vidalfer/game-music-generator 🔢📝🖼️✓❓ → 🖼️

▶️ 212 runs 📅 Dec 2023 ⚙️ Cog 0.8.6

About

Gerador de música para games condicionado a emoção feito para a disciplina de Residência em IA do Bacharelado em Inteligência Artificial-UFG

Example Output

Prompt:

"sad,emotional,melancholy, 8bit game music"

Output

Performance Metrics

37.99s Prediction Time

165.32s Total Time

All Input Parameters

{
  "top_k": 250,
  "top_p": 0,
  "prompt": "sad,emotional,melancholy, 8bit game music",
  "duration": 8,
  "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/ar90hcZjT15lIxKIOkpwtuQlj6LzS0Ussl0MmWgDAkOUJyiE/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 2575322603
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Version Details

Version ID: c0e63da28875e3d1bc6128bd07b45a70f72b94b90fae3ba6d7c5623b0ffb58fd
Version Created: January 10, 2024

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