Upload models.json with huggingface_hub

models.json

@@ -3,18 +3,78 @@
   "updated_at": "2026-04-10",
   "min_app_version": "1.0",
   "categories": [
-    { "id": "segmentation", "name": "Segmentation", "icon": "person.and.background.dotted", "order": 1 },
-    { "id": "enhancement", "name": "Image Enhancement", "icon": "wand.and.stars", "order": 2 },
-    { "id": "detection", "name": "Object Detection", "icon": "viewfinder", "order": 3 },
-    { "id": "depth", "name": "Depth & Geometry", "icon": "cube.transparent", "order": 4 },
-    { "id": "vision_language", "name": "Vision-Language", "icon": "text.viewfinder", "order": 5 },
-    { "id": "face", "name": "Face Processing", "icon": "face.smiling", "order": 6 },
-    { "id": "generation", "name": "Image Generation", "icon": "sparkles", "order": 7 },
-    { "id": "video", "name": "Video Processing", "icon": "film", "order": 8 },
-    { "id": "audio", "name": "Audio Processing", "icon": "waveform.circle", "order": 9 },
-    { "id": "speech", "name": "Speech & Music", "icon": "music.note", "order": 10 },
-    { "id": "inpainting", "name": "Inpainting", "icon": "eraser", "order": 11 },
-    { "id": "restoration", "name": "Face Restoration", "icon": "face.smiling.inverse", "order": 12 }
+    {
+      "id": "segmentation",
+      "name": "Segmentation",
+      "icon": "person.and.background.dotted",
+      "order": 1
+    },
+    {
+      "id": "enhancement",
+      "name": "Image Enhancement",
+      "icon": "wand.and.stars",
+      "order": 2
+    },
+    {
+      "id": "detection",
+      "name": "Object Detection",
+      "icon": "viewfinder",
+      "order": 3
+    },
+    {
+      "id": "depth",
+      "name": "Depth & Geometry",
+      "icon": "cube.transparent",
+      "order": 4
+    },
+    {
+      "id": "vision_language",
+      "name": "Vision-Language",
+      "icon": "text.viewfinder",
+      "order": 5
+    },
+    {
+      "id": "face",
+      "name": "Face Processing",
+      "icon": "face.smiling",
+      "order": 6
+    },
+    {
+      "id": "generation",
+      "name": "Image Generation",
+      "icon": "sparkles",
+      "order": 7
+    },
+    {
+      "id": "video",
+      "name": "Video Processing",
+      "icon": "film",
+      "order": 8
+    },
+    {
+      "id": "audio",
+      "name": "Audio Processing",
+      "icon": "waveform.circle",
+      "order": 9
+    },
+    {
+      "id": "speech",
+      "name": "Speech & Music",
+      "icon": "music.note",
+      "order": 10
+    },
+    {
+      "id": "inpainting",
+      "name": "Inpainting",
+      "icon": "eraser",
+      "order": 11
+    },
+    {
+      "id": "restoration",
+      "name": "Face Restoration",
+      "icon": "face.smiling.inverse",
+      "order": 12
+    }
   ],
   "models": [
     {
@@ -25,22 +85,35 @@
       "description_md": "High-quality background removal. Outputs foreground with alpha mask. INT8 quantized U-Net, 1024×1024 input.",
       "demo": {
         "template": "image_in_out",
-        "config": { "input_size": 1024, "output_type": "mask" }
+        "config": {
+          "input_size": 1024,
+          "output_type": "mask"
+        }
       },
       "files": [
         {
           "name": "RMBG_1_4.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/rmbg/RMBG_1_4.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 50000000,
-          "sha256": "TODO",
+          "size_bytes": 38771210,
+          "sha256": "a80dbb5f04c922a8fa698c38592e4e52af4e62471d70bc7c59c28a3355a1da95",
           "compute_units": "cpuAndGPU",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 300 },
-      "license": { "name": "Apache-2.0", "url": "https://huggingface.co/briaai/RMBG-1.4" },
-      "upstream": { "name": "briaai/RMBG-1.4", "url": "https://huggingface.co/briaai/RMBG-1.4", "year": 2023 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 300
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://huggingface.co/briaai/RMBG-1.4"
+      },
+      "upstream": {
+        "name": "briaai/RMBG-1.4",
+        "url": "https://huggingface.co/briaai/RMBG-1.4",
+        "year": 2023
+      }
     },
     {
       "id": "ddcolor",
@@ -50,22 +123,35 @@
       "description_md": "Automatic grayscale image colorization via dual decoders. 512×512 input, processes in LAB color space.",
       "demo": {
         "template": "image_in_out",
-        "config": { "input_size": 512, "output_type": "image" }
+        "config": {
+          "input_size": 512,
+          "output_type": "lab_ab"
+        }
       },
       "files": [
         {
-          "name": "DDColor.mlpackage.zip",
-          "url": "TODO",
+          "name": "DDColor_Tiny.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/ddcolor/DDColor_Tiny.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 35000000,
-          "sha256": "TODO",
+          "size_bytes": 212344570,
+          "sha256": "bfecea37d66005f602efe13978360b8e4707923234c3d1d00beeb4e36cb1b02c",
           "compute_units": "all",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 400 },
-      "license": { "name": "Apache-2.0", "url": "https://github.com/piddnad/DDColor" },
-      "upstream": { "name": "piddnad/DDColor", "url": "https://github.com/piddnad/DDColor", "year": 2023 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 400
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://github.com/piddnad/DDColor"
+      },
+      "upstream": {
+        "name": "piddnad/DDColor",
+        "url": "https://github.com/piddnad/DDColor",
+        "year": 2023
+      }
     },
     {
       "id": "sinsr",
@@ -75,40 +161,53 @@
       "description_md": "4× super-resolution via single-step diffusion. 256×256 input → 1024×1024 output. Swin Transformer denoiser (FP32 required).",
       "demo": {
         "template": "image_in_out",
-        "config": { "input_size": 256, "output_type": "image" }
+        "config": {
+          "input_size": 256,
+          "output_type": "image"
+        }
       },
       "files": [
         {
           "name": "SinSR_Encoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/sinsr/SinSR_Encoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 40000000,
-          "sha256": "TODO",
+          "size_bytes": 41246338,
+          "sha256": "fdec09d17561ec1bb5a2e829683d48c2b45e76b876285619a6e29a3523b8b7e2",
           "compute_units": "cpuAndGPU",
           "kind": "model"
         },
         {
           "name": "SinSR_Denoiser.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/sinsr/SinSR_Denoiser.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 440000000,
-          "sha256": "TODO",
+          "size_bytes": 440014511,
+          "sha256": "b31374c2d539b2cdd81499d6062c801ca00e405f5a67507cd609d14e2d6d4beb",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "SinSR_Decoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/sinsr/SinSR_Decoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 60000000,
-          "sha256": "TODO",
+          "size_bytes": 60880285,
+          "sha256": "b8b9a7b52d6b240cf9fb3352b286ea83eb984fd73f5dd81c9f034f0016a5cb8c",
           "compute_units": "cpuAndGPU",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 600 },
-      "license": { "name": "Apache-2.0", "url": "https://github.com/wyf0912/SinSR" },
-      "upstream": { "name": "wyf0912/SinSR", "url": "https://github.com/wyf0912/SinSR", "year": 2024 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 600
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://github.com/wyf0912/SinSR"
+      },
+      "upstream": {
+        "name": "wyf0912/SinSR",
+        "url": "https://github.com/wyf0912/SinSR",
+        "year": 2024
+      }
     },
     {
       "id": "efficientad",
@@ -118,7 +217,10 @@
       "description_md": "Lightweight unsupervised anomaly detection. 256×256 input → anomaly heatmap + score. Industrial quality inspection.",
       "demo": {
         "template": "image_in_out",
-        "config": { "input_size": 256, "output_type": "image" }
+        "config": {
+          "input_size": 256,
+          "output_type": "image"
+        }
       },
       "files": [
         {
@@ -131,9 +233,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 200 },
-      "license": { "name": "MIT", "url": "https://github.com/nelson1425/EfficientAD" },
-      "upstream": { "name": "nelson1425/EfficientAD", "url": "https://github.com/nelson1425/EfficientAD", "year": 2023 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 200
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/nelson1425/EfficientAD"
+      },
+      "upstream": {
+        "name": "nelson1425/EfficientAD",
+        "url": "https://github.com/nelson1425/EfficientAD",
+        "year": 2023
+      }
     },
     {
       "id": "yolo26s",
@@ -143,22 +255,35 @@
       "description_md": "NMS-free object detection. 640×640 input, output [1,300,6]: x1,y1,x2,y2,confidence,class_id. 80 COCO classes.",
       "demo": {
         "template": "image_detection",
-        "config": { "input_size": 640, "confidence_threshold": 0.25 }
+        "config": {
+          "input_size": 640,
+          "confidence_threshold": 0.25
+        }
       },
       "files": [
         {
           "name": "yolo26s.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/yolo26/yolo26s.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 18000000,
-          "sha256": "TODO",
+          "size_bytes": 17697581,
+          "sha256": "0ec02fb0cf2dbd6e09601cbbc00a9734156ea4c2a52b0da23a984337074c6fd4",
           "compute_units": "all",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 300 },
-      "license": { "name": "AGPL-3.0", "url": "https://github.com/ultralytics/ultralytics" },
-      "upstream": { "name": "ultralytics/ultralytics", "url": "https://github.com/ultralytics/ultralytics", "year": 2026 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 300
+      },
+      "license": {
+        "name": "AGPL-3.0",
+        "url": "https://github.com/ultralytics/ultralytics"
+      },
+      "upstream": {
+        "name": "ultralytics/ultralytics",
+        "url": "https://github.com/ultralytics/ultralytics",
+        "year": 2026
+      }
     },
     {
       "id": "yolov9s",
@@ -168,22 +293,35 @@
       "description_md": "YOLOv9 small with Vision framework NMS. 640×640 input. PGI + GELAN architecture.",
       "demo": {
         "template": "image_detection",
-        "config": { "input_size": 640, "confidence_threshold": 0.25 }
+        "config": {
+          "input_size": 640,
+          "confidence_threshold": 0.25
+        }
       },
       "files": [
         {
-          "name": "yolov9s.mlpackage.zip",
-          "url": "TODO",
+          "name": "yolo11s.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/yolov9/yolo11s.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 14000000,
-          "sha256": "TODO",
+          "size_bytes": 17580204,
+          "sha256": "79e82aacc3ad20fc1eb990df6979fae9b927d4b06f33bd20ec0e1c0dcb7d1f6b",
           "compute_units": "all",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 300 },
-      "license": { "name": "AGPL-3.0", "url": "https://github.com/WongKinYiu/yolov9" },
-      "upstream": { "name": "WongKinYiu/yolov9", "url": "https://github.com/WongKinYiu/yolov9", "year": 2024 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 300
+      },
+      "license": {
+        "name": "AGPL-3.0",
+        "url": "https://github.com/WongKinYiu/yolov9"
+      },
+      "upstream": {
+        "name": "WongKinYiu/yolov9",
+        "url": "https://github.com/WongKinYiu/yolov9",
+        "year": 2024
+      }
     },
     {
       "id": "yolov10n",
@@ -193,22 +331,35 @@
       "description_md": "YOLOv10 nano with Vision framework NMS. 640×640 input. Dual-assignment strategy.",
       "demo": {
         "template": "image_detection",
-        "config": { "input_size": 640, "confidence_threshold": 0.25 }
+        "config": {
+          "input_size": 640,
+          "confidence_threshold": 0.25
+        }
       },
       "files": [
         {
-          "name": "yolov10n.mlpackage.zip",
-          "url": "TODO",
+          "name": "YOLOv10N.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/yolov10/YOLOv10N.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 14000000,
-          "sha256": "TODO",
+          "size_bytes": 4309168,
+          "sha256": "9a687144a6b0b764f508c8f544fe46b6674629b8f09a1e99d8ca69b0be899891",
           "compute_units": "all",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 300 },
-      "license": { "name": "AGPL-3.0", "url": "https://github.com/THU-MIG/yolov10" },
-      "upstream": { "name": "THU-MIG/yolov10", "url": "https://github.com/THU-MIG/yolov10", "year": 2024 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 300
+      },
+      "license": {
+        "name": "AGPL-3.0",
+        "url": "https://github.com/THU-MIG/yolov10"
+      },
+      "upstream": {
+        "name": "THU-MIG/yolov10",
+        "url": "https://github.com/THU-MIG/yolov10",
+        "year": 2024
+      }
     },
     {
       "id": "moge2_vitb_normal_504",
@@ -220,24 +371,39 @@
         "template": "depth_visualization",
         "config": {
           "input_size": 504,
-          "output_keys": ["depth", "normal", "mask", "metric_scale"],
+          "output_keys": [
+            "depth",
+            "normal",
+            "mask",
+            "metric_scale"
+          ],
           "depth_unit": "meters"
         }
       },
       "files": [
         {
           "name": "MoGe2_ViTB_Normal_504.mlpackage.zip",
-          "url": "https://github.com/john-rocky/CoreML-Models/releases/download/moge2-v1/MoGe2_ViTB_Normal_504.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/moge2/MoGe2_ViTB_Normal_504.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 209715200,
-          "sha256": "TODO",
+          "size_bytes": 193312088,
+          "sha256": "f60cfb4804707a489d99e24453188cd31ddcabb299bbf6da4507edc9cecbf9e7",
           "compute_units": "all",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 600 },
-      "license": { "name": "MIT", "url": "https://github.com/microsoft/MoGe/blob/main/LICENSE" },
-      "upstream": { "name": "microsoft/MoGe", "url": "https://github.com/microsoft/MoGe", "year": 2025 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 600
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/microsoft/MoGe/blob/main/LICENSE"
+      },
+      "upstream": {
+        "name": "microsoft/MoGe",
+        "url": "https://github.com/microsoft/MoGe",
+        "year": 2025
+      }
     },
     {
       "id": "siglip",
@@ -259,33 +425,43 @@
       "files": [
         {
           "name": "SigLIP_ImageEncoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/siglip/SigLIP_ImageEncoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 350000000,
-          "sha256": "TODO",
+          "size_bytes": 170352400,
+          "sha256": "98f6abf5f4aa145199f4ae22305f9c1d5929eee6b126daad84783b2b2090ee24",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "SigLIP_TextEncoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/siglip/SigLIP_TextEncoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 350000000,
-          "sha256": "TODO",
+          "size_bytes": 203975769,
+          "sha256": "9dead2d58705838aef7ad83c3bf4036698c78d872ca1cdd04f2c4a6272009ccf",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "siglip_vocab.json",
-          "url": "TODO",
-          "size_bytes": 1000000,
-          "sha256": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/siglip/siglip_vocab.json",
+          "size_bytes": 673754,
+          "sha256": "b94b3a58e04f619936b3890804dff7c478522c07515ff748cf127c5443ee5229",
           "kind": "vocab"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 800 },
-      "license": { "name": "Apache-2.0", "url": "https://github.com/google-research/big_vision" },
-      "upstream": { "name": "google-research/big_vision", "url": "https://github.com/google-research/big_vision", "year": 2023 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 800
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://github.com/google-research/big_vision"
+      },
+      "upstream": {
+        "name": "google-research/big_vision",
+        "url": "https://github.com/google-research/big_vision",
+        "year": 2023
+      }
     },
     {
       "id": "florence2",
@@ -303,51 +479,88 @@
           "decoder": "Florence2Decoder.mlpackage.zip",
           "vocab_file": "florence2_vocab.json",
           "tasks": {
-            "caption": [0, 2264, 473, 5, 2274, 6190, 116, 2],
-            "detailed_caption": [0, 2264, 473, 5, 31962, 2274, 6190, 116, 2],
-            "ocr": [0, 2264, 473, 5, 71307, 116, 2]
+            "caption": [
+              0,
+              2264,
+              473,
+              5,
+              2274,
+              6190,
+              116,
+              2
+            ],
+            "detailed_caption": [
+              0,
+              2264,
+              473,
+              5,
+              31962,
+              2274,
+              6190,
+              116,
+              2
+            ],
+            "ocr": [
+              0,
+              2264,
+              473,
+              5,
+              71307,
+              116,
+              2
+            ]
           }
         }
       },
       "files": [
         {
           "name": "Florence2VisionEncoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/florence2/Florence2VisionEncoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 400000000,
-          "sha256": "TODO",
+          "size_bytes": 81198683,
+          "sha256": "9422f189c21220a0f9966eb9d780856772feb55597dcc579fc4e3c88990d0046",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "Florence2TextEncoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/florence2/Florence2TextEncoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 450000000,
-          "sha256": "TODO",
+          "size_bytes": 72742890,
+          "sha256": "f985deeef0408ea8aac33ac4f5c6d9635cd9c64c98b53f85031db6e27f3bfd92",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "Florence2Decoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/florence2/Florence2Decoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 1400000000,
-          "sha256": "TODO",
+          "size_bytes": 85329746,
+          "sha256": "fe85a6faab5281272bcd79dabfbf87d60ba1a78dd9455e2bf71c67a134d61dc5",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "florence2_vocab.json",
-          "url": "TODO",
-          "size_bytes": 500000,
-          "sha256": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/florence2/florence2_vocab.json",
+          "size_bytes": 999352,
+          "sha256": "861fee9af5520403f6dbb4940d6af6627f1481b71cdc4a870f1f61344e57e645",
           "kind": "vocab"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 1200 },
-      "license": { "name": "MIT", "url": "https://huggingface.co/microsoft/Florence-2-base" },
-      "upstream": { "name": "microsoft/Florence-2", "url": "https://huggingface.co/microsoft/Florence-2-base", "year": 2024 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 1200
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://huggingface.co/microsoft/Florence-2-base"
+      },
+      "upstream": {
+        "name": "microsoft/Florence-2",
+        "url": "https://huggingface.co/microsoft/Florence-2-base",
+        "year": 2024
+      }
     },
     {
       "id": "adaface",
@@ -357,7 +570,11 @@
       "description_md": "Face recognition via 512-dim embeddings. IR-18 backbone, 112×112 face crop input. Compare faces by cosine similarity.",
       "demo": {
         "template": "face_compare",
-        "config": { "input_size": 112, "embedding_dim": 512, "match_threshold": 0.6 }
+        "config": {
+          "input_size": 112,
+          "embedding_dim": 512,
+          "match_threshold": 0.6
+        }
       },
       "files": [
         {
@@ -370,9 +587,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 200 },
-      "license": { "name": "MIT", "url": "https://github.com/mk-minchul/AdaFace" },
-      "upstream": { "name": "mk-minchul/AdaFace", "url": "https://github.com/mk-minchul/AdaFace", "year": 2022 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 200
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/mk-minchul/AdaFace"
+      },
+      "upstream": {
+        "name": "mk-minchul/AdaFace",
+        "url": "https://github.com/mk-minchul/AdaFace",
+        "year": 2022
+      }
     },
     {
       "id": "hypersd",
@@ -399,58 +626,68 @@
       "files": [
         {
           "name": "HyperSDTextEncoder.mlpackage.zip",
-          "url": "https://github.com/john-rocky/CoreML-Models/releases/download/hypersd-v1/HyperSDTextEncoder.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/hypersd/HyperSDTextEncoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 235000000,
-          "sha256": "TODO",
+          "size_bytes": 226397794,
+          "sha256": "201b0fcc3573811aac6a4e8545c695bc4fb2f7710ea0d60c227919d87b37687e",
           "compute_units": "cpuAndNeuralEngine",
           "kind": "model"
         },
         {
           "name": "HyperSDUnetChunk1.mlpackage.zip",
-          "url": "https://github.com/john-rocky/CoreML-Models/releases/download/hypersd-v1/HyperSDUnetChunk1.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/hypersd/HyperSDUnetChunk1.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 318000000,
-          "sha256": "TODO",
+          "size_bytes": 324819653,
+          "sha256": "279da11b8231aeeb9045f6ceabebb3a68c20a1b86ecc81aa6914b77ce76d5203",
           "compute_units": "cpuAndNeuralEngine",
           "kind": "model"
         },
         {
           "name": "HyperSDUnetChunk2.mlpackage.zip",
-          "url": "https://github.com/john-rocky/CoreML-Models/releases/download/hypersd-v1/HyperSDUnetChunk2.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/hypersd/HyperSDUnetChunk2.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 299000000,
-          "sha256": "TODO",
+          "size_bytes": 304530429,
+          "sha256": "0a700d11a105da589bb3e5666e38b9c72fa283149951b253fc11722e70e72faa",
           "compute_units": "cpuAndNeuralEngine",
           "kind": "model"
         },
         {
           "name": "HyperSDVAEDecoder.mlpackage.zip",
-          "url": "https://github.com/john-rocky/CoreML-Models/releases/download/hypersd-v1/HyperSDVAEDecoder.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/hypersd/HyperSDVAEDecoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 95000000,
-          "sha256": "TODO",
+          "size_bytes": 91282754,
+          "sha256": "1260371542d845a2261ed2de36c5fe3e9ccb740a6ceb59b1990705d125e8cf66",
           "compute_units": "cpuAndNeuralEngine",
           "kind": "model"
         },
         {
           "name": "vocab.json",
-          "url": "https://github.com/john-rocky/CoreML-Models/releases/download/hypersd-v1/vocab.json",
-          "size_bytes": 1600000,
-          "sha256": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/hypersd/vocab.json",
+          "size_bytes": 1059962,
+          "sha256": "e089ad92ba36837a0d31433e555c8f45fe601ab5c221d4f607ded32d9f7a4349",
           "kind": "vocab"
         },
         {
           "name": "merges.txt",
-          "url": "https://github.com/john-rocky/CoreML-Models/releases/download/hypersd-v1/merges.txt",
-          "size_bytes": 525000,
-          "sha256": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/hypersd/merges.txt",
+          "size_bytes": 524619,
+          "sha256": "9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a",
           "kind": "vocab"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 1000 },
-      "license": { "name": "OpenRAIL-M", "url": "https://huggingface.co/ByteDance/Hyper-SD" },
-      "upstream": { "name": "ByteDance/Hyper-SD", "url": "https://huggingface.co/ByteDance/Hyper-SD", "year": 2024 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 1000
+      },
+      "license": {
+        "name": "OpenRAIL-M",
+        "url": "https://huggingface.co/ByteDance/Hyper-SD"
+      },
+      "upstream": {
+        "name": "ByteDance/Hyper-SD",
+        "url": "https://huggingface.co/ByteDance/Hyper-SD",
+        "year": 2024
+      }
     },
     {
       "id": "matanyone",
@@ -471,54 +708,64 @@
       },
       "files": [
         {
-          "name": "MatAnyone_Encoder.mlpackage.zip",
-          "url": "TODO",
+          "name": "MatAnyone_encoder.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/matanyone/MatAnyone_encoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 20000000,
-          "sha256": "TODO",
+          "size_bytes": 17306121,
+          "sha256": "97ffd6bc4611f9a3351dc890fc00954ba48171e517e66a39f7a5f1f38110dfda",
           "compute_units": "all",
           "kind": "model"
         },
         {
-          "name": "MatAnyone_MaskEncoder.mlpackage.zip",
-          "url": "TODO",
+          "name": "MatAnyone_mask_encoder.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/matanyone/MatAnyone_mask_encoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 10000000,
-          "sha256": "TODO",
+          "size_bytes": 16819866,
+          "sha256": "ba67559188ffc64d8e46418c051c6a55815d4482def17519fa518daac7d5a911",
           "compute_units": "all",
           "kind": "model"
         },
         {
-          "name": "MatAnyone_ReadFirst.mlpackage.zip",
-          "url": "TODO",
+          "name": "MatAnyone_read_first.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/matanyone/MatAnyone_read_first.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 15000000,
-          "sha256": "TODO",
+          "size_bytes": 21991849,
+          "sha256": "34daf7227dbcec7373a3fef175259fa7ec631ed8cb91d5595ca57ee9b22df7bb",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
-          "name": "MatAnyone_Read.mlpackage.zip",
-          "url": "TODO",
+          "name": "MatAnyone_read.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/matanyone/MatAnyone_read.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 20000000,
-          "sha256": "TODO",
+          "size_bytes": 22135429,
+          "sha256": "052e52c0ffb7ff9ede448128950cd4c1c9a96589b6900c82b5104d99addb7fa5",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
-          "name": "MatAnyone_Decoder.mlpackage.zip",
-          "url": "TODO",
+          "name": "MatAnyone_decoder.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/matanyone/MatAnyone_decoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 35000000,
-          "sha256": "TODO",
+          "size_bytes": 8807630,
+          "sha256": "67136aa67000e604838fe9aa7de151c514ef84f0b83f1da0f043cf70652d28eb",
           "compute_units": "all",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 800 },
-      "license": { "name": "MIT", "url": "https://github.com/pq-yang/MatAnyone" },
-      "upstream": { "name": "pq-yang/MatAnyone", "url": "https://github.com/pq-yang/MatAnyone", "year": 2025 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 800
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/pq-yang/MatAnyone"
+      },
+      "upstream": {
+        "name": "pq-yang/MatAnyone",
+        "url": "https://github.com/pq-yang/MatAnyone",
+        "year": 2025
+      }
     },
     {
       "id": "demucs",
@@ -531,23 +778,38 @@
         "config": {
           "sample_rate": 44100,
           "segment_length": 343980,
-          "output_stems": ["drums", "bass", "vocals", "other"]
+          "output_stems": [
+            "drums",
+            "bass",
+            "vocals",
+            "other"
+          ]
         }
       },
       "files": [
         {
           "name": "HTDemucs_SourceSeparation_F32.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/demucs/HTDemucs_SourceSeparation_F32.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 360000000,
-          "sha256": "TODO",
+          "size_bytes": 79076395,
+          "sha256": "0fbb941e15a5b2fa425d14fe630ed4c14b6dee72780c1f5b2b05f58803bce5f7",
           "compute_units": "cpuOnly",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 1000 },
-      "license": { "name": "MIT", "url": "https://github.com/adefossez/demucs" },
-      "upstream": { "name": "adefossez/demucs", "url": "https://github.com/adefossez/demucs", "year": 2021 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 1000
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/adefossez/demucs"
+      },
+      "upstream": {
+        "name": "adefossez/demucs",
+        "url": "https://github.com/adefossez/demucs",
+        "year": 2021
+      }
     },
     {
       "id": "kokoro",
@@ -561,57 +823,73 @@
           "mode": "tts",
           "sample_rate": 24000,
           "vocab_file": "kokoro_vocab.json",
-          "voices": ["af_heart", "af_bella", "am_michael", "bf_emma", "bm_george"]
+          "voices": [
+            "af_heart",
+            "af_bella",
+            "am_michael",
+            "bf_emma",
+            "bm_george"
+          ]
         }
       },
       "files": [
         {
           "name": "Kokoro_Predictor.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/kokoro/Kokoro_Predictor.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 75000000,
-          "sha256": "TODO",
+          "size_bytes": 72191470,
+          "sha256": "af1d55dc842980c32b5591a70f603941f11ab60a435bed0c13a107a8ef467bed",
           "compute_units": "cpuAndGPU",
           "kind": "model"
         },
         {
           "name": "Kokoro_Decoder_128.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/kokoro/Kokoro_Decoder_128.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 238000000,
-          "sha256": "TODO",
+          "size_bytes": 229120589,
+          "sha256": "cece0d072f5ba6aa3f729cf4c76b4de51823bcc65a26ab363c10441c3cd8b306",
           "compute_units": "all",
           "kind": "model"
         },
         {
           "name": "Kokoro_Decoder_256.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/kokoro/Kokoro_Decoder_256.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 241000000,
-          "sha256": "TODO",
+          "size_bytes": 229123438,
+          "sha256": "36d5e16d5c5ccb500fc96f1b07a1d5ac57b791f8e09e61b78319d76949003efe",
           "compute_units": "all",
           "kind": "model"
         },
         {
           "name": "Kokoro_Decoder_512.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/kokoro/Kokoro_Decoder_512.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 246000000,
-          "sha256": "TODO",
+          "size_bytes": 229128735,
+          "sha256": "0a44484c327e4fe8443b0bcf104d6964fe3f30d628c9e78aee3f31af7f2475dc",
           "compute_units": "all",
           "kind": "model"
         },
         {
           "name": "kokoro_vocab.json",
-          "url": "TODO",
-          "size_bytes": 5000,
-          "sha256": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/kokoro/kokoro_vocab.json",
+          "size_bytes": 1144,
+          "sha256": "70abefbe8a1c8865e43e0a43bbdc25b91a33e4aa053479d443ccf23e20a59e5d",
           "kind": "vocab"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 1000 },
-      "license": { "name": "Apache-2.0", "url": "https://huggingface.co/hexgrad/Kokoro-82M" },
-      "upstream": { "name": "hexgrad/Kokoro-82M", "url": "https://huggingface.co/hexgrad/Kokoro-82M", "year": 2024 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 1000
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://huggingface.co/hexgrad/Kokoro-82M"
+      },
+      "upstream": {
+        "name": "hexgrad/Kokoro-82M",
+        "url": "https://huggingface.co/hexgrad/Kokoro-82M",
+        "year": 2024
+      }
     },
     {
       "id": "stable_audio",
@@ -630,51 +908,61 @@
       "files": [
         {
           "name": "StableAudioT5Encoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/stableaudio/StableAudioT5Encoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 105000000,
-          "sha256": "TODO",
+          "size_bytes": 98538259,
+          "sha256": "319a8ba775d309240253ced68a03a3923d0aec9a79f608044f9403bdcfe4b741",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "StableAudioNumberEmbedder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/stableaudio/StableAudioNumberEmbedder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 400000,
-          "sha256": "TODO",
+          "size_bytes": 376018,
+          "sha256": "04bdc5de00a2cf1c4a18f80c94f0d74ecfab41f3ad99f2fb7a031d6ff5af75da",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "StableAudioDiT.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/stableaudio/StableAudioDiT.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 326000000,
-          "sha256": "TODO",
+          "size_bytes": 1265748504,
+          "sha256": "b17da4fc4df857821d39dbdf7d3bfe7062a2272ab3e5df1284d545afb54047e4",
           "compute_units": "cpuOnly",
           "kind": "model"
         },
         {
           "name": "StableAudioVAEDecoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/stableaudio/StableAudioVAEDecoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 149000000,
-          "sha256": "TODO",
+          "size_bytes": 144960275,
+          "sha256": "7207544cca9799cc1d6803c5e81badd0bb4527b2d3a64d5cab5700a5f19a9374",
           "compute_units": "cpuAndGPU",
           "kind": "model"
         },
         {
           "name": "t5_vocab.json",
-          "url": "TODO",
-          "size_bytes": 800000,
-          "sha256": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/stableaudio/t5_vocab.json",
+          "size_bytes": 749757,
+          "sha256": "7c9ff3ac1b3dbcaa617ee659f2df68688cfd44f1a5eb3be3fa0a2f56c749d56a",
           "kind": "vocab"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 1200 },
-      "license": { "name": "custom", "url": "https://huggingface.co/stabilityai/stable-audio-open-small" },
-      "upstream": { "name": "stabilityai/stable-audio-open-small", "url": "https://huggingface.co/stabilityai/stable-audio-open-small", "year": 2024 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 1200
+      },
+      "license": {
+        "name": "custom",
+        "url": "https://huggingface.co/stabilityai/stable-audio-open-small"
+      },
+      "upstream": {
+        "name": "stabilityai/stable-audio-open-small",
+        "url": "https://huggingface.co/stabilityai/stable-audio-open-small",
+        "year": 2024
+      }
     },
     {
       "id": "basicpitch",
@@ -704,9 +992,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 200 },
-      "license": { "name": "Apache-2.0", "url": "https://github.com/spotify/basic-pitch" },
-      "upstream": { "name": "spotify/basic-pitch", "url": "https://github.com/spotify/basic-pitch", "year": 2022 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 200
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://github.com/spotify/basic-pitch"
+      },
+      "upstream": {
+        "name": "spotify/basic-pitch",
+        "url": "https://github.com/spotify/basic-pitch",
+        "year": 2022
+      }
     },
     {
       "id": "diarization",
@@ -718,23 +1016,35 @@
         "template": "audio_in_out",
         "config": {
           "sample_rate": 16000,
-          "output_stems": ["speaker_timeline"]
+          "output_stems": [
+            "speaker_timeline"
+          ]
         }
       },
       "files": [
         {
-          "name": "Pyannote_Segmentation3_0.mlpackage.zip",
-          "url": "TODO",
+          "name": "SpeakerSegmentation.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/diarization/SpeakerSegmentation.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 25000000,
-          "sha256": "TODO",
+          "size_bytes": 5327137,
+          "sha256": "dcfa2b98900f2b99029abfb593644b70418186a6ec2e94c9a79c2b3d7a84378a",
           "compute_units": "cpuAndGPU",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 200 },
-      "license": { "name": "MIT", "url": "https://github.com/pyannote/pyannote-audio" },
-      "upstream": { "name": "pyannote/pyannote-audio", "url": "https://github.com/pyannote/pyannote-audio", "year": 2021 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 200
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/pyannote/pyannote-audio"
+      },
+      "upstream": {
+        "name": "pyannote/pyannote-audio",
+        "url": "https://github.com/pyannote/pyannote-audio",
+        "year": 2021
+      }
     },
     {
       "id": "openvoice",
@@ -746,32 +1056,44 @@
         "template": "audio_in_out",
         "config": {
           "sample_rate": 22050,
-          "output_stems": ["converted"]
+          "output_stems": [
+            "converted"
+          ]
         }
       },
       "files": [
         {
           "name": "OpenVoice_SpeakerEncoder.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/openvoice/OpenVoice_SpeakerEncoder.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 35000000,
-          "sha256": "TODO",
+          "size_bytes": 1519880,
+          "sha256": "c3f2a96aaf5ecb5c5afc62b3d3dfbd47dc7ae64bc3edb7aa68befb54aef74459",
           "compute_units": "cpuAndGPU",
           "kind": "model"
         },
         {
           "name": "OpenVoice_VoiceConverter.mlpackage.zip",
-          "url": "TODO",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/openvoice/OpenVoice_VoiceConverter.mlpackage.zip",
           "archive": "zip",
-          "size_bytes": 100000000,
-          "sha256": "TODO",
+          "size_bytes": 59799630,
+          "sha256": "ef3ce8a2d1564aefa13830d7d0ca43f85e0aa62d5f59622c8bc456c307ab5e05",
           "compute_units": "cpuAndGPU",
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 500 },
-      "license": { "name": "MIT", "url": "https://github.com/myshell-ai/OpenVoice" },
-      "upstream": { "name": "myshell-ai/OpenVoice", "url": "https://github.com/myshell-ai/OpenVoice", "year": 2023 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 500
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/myshell-ai/OpenVoice"
+      },
+      "upstream": {
+        "name": "myshell-ai/OpenVoice",
+        "url": "https://github.com/myshell-ai/OpenVoice",
+        "year": 2023
+      }
     },
     {
       "id": "realesrgan",
@@ -781,7 +1103,10 @@
       "description_md": "Real-world blind super-resolution. 4× upscale from any input. Handles noise, blur, and JPEG artifacts. 512×512 input → 2048×2048 output.",
       "demo": {
         "template": "image_in_out",
-        "config": { "input_size": 512, "output_type": "image" }
+        "config": {
+          "input_size": 512,
+          "output_type": "image"
+        }
       },
       "files": [
         {
@@ -794,9 +1119,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 500 },
-      "license": { "name": "BSD-3-Clause", "url": "https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE" },
-      "upstream": { "name": "xinntao/Real-ESRGAN", "url": "https://github.com/xinntao/Real-ESRGAN", "year": 2021 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 500
+      },
+      "license": {
+        "name": "BSD-3-Clause",
+        "url": "https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE"
+      },
+      "upstream": {
+        "name": "xinntao/Real-ESRGAN",
+        "url": "https://github.com/xinntao/Real-ESRGAN",
+        "year": 2021
+      }
     },
     {
       "id": "gfpgan",
@@ -806,7 +1141,10 @@
       "description_md": "Blind face restoration with generative facial prior. Restores degraded face photos to high quality. 512×512 input/output.",
       "demo": {
         "template": "image_in_out",
-        "config": { "input_size": 512, "output_type": "image" }
+        "config": {
+          "input_size": 512,
+          "output_type": "image"
+        }
       },
       "files": [
         {
@@ -819,9 +1157,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 600 },
-      "license": { "name": "Apache-2.0", "url": "https://github.com/TencentARC/GFPGAN/blob/master/LICENSE" },
-      "upstream": { "name": "TencentARC/GFPGAN", "url": "https://github.com/TencentARC/GFPGAN", "year": 2021 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 600
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://github.com/TencentARC/GFPGAN/blob/master/LICENSE"
+      },
+      "upstream": {
+        "name": "TencentARC/GFPGAN",
+        "url": "https://github.com/TencentARC/GFPGAN",
+        "year": 2021
+      }
     },
     {
       "id": "rfdetr_n",
@@ -850,9 +1198,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 400 },
-      "license": { "name": "Apache-2.0", "url": "https://github.com/roboflow/rf-detr/blob/main/LICENSE" },
-      "upstream": { "name": "roboflow/rf-detr", "url": "https://github.com/roboflow/rf-detr", "year": 2025 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 400
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://github.com/roboflow/rf-detr/blob/main/LICENSE"
+      },
+      "upstream": {
+        "name": "roboflow/rf-detr",
+        "url": "https://github.com/roboflow/rf-detr",
+        "year": 2025
+      }
     },
     {
       "id": "face_parsing",
@@ -862,7 +1220,11 @@
       "description_md": "Semantic face parsing into 19 regions: skin, nose, eyes, eyebrows, ears, mouth, lip, hair, hat, eyeglass, earring, necklace, neck, cloth, background. 512×512 input.",
       "demo": {
         "template": "image_in_out",
-        "config": { "input_size": 512, "output_type": "segmap", "num_classes": 19 }
+        "config": {
+          "input_size": 512,
+          "output_type": "segmap",
+          "num_classes": 19
+        }
       },
       "files": [
         {
@@ -875,9 +1237,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 300 },
-      "license": { "name": "MIT", "url": "https://github.com/zllrunning/face-parsing.PyTorch/blob/master/LICENSE" },
-      "upstream": { "name": "zllrunning/face-parsing.PyTorch", "url": "https://github.com/zllrunning/face-parsing.PyTorch", "year": 2019 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 300
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/zllrunning/face-parsing.PyTorch/blob/master/LICENSE"
+      },
+      "upstream": {
+        "name": "zllrunning/face-parsing.PyTorch",
+        "url": "https://github.com/zllrunning/face-parsing.PyTorch",
+        "year": 2019
+      }
     },
     {
       "id": "mobilesam",
@@ -904,9 +1276,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 300 },
-      "license": { "name": "Apache-2.0", "url": "https://github.com/ChaoningZhang/MobileSAM/blob/master/LICENSE" },
-      "upstream": { "name": "ChaoningZhang/MobileSAM", "url": "https://github.com/ChaoningZhang/MobileSAM", "year": 2023 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 300
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://github.com/ChaoningZhang/MobileSAM/blob/master/LICENSE"
+      },
+      "upstream": {
+        "name": "ChaoningZhang/MobileSAM",
+        "url": "https://github.com/ChaoningZhang/MobileSAM",
+        "year": 2023
+      }
     },
     {
       "id": "lama",
@@ -916,7 +1298,9 @@
       "description_md": "Resolution-robust large mask inpainting. Draw over unwanted objects to remove them. Fast Fourier convolutions for global context. 800×800 input.",
       "demo": {
         "template": "inpainting",
-        "config": { "input_size": 800 }
+        "config": {
+          "input_size": 800
+        }
       },
       "files": [
         {
@@ -929,9 +1313,19 @@
           "kind": "model"
         }
       ],
-      "requirements": { "min_ios": "17.0", "min_ram_mb": 600 },
-      "license": { "name": "Apache-2.0", "url": "https://github.com/advimman/lama/blob/main/LICENSE" },
-      "upstream": { "name": "advimman/lama", "url": "https://github.com/advimman/lama", "year": 2022 }
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 600
+      },
+      "license": {
+        "name": "Apache-2.0",
+        "url": "https://github.com/advimman/lama/blob/main/LICENSE"
+      },
+      "upstream": {
+        "name": "advimman/lama",
+        "url": "https://github.com/advimman/lama",
+        "year": 2022
+      }
     }
   ]
 }