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- README.md +9 -0
- original/compiled/TextEncoder.mlmodelc/analytics/coremldata.bin +3 -0
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- original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-2-1-base_text_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- original/packages/Stable_Diffusion_version_stabilityai_stable-diffusion-2-1-base_text_encoder.mlpackage/Manifest.json +18 -0
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README.md
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# Core ML Stable Diffusion Model (SD 2.1, 640x384)
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This repository contains pre-converted Core ML models of Stable Diffusion v2
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for use on Apple silicon devices. I changed the resolution to make it handy for
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generating widescreen images.
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- Original model: [Stable Diffusion v2-1](https://huggingface.co/stabilityai/stable-diffusion-2-1)
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- Image resolution: 640x384
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- Tested on ml-stable-diffusion v1.1.0
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original/compiled/TextEncoder.mlmodelc/analytics/coremldata.bin
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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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"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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"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" : "The version of the `last_hidden_state` output after pooling",
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"shape" : "[]",
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"name" : "pooled_outputs",
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"type" : "MultiArray"
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}
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],
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"version" : "stabilityai\/stable-diffusion-2-1-base",
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"modelParameters" : [
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],
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"author" : "Please refer to the Model Card available at huggingface.co\/stabilityai\/stable-diffusion-2-1-base",
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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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"Ios16.sub" : 1,
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"Stack" : 1,
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"Transpose" : 115,
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"Ios16.linear" : 138,
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"Ios16.softmax" : 23,
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"Ios16.gather" : 1,
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"Ios16.reshape" : 230,
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"Ios16.reduceArgmax" : 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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"macOS" : "13.0",
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"tvOS" : "16.0",
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"watchOS" : "9.0",
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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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"name" : "MLModelType_mlProgram"
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"inputSchema" : [
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"dataType" : "Float32",
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"formattedType" : "MultiArray (Float32 1 × 77)",
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"shortDescription" : "The token ids that represent the input text",
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"shape" : "[1, 77]",
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"name" : "input_ids",
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"type" : "MultiArray"
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],
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"userDefinedMetadata" : {
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"com.github.apple.coremltools.version" : "6.3.0",
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"com.github.apple.coremltools.source" : "torch==2.0.0"
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},
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"generatedClassName" : "Stable_Diffusion_version_stabilityai_stable_diffusion_2_1_base_text_encoder",
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"method" : "predict"
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}
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]
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original/compiled/TextEncoder.mlmodelc/model.mil
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The diff for this file is too large to render.
See raw diff
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original/compiled/TextEncoder.mlmodelc/weights/weight.bin
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[
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"formattedType" : "MultiArray (Float16 2 × 1024 × 1 × 77)",
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"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.",
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"shape" : "[2, 1024, 1, 77]",
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"method" : "predict"
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}
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]
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