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tailot
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universal-upscale

Image-to-Image
PyTorch
Safetensors
liif
image-super-resolution
super-resolution
image-upscaling
arbitrary-scale-sr
esrgan
torchscript
Model card Files
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 Community
universal-upscale
File size: 3,233 Bytes
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{
  "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": [
      1.5,
      10.0
    ]
  },
  "parameters": 1261955,
  "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"
  },
  "training": {
    "epochs": 100,
    "batch_size": 8,
    "patch_size": 128,
    "seed": 42,
    "amp": true,
    "losses": [
      "L1",
      "VGG perceptual",
      "PatchGAN"
    ],
    "dataset": "DIV2K train + Flickr2K (3450 HR images)",
    "degradation": "Real-ESRGAN-style (blur, noise, downscale, JPEG)",
    "checkpoint_epoch": 100
  },
  "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": "2026-10-21T18:20:06+00:00",
    "method": "torch.jit.script + torch.jit.freeze",
    "verification": {
      "checks": [
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          "input": [
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          ],
          "target": [
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          "output_shape": [
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          "max_abs_diff": 8.344650268554688e-07
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        {
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          "target": [
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          "output_shape": [
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          "max_abs_diff": 7.748603820800781e-07
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      ],
      "max_abs_diff": 8.344650268554688e-07,
      "forward_single_shape": [
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      "forward_single_ok": true,
      "passed": true,
      "cuda_shape_check": [
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      ],
      "cuda_finite": true
    },
    "examples": {
      "source_image": "0801.png",
      "files": {
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        "output_4x.png": [
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        ],
        "output_10x.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": {
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        "demo_compare.jpg": [
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    }
  }
}