andreasjansson/musicgen-trance 🔢📝🖼️✓❓ → 🖼️
About
MusicGen fine-tuned on late-90s trance
Example Output
Prompt:
"trance, melodic, uplifting"
Output
Performance Metrics
47.90s
Prediction Time
48.47s
Total Time
All Input Parameters
{
"top_k": 250,
"top_p": 0,
"prompt": "trance, melodic, uplifting",
"duration": 20,
"temperature": 1,
"continuation": false,
"output_format": "wav",
"continuation_start": 0,
"multi_band_diffusion": false,
"normalization_strategy": "loudness",
"classifier_free_guidance": 3
}
Input Parameters
- seed
- Seed for random number generator. If None or -1, a random seed will be used.
- top_k
- Reduces sampling to the k most likely tokens.
- top_p
- Reduces sampling to tokens with cumulative probability of p. When set to `0` (default), top_k sampling is used.
- prompt
- A description of the music you want to generate.
- duration
- Duration of the generated audio in seconds.
- input_audio
- 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
- Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity.
- continuation
- If `True`, generated music will continue `melody`. Otherwise, generated music will mimic `audio_input`'s melody.
- output_format
- Output format for generated audio.
- continuation_end
- 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
- Replicate MusicGen weights to use. Leave blank to use the default weights.
- continuation_start
- Start time of the audio file to use for continuation.
- multi_band_diffusion
- If `True`, the EnCodec tokens will be decoded with MultiBand Diffusion. Only works with non-stereo models.
- normalization_strategy
- Strategy for normalizing audio.
- classifier_free_guidance
- Increases the influence of inputs on the output. Higher values produce lower-varience outputs that adhere more closely to inputs.
Output Schema
Output
Example Execution Logs
Using seed 2016817977 1 / 1000 2 / 1000 3 / 1000 4 / 1000 5 / 1000 6 / 1000 7 / 1000 8 / 1000 9 / 1000 10 / 1000 11 / 1000 12 / 1000 13 / 1000 14 / 1000 15 / 1000 16 / 1000 17 / 1000 18 / 1000 19 / 1000 20 / 1000 21 / 1000 22 / 1000 23 / 1000 24 / 1000 25 / 1000 26 / 1000 27 / 1000 28 / 1000 29 / 1000 30 / 1000 31 / 1000 32 / 1000 33 / 1000 34 / 1000 35 / 1000 36 / 1000 37 / 1000 38 / 1000 39 / 1000 40 / 1000 41 / 1000 42 / 1000 43 / 1000 44 / 1000 45 / 1000 46 / 1000 47 / 1000 48 / 1000 49 / 1000 50 / 1000 51 / 1000 52 / 1000 53 / 1000 54 / 1000 55 / 1000 56 / 1000 57 / 1000 58 / 1000 59 / 1000 60 / 1000 61 / 1000 62 / 1000 63 / 1000 64 / 1000 65 / 1000 66 / 1000 67 / 1000 68 / 1000 69 / 1000 70 / 1000 71 / 1000 72 / 1000 73 / 1000 74 / 1000 75 / 1000 76 / 1000 77 / 1000 78 / 1000 79 / 1000 80 / 1000 81 / 1000 82 / 1000 83 / 1000 84 / 1000 85 / 1000 86 / 1000 87 / 1000 88 / 1000 89 / 1000 90 / 1000 91 / 1000 92 / 1000 93 / 1000 94 / 1000 95 / 1000 96 / 1000 97 / 1000 98 / 1000 99 / 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Version Details
- Version ID
e10ac31e3db006c14e568fdc70a84fdd0debb9aead138cc272801edabf011f74- Version Created
- November 3, 2023