sakemin/musicgen-pansori 🔢📝🖼️✓❓ → 🖼️

▶️ 35 runs 📅 Dec 2023 ⚙️ Cog 0.8.6

About

MusicGen stereo fine-tuned on Pansori Epic Chant, a Korean folk music with the text token “Korean traditional folk music, pansori”

Example Output

Prompt:

"Korean traditional folk music, pansori"

Output

Performance Metrics

132.41s Prediction Time

246.60s Total Time

All Input Parameters

{
  "top_k": 250,
  "top_p": 0,
  "prompt": "Korean traditional folk music, pansori",
  "duration": 15,
  "temperature": 1,
  "continuation": false,
  "output_format": "wav",
  "continuation_start": 0,
  "multi_band_diffusion": false,
  "normalization_strategy": "loudness",
  "classifier_free_guidance": 3
}

Input Parameters

seed Type: integer: Seed for random number generator. If None or -1, a random seed will be used.
top_k Type: integerDefault: 250: Reduces sampling to the k most likely tokens.
top_p Type: numberDefault: 0: Reduces sampling to tokens with cumulative probability of p. When set to `0` (default), top_k sampling is used.
prompt Type: string: A description of the music you want to generate.
duration Type: integerDefault: 8: Duration of the generated audio in seconds.
input_audio Type: string: An audio file that will influence the generated music. If `continuation` is `True`, the generated music will be a continuation of the audio file. Otherwise, the generated music will mimic the audio file's melody.
temperature Type: numberDefault: 1: Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity.
continuation Type: booleanDefault: false: If `True`, generated music will continue `melody`. Otherwise, generated music will mimic `audio_input`'s melody.
output_format Default: wav: Output format for generated audio.
continuation_end Type: integerRange: 0 - ∞: End time of the audio file to use for continuation. If -1 or None, will default to the end of the audio clip.
replicate_weights Type: string: Replicate MusicGen weights to use. Leave blank to use the default weights.
continuation_start Type: integerDefault: 0Range: 0 - ∞: Start time of the audio file to use for continuation.
multi_band_diffusion Type: booleanDefault: false: If `True`, the EnCodec tokens will be decoded with MultiBand Diffusion. Only works with non-stereo models.
normalization_strategy Default: loudness: Strategy for normalizing audio.
classifier_free_guidance Type: integerDefault: 3: Increases the influence of inputs on the output. Higher values produce lower-varience outputs that adhere more closely to inputs.

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

Downloading: "https://replicate.delivery/pbxt/CSeH3hezVkgghUfn1egzOwZPvZtsn2PMfXaMT1ISlOybRJCQC/trained_model.tar" to /src/models/hub/checkpoints/trained_model.tar
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/root/.pyenv/versions/3.9.18/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
Fine-tuned model weights hot-swapped!
Using seed 387595530
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CLIPPING out happening with proba (a bit of clipping is okay): 0.00027083331951871514 maximum scale:  1.322563648223877

Version Details

Version ID: f717d1fb4a7820823df6240a8e5c7b88312759d3eeb6788e48a178dfd1abee96
Version Created: December 8, 2023

Run on Replicate →