Download SafetyChecker.mlmodelc/metadata.json from neonforestmist/Clover-Image-Tiny-Inpaint-CoreML: direct link, hf CLI and curl.
- Browser
- Download file 4.69 kB
-
https://huggingface.co/neonforestmist/Clover-Image-Tiny-Inpaint-CoreML/resolve/main/SafetyChecker.mlmodelc/metadata.json
- Command line
-
hf download hf://neonforestmist/Clover-Image-Tiny-Inpaint-CoreML/SafetyChecker.mlmodelc/metadata.json
-
curl -L -o metadata.json https://huggingface.co/neonforestmist/Clover-Image-Tiny-Inpaint-CoreML/resolve/main/SafetyChecker.mlmodelc/metadata.json
4.69 kB
| [ | |
| { | |
| "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 1 × 512 × 512 × 3)", | |
| "shortDescription" : "Identical to the input `images`. If safety checker detected any sensitive content, the corresponding image is replaced with a blank image (zeros)", | |
| "shape" : "[1, 512, 512, 3]", | |
| "name" : "filtered_images", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float32", | |
| "formattedType" : "MultiArray (Float32 1 × 1 × 1 × 1)", | |
| "shortDescription" : "Indicates whether the safety checker model found any sensitive content in the given image", | |
| "shape" : "[1, 1, 1, 1]", | |
| "name" : "has_nsfw_concepts", | |
| "type" : "MultiArray" | |
| }, | |
| { | |
| "hasShapeFlexibility" : "0", | |
| "isOptional" : "0", | |
| "dataType" : "Float32", | |
| "formattedType" : "MultiArray (Float32 1 × 17)", | |
| "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" : "[1, 17]", | |
| "name" : "concept_scores", | |
| "type" : "MultiArray" | |
| } | |
| ], | |
| "version" : "clover-image-tiny-inpaint-v2", | |
| "modelParameters" : [ | |
| ], | |
| "author" : "Please refer to the Model Card available at huggingface.co\/clover-image-tiny-inpaint-v2", | |
| "specificationVersion" : 9, | |
| "storagePrecision" : "Float16", | |
| "license" : "OpenRAIL (https:\/\/huggingface.co\/spaces\/CompVis\/stable-diffusion-license)", | |
| "mlProgramOperationTypeHistogram" : { | |
| "Ios18.expandDims" : 4, | |
| "Ios18.softmax" : 24, | |
| "Ios18.mul" : 73, | |
| "Ios18.matmul" : 48, | |
| "Ios18.realDiv" : 1, | |
| "Ios18.sigmoid" : 24, | |
| "Ios18.equal" : 1, | |
| "Ios18.greaterEqual" : 1, | |
| "Select" : 2, | |
| "Ios18.greater" : 4, | |
| "Tile" : 4, | |
| "Ios16.reduceSum" : 2, | |
| "Ios18.add" : 52, | |
| "Ios18.layerNorm" : 50, | |
| "Ios18.scatterNd" : 1, | |
| "Ios18.reshape" : 97, | |
| "Shape" : 1, | |
| "Ios18.maximum" : 1, | |
| "Ios18.linear" : 147, | |
| "Ios18.conv" : 1, | |
| "Ios18.concat" : 2, | |
| "Ios18.transpose" : 97, | |
| "Ios18.cast" : 7, | |
| "Ios18.sliceByIndex" : 2, | |
| "NonZero" : 1, | |
| "Ios16.reduceL2Norm" : 1 | |
| }, | |
| "computePrecision" : "Mixed (Float16, Float32, Int32)", | |
| "stateSchema" : [ | |
| ], | |
| "isUpdatable" : "0", | |
| "availability" : { | |
| "macOS" : "15.0", | |
| "tvOS" : "18.0", | |
| "visionOS" : "2.0", | |
| "watchOS" : "11.0", | |
| "iOS" : "18.0", | |
| "macCatalyst" : "18.0" | |
| }, | |
| "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.conversion_date" : "2026-08-11", | |
| "com.github.apple.coremltools.source" : "torch==2.7.0", | |
| "com.github.apple.coremltools.version" : "9.0", | |
| "com.github.apple.coremltools.source_dialect" : "TorchScript" | |
| }, | |
| "generatedClassName" : "Stable_Diffusion_version_clover_image_tiny_inpaint_v2_safety_checker", | |
| "method" : "predict" | |
| } | |
| ] |