`SPLIT_EINSUM_V2` files
Browse files- coreml-prompthero-openjourney-v4-palettized_split_einsum_v2_compiled.zip +3 -0
- split_einsum_v2/compiled/SafetyChecker.mlmodelc/analytics/coremldata.bin +3 -0
- split_einsum_v2/compiled/SafetyChecker.mlmodelc/coremldata.bin +3 -0
- split_einsum_v2/compiled/SafetyChecker.mlmodelc/metadata.json +122 -0
- split_einsum_v2/compiled/SafetyChecker.mlmodelc/model.mil +0 -0
- split_einsum_v2/compiled/SafetyChecker.mlmodelc/weights/weight.bin +3 -0
- split_einsum_v2/compiled/TextEncoder.mlmodelc/analytics/coremldata.bin +3 -0
- split_einsum_v2/compiled/TextEncoder.mlmodelc/coremldata.bin +3 -0
- split_einsum_v2/compiled/TextEncoder.mlmodelc/metadata.json +83 -0
- split_einsum_v2/compiled/TextEncoder.mlmodelc/model.mil +0 -0
- split_einsum_v2/compiled/TextEncoder.mlmodelc/weights/weight.bin +3 -0
- split_einsum_v2/compiled/Unet.mlmodelc/analytics/coremldata.bin +3 -0
- split_einsum_v2/compiled/Unet.mlmodelc/coremldata.bin +3 -0
- split_einsum_v2/compiled/Unet.mlmodelc/metadata.json +103 -0
- split_einsum_v2/compiled/Unet.mlmodelc/model.mil +0 -0
- split_einsum_v2/compiled/Unet.mlmodelc/weights/weight.bin +3 -0
- split_einsum_v2/compiled/VAEDecoder.mlmodelc/analytics/coremldata.bin +3 -0
- split_einsum_v2/compiled/VAEDecoder.mlmodelc/coremldata.bin +3 -0
- split_einsum_v2/compiled/VAEDecoder.mlmodelc/metadata.json +75 -0
- split_einsum_v2/compiled/VAEDecoder.mlmodelc/model.mil +0 -0
- split_einsum_v2/compiled/VAEDecoder.mlmodelc/weights/weight.bin +3 -0
- split_einsum_v2/compiled/VAEEncoder.mlmodelc/analytics/coremldata.bin +3 -0
- split_einsum_v2/compiled/VAEEncoder.mlmodelc/coremldata.bin +3 -0
- split_einsum_v2/compiled/VAEEncoder.mlmodelc/metadata.json +75 -0
- split_einsum_v2/compiled/VAEEncoder.mlmodelc/model.mil +0 -0
- split_einsum_v2/compiled/VAEEncoder.mlmodelc/weights/weight.bin +3 -0
- split_einsum_v2/compiled/merges.txt +0 -0
- split_einsum_v2/compiled/vocab.json +0 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_safety_checker.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_safety_checker.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_safety_checker.mlpackage/Manifest.json +18 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_text_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_text_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_text_encoder.mlpackage/Manifest.json +18 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_unet.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_unet.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_unet.mlpackage/Manifest.json +18 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_vae_decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_vae_decoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_vae_decoder.mlpackage/Manifest.json +18 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_vae_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_vae_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_vae_encoder.mlpackage/Manifest.json +18 -0
coreml-prompthero-openjourney-v4-palettized_split_einsum_v2_compiled.zip
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oid sha256:dfca8f23f67679ae5992c362f7b1250669babc75f4779dbe1b31545257eaaa2d
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size 1565716830
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split_einsum_v2/compiled/SafetyChecker.mlmodelc/analytics/coremldata.bin
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oid sha256:84bf25ba4afe1a72fd423e8a30e0d71bbff4cf35e67c4d19a4fc7c5c0fecfb33
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size 207
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split_einsum_v2/compiled/SafetyChecker.mlmodelc/coremldata.bin
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version https://git-lfs.github.com/spec/v1
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size 1405
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split_einsum_v2/compiled/SafetyChecker.mlmodelc/metadata.json
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[
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{
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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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"metadataOutputVersion" : "3.0",
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"outputSchema" : [
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{
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"hasShapeFlexibility" : "0",
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"isOptional" : "0",
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"dataType" : "Float32",
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"formattedType" : "MultiArray (Float32)",
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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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"shape" : "[]",
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"name" : "filtered_images",
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"type" : "MultiArray"
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},
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{
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"hasShapeFlexibility" : "0",
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"isOptional" : "0",
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"dataType" : "Float32",
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"formattedType" : "MultiArray (Float32)",
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"shortDescription" : "Indicates whether the safety checker model found any sensitive content in the given image",
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"shape" : "[]",
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"name" : "has_nsfw_concepts",
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"type" : "MultiArray"
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},
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{
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"hasShapeFlexibility" : "0",
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"isOptional" : "0",
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"dataType" : "Float32",
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"formattedType" : "MultiArray (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",
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"shape" : "[]",
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"name" : "concept_scores",
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"type" : "MultiArray"
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}
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],
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"version" : "prompthero\/openjourney-v4",
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"modelParameters" : [
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],
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"author" : "Please refer to the Model Card available at huggingface.co\/prompthero\/openjourney-v4",
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"specificationVersion" : 7,
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"storagePrecision" : "Float16",
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"license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)",
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"mlProgramOperationTypeHistogram" : {
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"Transpose" : 121,
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"Ios16.scatterNd" : 1,
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"Ios16.softmax" : 24,
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"Ios16.linear" : 147,
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"Ios16.add" : 51,
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"Concat" : 1,
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"Ios16.realDiv" : 1,
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"Ios16.sigmoid" : 24,
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"Ios16.reduceSum" : 3,
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"Tile" : 4,
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"Ios16.greater" : 4,
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"Shape" : 1,
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"ExpandDims" : 5,
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"Ios16.cast" : 7,
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"Ios16.clip" : 1,
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"Ios16.conv" : 1,
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"Ios16.abs" : 1,
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"Ios16.layerNorm" : 50,
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"Ios16.matmul" : 48,
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| 65 |
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"Ios16.pow" : 2,
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| 66 |
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"Ios16.reshape" : 193,
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| 67 |
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"SliceByIndex" : 2,
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"Ios16.mul" : 73,
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"NonZero" : 1
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},
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"computePrecision" : "Mixed (Float16, Float32, Int32)",
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"isUpdatable" : "0",
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"availability" : {
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| 74 |
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"macOS" : "13.0",
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"tvOS" : "16.0",
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| 76 |
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"watchOS" : "9.0",
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| 77 |
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"iOS" : "16.0",
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"macCatalyst" : "16.0"
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},
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"modelType" : {
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| 81 |
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"name" : "MLModelType_mlProgram"
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| 82 |
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},
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| 83 |
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"inputSchema" : [
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| 84 |
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{
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| 85 |
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"hasShapeFlexibility" : "0",
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| 86 |
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"isOptional" : "0",
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| 87 |
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"dataType" : "Float16",
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| 88 |
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"formattedType" : "MultiArray (Float16 1 × 3 × 224 × 224)",
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| 89 |
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"shortDescription" : "The normalized image input tensor resized to (224x224) in channels-first (BCHW) format",
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| 90 |
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"shape" : "[1, 3, 224, 224]",
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| 91 |
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"name" : "clip_input",
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| 92 |
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"type" : "MultiArray"
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},
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{
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"hasShapeFlexibility" : "0",
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| 96 |
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"isOptional" : "0",
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"dataType" : "Float16",
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| 98 |
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"formattedType" : "MultiArray (Float16 1 × 512 × 512 × 3)",
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| 99 |
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"shortDescription" : "Output of the vae_decoder (512x512) in channels-last (BHWC) format",
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| 100 |
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"shape" : "[1, 512, 512, 3]",
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| 101 |
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"name" : "images",
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"type" : "MultiArray"
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},
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{
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"hasShapeFlexibility" : "0",
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"dataType" : "Float16",
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| 108 |
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"formattedType" : "MultiArray (Float16 1)",
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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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"shape" : "[1]",
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"name" : "adjustment",
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"type" : "MultiArray"
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}
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],
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"userDefinedMetadata" : {
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| 116 |
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"com.github.apple.coremltools.version" : "7.0b1",
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| 117 |
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"com.github.apple.coremltools.source" : "torch==2.0.1"
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},
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"generatedClassName" : "Stable_Diffusion_version_prompthero_openjourney_v4_safety_checker",
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"method" : "predict"
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}
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]
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split_einsum_v2/compiled/SafetyChecker.mlmodelc/model.mil
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split_einsum_v2/compiled/SafetyChecker.mlmodelc/weights/weight.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:31de10bc38b476d4fff1d1edd004e86474232f5fd2e3e5175ffbf92bf247cf61
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size 607990114
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split_einsum_v2/compiled/TextEncoder.mlmodelc/analytics/coremldata.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:abbe841416d2fc714533632b71ec3acd5d4c3353b47c74005f70726a7c0a6823
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size 207
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split_einsum_v2/compiled/TextEncoder.mlmodelc/coremldata.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bbd7a9021b023b0aceda54839072d5092c3c4d4fd69db9f6ce885f1c20603e7
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size 815
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split_einsum_v2/compiled/TextEncoder.mlmodelc/metadata.json
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[
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{
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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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"metadataOutputVersion" : "3.0",
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"outputSchema" : [
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{
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"hasShapeFlexibility" : "0",
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"dataType" : "Float32",
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"formattedType" : "MultiArray (Float32)",
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"shortDescription" : "The token embeddings as encoded by the Transformer model",
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"shape" : "[]",
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"name" : "last_hidden_state",
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"type" : "MultiArray"
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},
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{
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"dataType" : "Float32",
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"formattedType" : "MultiArray (Float32)",
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"shortDescription" : "The version of the `last_hidden_state` output after pooling",
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split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_vae_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:b24a2cab94a6700c3bf26b670c2b10340aba3cff8b28c9efc8dead6f925a24fa
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size 68338112
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split_einsum_v2/packages/Stable_Diffusion_version_prompthero_openjourney-v4_vae_encoder.mlpackage/Manifest.json
ADDED
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@@ -0,0 +1,18 @@
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{
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"F3A948D1-F16C-46C2-87C4-9F89435CB9A6": {
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| 5 |
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"author": "com.apple.CoreML",
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| 6 |
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"description": "CoreML Model Specification",
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| 7 |
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"name": "model.mlmodel",
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| 8 |
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"path": "com.apple.CoreML/model.mlmodel"
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| 9 |
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| 10 |
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"FE630411-11F6-454A-88E1-24B4B5EA2E22": {
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| 11 |
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"author": "com.apple.CoreML",
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| 12 |
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"description": "CoreML Model Weights",
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| 13 |
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"name": "weights",
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| 14 |
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"path": "com.apple.CoreML/weights"
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| 15 |
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}
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| 16 |
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"rootModelIdentifier": "F3A948D1-F16C-46C2-87C4-9F89435CB9A6"
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