pcuenq's picture
pcuenq HF staff
Add model weights.
6e5a6b3
raw
history blame
5.92 kB
[
{
"metadataOutputVersion" : "3.0",
"storagePrecision" : "Float16",
"outputSchema" : [
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_171_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_15_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_115_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_253_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_61_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_117_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_143_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_169_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_63_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_89_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_7_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "input_35_cast",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "",
"shape" : "[]",
"name" : "hidden_states_149_cast",
"type" : "MultiArray"
}
],
"modelParameters" : [
],
"specificationVersion" : 7,
"mlProgramOperationTypeHistogram" : {
"Ios16.reduceMean" : 104,
"Ios16.sin" : 1,
"Ios16.softmax" : 14,
"Split" : 7,
"Ios16.add" : 124,
"Concat" : 4,
"Ios16.realDiv" : 31,
"Ios16.square" : 31,
"ExpandDims" : 3,
"Ios16.sub" : 52,
"Ios16.cast" : 13,
"Ios16.conv" : 129,
"Ios16.gelu" : 7,
"Ios16.matmul" : 28,
"Ios16.reshape" : 132,
"Ios16.batchNorm" : 31,
"Ios16.rsqrt" : 21,
"Ios16.silu" : 26,
"Ios16.sqrt" : 31,
"SliceByIndex" : 2,
"Ios16.mul" : 85,
"Ios16.cos" : 1
},
"computePrecision" : "Mixed (Float32, Float16, Int32)",
"isUpdatable" : "0",
"availability" : {
"macOS" : "13.0",
"tvOS" : "16.0",
"watchOS" : "9.0",
"iOS" : "16.0",
"macCatalyst" : "16.0"
},
"modelType" : {
"name" : "MLModelType_mlProgram"
},
"userDefinedMetadata" : {
},
"inputSchema" : [
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 4 × 64 × 64)",
"shortDescription" : "",
"shape" : "[2, 4, 64, 64]",
"name" : "sample",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2)",
"shortDescription" : "",
"shape" : "[2]",
"name" : "timestep",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 768 × 1 × 77)",
"shortDescription" : "",
"shape" : "[2, 768, 1, 77]",
"name" : "encoder_hidden_states",
"type" : "MultiArray"
}
],
"generatedClassName" : "Stable_Diffusion_version_runwayml_stable_diffusion_v1_5_unet_chunk1",
"method" : "predict"
}
]