aaronbesson/m3maker 🔢📝🖼️✓❓ → 🖼️
About
Music Generator
Example Output
Performance Metrics
21.56s
Prediction Time
21.57s
Total Time
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.
- 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
Version Details
- Version ID
12308b850398be4df01fd0e23ed1d1b20f5e51785f90c0ed1c05c31bdd923f8c- Version Created
- October 22, 2023