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{
  "schemaVersion": 1,
  "modelId": "mop_insta_v1_dmd_coreml",
  "family": "SDXL 1.0",
  "variant": "DMD",
  "resolution": [
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    1024
  ],
  "source": {
    "author": "GBRX",
    "modelName": "MoP (Mixture of Perverts) DMD",
    "versionName": "Insta v1.0 DMD",
    "modelId": 1854124,
    "modelVersionId": 2811401,
    "fileId": 2697274,
    "filename": "mopMixtureOfPerverts_instaV10DMD.safetensors",
    "sizeBytes": 6938083554,
    "sha256": "fd05f05d92afc82bf3b1c3992c10e116a73b7d26ba464cc3510f530b16aa6aac",
    "url": "https://civitai.com/models/1854124?modelVersionId=2811401",
    "licenseURL": "https://civitai.com/models/license/2811401"
  },
  "configuration": {
    "repository": "stabilityai/stable-diffusion-xl-base-1.0",
    "revision": "462165984030d82259a11f4367a4eed129e94a7b",
    "configManifestSha256": "dc20c30615ebc3100a8982beb1a71d7ba4a8d9c0aa22435f0aaea74ca1fb0415",
    "note": "Configuration and tokenizer only; trainable UNet, VAE, and used text-encoder weights are from the authenticated MoP checkpoint."
  },
  "textEncoderRepair": {
    "reason": "Exactly six tensors in the unused final CLIP-L transformer layer contain non-finite values. SDXL uses the penultimate CLIP-L hidden state for conditioning.",
    "affectedLayer": "text_model.encoder.layers.11",
    "affectedTensorCount": 6,
    "replacedNonFiniteValueCount": 7077888,
    "replacementRepository": "stabilityai/stable-diffusion-xl-base-1.0",
    "replacementRevision": "462165984030d82259a11f4367a4eed129e94a7b",
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    "replacementSha256": "660c6f5b1abae9dc498ac2d21e1347d2abdb0cf6c0c0c8576cd796491d9a6cdd",
    "scope": "Only non-finite values in the unused final CLIP-L layer were replaced. All used conditioning layers remain from MoP."
  },
  "conversion": {
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    "localUnetConverterSha256": "a5a174f86a52309a580924584c72ef79259664d37fc01ec8bcd2037f850e2e40",
    "localTextEncoderConverterSha256": "5bcf45966a7cdf130f91ddf85d6d583228223735d899839754b2d0b3f71b8947",
    "coremltools": "8.0",
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    "transformers": "4.44.2",
    "safetensors": "0.4.5",
    "minimumDeploymentTarget": "iOS 17",
    "attentionImplementation": "SPLIT_EINSUM",
    "unet": {
      "quantizationBits": 6,
      "method": "k-means palettization",
      "split": true,
      "batchSize": 2,
      "inputShape": [
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        128
      ],
      "outputShape": [
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      ]
    },
    "textEncoder": {
      "precision": "FP16",
      "source": "MoP except documented unused-layer repair"
    },
    "textEncoder2": {
      "quantizationBits": 8,
      "source": "MoP"
    },
    "vae": {
      "source": "MoP",
      "decoderIncluded": true,
      "encoderIncludedForFaceDetail": true
    }
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  "componentWeightBytes": {
    "TextEncoder.mlmodelc": 246145536,
    "TextEncoder2.mlmodelc": 758591232,
    "UnetChunk1.mlmodelc": 968067264,
    "UnetChunk2.mlmodelc": 959821632,
    "VAEDecoder.mlmodelc": 197977216,
    "VAEEncoder.mlmodelc": 136668992
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  "generation": {
    "scheduler": "LCM",
    "defaultSteps": 10,
    "recommendedSteps": [
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    ],
    "defaultCFG": 1.0,
    "recommendedCFG": [
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    ],
    "width": 1024,
    "height": 1024
  },
  "license": {
    "name": "CreativeML Open RAIL++-M with MoP Attachment B",
    "url": "https://civitai.com/models/license/2811401",
    "file": "LICENSE"
  },
  "validation": {
    "sourceDiffusersGeneration": true,
    "sourceSettings": {
      "scheduler": "LCMScheduler",
      "steps": 10,
      "cfg": 1.0,
      "resolution": [
        1024,
        1024
      ],
      "seed": 1568
    },
    "fp16UnetPyTorchToCoreMLPSNRdB": 45.5,
    "textEncoderPyTorchToCoreMLPSNRdB": 90.8,
    "textEncoder2PyTorchToCoreMLPSNRdB": 69.3,
    "vaeDecoderPyTorchToCoreMLPSNRdB": 108.5,
    "vaeEncoderPyTorchToCoreMLPSNRdB": 101.2,
    "compiledComponentShapesVerified": true,
    "allWeightFilesUnder1GiB": true,
    "swiftPipelineMacCPUGPU": {
      "success": true,
      "scheduler": "LCM",
      "steps": 10,
      "cfg": 1.0,
      "seed": 1568,
      "resolution": [
        1024,
        1024
      ],
      "parrotPromptOutputSha256": "df79e890fe05a73f215a93c58236df44a64f34d4ac5e0593120647c61a3d3a79",
      "portraitPromptOutputSha256": "a688237e9cc44a7bc07b45cc23aadc0e68909b2b2b2e8e64c6ab8dd41b93f089",
      "note": "Both outputs visually inspected: photorealistic, prompt-aligned, no mosaic/noise failure."
    },
    "sourceDiffusersOutputSha256": "340d6c45d9dfd540e467f68e2ee518dcd86f72b64d77a59e8067cad6ca2ff8d1",
    "swiftPipelineMacNeuralEngine": {
      "success": true,
      "scheduler": "LCM",
      "steps": 10,
      "cfg": 1.0,
      "seed": 1568,
      "resolution": [
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      ],
      "parrotPromptOutputSha256": "0517adc2cb243c88e42d115589f817db3110b59449d47465124d780a221941b6",
      "portraitPromptOutputSha256": "32bce578f9ba011dd3046e7de20f4e5e2f324948bf4b8b9d3805a6e8c8468d9b",
      "note": "Both outputs visually inspected: photorealistic, prompt-aligned, no mosaic/noise failure. The first ANE plan compilation on this Mac took several minutes before inference."
    }
  }
}