model.json

{
  "name": "audio-inpainting-diffusion",
  "package_dir": ".",
  "entry_point": "testing.edm_sampler_inpainting.Sampler",
  "checkpoints": [
    {
      "label": "MAESTRO (solo piano)",
      "repo": "Eloimoliner/audio-inpainting-diffusion",
      "filename": "maestro_22k_8s-750000.pt",
      "size_mb": 2984,
      "exp_config": "conf/exp/maestro22k_8s.yaml",
      "network_config": "conf/network/paper_1912_unet_cqt_oct_attention_adaLN_2.yaml",
      "sample_rate": 22050,
      "audio_len_samples": 184184
    },
    {
      "label": "MusicNet (mixed classical instrumentation)",
      "repo": "Eloimoliner/audio-inpainting-diffusion",
      "filename": "musicnet_44k_4s-560000.pt",
      "size_mb": 3884,
      "exp_config": "conf/exp/musicnet44k_4s.yaml",
      "network_config": "conf/network/paper_1912_unet_cqt_oct_attention_44k_2.yaml",
      "sample_rate": 44100,
      "audio_len_samples": 184184
    }
  ],
  "notes": "Both checkpoints share the same tester/diff_params hyperparameters (conf/tester/inpainting_tester.yaml, conf/diff_params/edm.yaml) -- this is exactly the hydra.compose() config composition used in the repo's own notebooks/demo_inpainting_spectrogram.ipynb, which swaps only exp= and network= per checkpoint. Skipped the third HF checkpoint (22k_8s-850000.pt, the no-attention MAESTRO ablation variant) per user choice."
}