : 27,
"Ios16.silu" : 21,
"Ios16.sqrt" : 28,
"Ios16.mul" : 619,
"Ios16.cos" : 1,
"SliceByIndex" : 914
},
"computePrecision" : "Mixed (Float16, Float32, Int32)",
"isUpdatable" : "0",
"availability" : {
"macOS" : "13.0",
"tvOS" : "16.0",
"visionOS" : "1.0",
"watchOS" : "9.0",
"iOS" : "16.0",
"macCatalyst" : "16.0"
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"name" : "MLModelType_mlProgram"
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"inputSchema" : [
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"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 4 × 64 × 64)",
"shortDescription" : "The low resolution latent feature maps being denoised through reverse diffusion",
"shape" : "[2, 4, 64, 64]",
"name" : "sample",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2)",
"shortDescription" : "A value emitted by the associated scheduler object to condition the model on a given noise schedule",
"shape" : "[2]",
"name" : "timestep",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 768 × 1 × 77)",
"shortDescription" : "Output embeddings from the associated text_encoder model to condition to generated image on text. A maximum of 77 tokens (~40 words) are allowed. Longer text is truncated. Shorter text does not reduce computation.",
"shape" : "[2, 768, 1, 77]",
"name" : "encoder_hidden_states",
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"userDefinedMetadata" : {
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"com.github.apple.coremltools.source" : "torch==2.2.2+cu121",
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"generatedClassName" : "Unet",
"method" : "predict"
}
] |