{
  "model_type": "liif",
  "architecture": {
    "type": "LIIFNet (simplified Local Implicit Image Function)",
    "num_feat": 64,
    "num_res": 16,
    "decoder_hidden": 64,
    "local_size": 3
  },
  "scales": {
    "arbitrary": true,
    "trained_range": [
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      6.0
    ],
    "tested_max": 9.2
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  "parameters": 4603897,
  "input": {
    "format": "RGB float32 tensor, shape (B, 3, H, W), values in [0, 1]"
  },
  "output": {
    "format": "RGB float32 tensor, shape (B, 3, target_h, target_w), values in [0, 1]"
  },
  "inference": {
    "signature": "model(lr, target_h, target_w)",
    "tile_size": 256,
    "overlap": 16,
    "tiling": "overlapping tiles + feather blending, compiled inside model_scripted.pt",
    "max_scale": 9.2,
    "max_scale_note": "largest scale factor verified end-to-end for these weights; beyond it the model still runs but is extrapolating outside its training range"
  },
  "training": {
    "stage": "2",
    "iterations": 4000,
    "batch_size": 2,
    "patch_size": 192,
    "seed": 42,
    "optimizer": "adam",
    "lr": 4e-05,
    "min_lr": 2e-05,
    "scheduler": "cosine",
    "grad_clip": 1.0,
    "amp": false,
    "losses": [
      "L1",
      "edge (Sobel gradient)",
      "PatchGAN adversarial"
    ],
    "loss_weights": {
      "l1": 1.0,
      "edge": 0.1,
      "gan": 0.05
    },
    "num_buckets": 16,
    "init_from": "checkpoints/liif_v4/best_liif.pth",
    "dataset": "DIV2K train + Flickr2K (3450 HR images)",
    "degradation": "Real-ESRGAN-style (blur, noise, downscale, JPEG)",
    "checkpoint_step": 3500
  },
  "artifacts": {
    "torchscript": "model_scripted.pt",
    "weights": "model.safetensors",
    "note": "model_scripted.pt is self-contained: no source code is needed to run the model."
  },
  "export": {
    "torch_version": "2.14.1+cu130",
    "exported_at": "2026-10-23T20:41:45+00:00",
    "method": "torch.jit.script + torch.jit.freeze",
    "verification": {
      "checks": [
        {
          "input": [
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            106
          ],
          "target": [
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            212
          ],
          "output_shape": [
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            3,
            212,
            320
          ],
          "max_abs_diff": 1.1920928955078125e-07
        },
        {
          "input": [
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            106
          ],
          "target": [
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            335
          ],
          "output_shape": [
            1,
            3,
            335,
            509
          ],
          "max_abs_diff": 1.1920928955078125e-07
        }
      ],
      "max_abs_diff": 1.1920928955078125e-07,
      "forward_single_shape": [
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        3,
        212,
        320
      ],
      "forward_single_ok": true,
      "passed": true,
      "cuda_shape_check": [
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        3,
        212,
        320
      ],
      "cuda_finite": true
    },
    "examples": {
      "source_image": "0801.png",
      "files": {
        "input.png": [
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        ],
        "output_4x.png": [
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        ],
        "output_9.2x.jpg": [
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        ],
        "compare.jpg": [
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      }
    },
    "demo": {
      "source_image": "a.png",
      "scale": 4.0,
      "output_name": "demo_output_4x.jpg",
      "files": {
        "demo_input.png": [
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        ],
        "demo_output_4x.jpg": [
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        ],
        "demo_compare.jpg": [
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        ]
      }
    }
  }
}