File size: 7,614 Bytes
bbb5774 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 |
[
{
"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",
"outputSchema" : [
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float32",
"formattedType" : "MultiArray (Float32)",
"shortDescription" : "Same shape and dtype as the `sample` input. The predicted noise to facilitate the reverse diffusion (denoising) process",
"shape" : "[]",
"name" : "noise_pred",
"type" : "MultiArray"
}
],
"version" : "dreamshaper_xl_1.0a2_coreml",
"modelParameters" : [
],
"author" : "Please refer to the Model Card available at huggingface.co\/dreamshaper_xl_1.0a2_coreml",
"specificationVersion" : 7,
"storagePrecision" : "Float16",
"license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
"mlProgramOperationTypeHistogram" : {
"Transpose" : 140,
"UpsampleNearestNeighbor" : 2,
"Ios16.reduceMean" : 512,
"Ios16.sin" : 2,
"Ios16.softmax" : 2600,
"Split" : 70,
"Ios16.add" : 732,
"Concat" : 154,
"Ios16.realDiv" : 46,
"Ios16.square" : 46,
"ExpandDims" : 6,
"Ios16.sub" : 256,
"Ios16.cast" : 1,
"Ios16.conv" : 794,
"Ios16.einsum" : 5200,
"Ios16.gelu" : 70,
"Ios16.reshape" : 115,
"Ios16.batchNorm" : 46,
"Ios16.rsqrt" : 210,
"Ios16.silu" : 38,
"Ios16.sqrt" : 46,
"SliceByIndex" : 7804,
"Ios16.mul" : 3302,
"Ios16.cos" : 2
},
"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"
},
"modelType" : {
"name" : "MLModelType_mlProgram"
},
"inputSchema" : [
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 4 × 128 × 128)",
"shortDescription" : "The low resolution latent feature maps being denoised through reverse diffusion",
"shape" : "[2, 4, 128, 128]",
"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 × 2048 × 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, 2048, 1, 77]",
"name" : "encoder_hidden_states",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 12)",
"shortDescription" : "",
"shape" : "[12]",
"name" : "time_ids",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 1280)",
"shortDescription" : "",
"shape" : "[2, 1280]",
"name" : "text_embeds",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 320 × 128 × 128)",
"shortDescription" : "",
"shape" : "[2, 320, 128, 128]",
"name" : "additional_residual_0",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 320 × 128 × 128)",
"shortDescription" : "",
"shape" : "[2, 320, 128, 128]",
"name" : "additional_residual_1",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 320 × 128 × 128)",
"shortDescription" : "",
"shape" : "[2, 320, 128, 128]",
"name" : "additional_residual_2",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 320 × 64 × 64)",
"shortDescription" : "",
"shape" : "[2, 320, 64, 64]",
"name" : "additional_residual_3",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 640 × 64 × 64)",
"shortDescription" : "",
"shape" : "[2, 640, 64, 64]",
"name" : "additional_residual_4",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 640 × 64 × 64)",
"shortDescription" : "",
"shape" : "[2, 640, 64, 64]",
"name" : "additional_residual_5",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 640 × 32 × 32)",
"shortDescription" : "",
"shape" : "[2, 640, 32, 32]",
"name" : "additional_residual_6",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 1280 × 32 × 32)",
"shortDescription" : "",
"shape" : "[2, 1280, 32, 32]",
"name" : "additional_residual_7",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 1280 × 32 × 32)",
"shortDescription" : "",
"shape" : "[2, 1280, 32, 32]",
"name" : "additional_residual_8",
"type" : "MultiArray"
},
{
"hasShapeFlexibility" : "0",
"isOptional" : "0",
"dataType" : "Float16",
"formattedType" : "MultiArray (Float16 2 × 1280 × 32 × 32)",
"shortDescription" : "",
"shape" : "[2, 1280, 32, 32]",
"name" : "additional_residual_9",
"type" : "MultiArray"
}
],
"userDefinedMetadata" : {
"com.github.apple.coremltools.version" : "7.0b1",
"com.github.apple.coremltools.source" : "torch==2.0.1",
"com.github.apple.ml-stable-diffusion.version" : "1.0.0"
},
"generatedClassName" : "Stable_Diffusion_version_dreamshaper_xl_1_0a2_coreml_control_unet",
"method" : "predict"
}
] |