Wrapped RubyAI

Input

song_input

Click to select a file to input

Upload your audio file here.

rvc_model

RVC model for a specific voice. If using a custom model, this should match the name of the downloaded model. If a 'custom_rvc_model_download_url' is provided, this will be automatically set to the name of the downloaded model.

custom_rvc_model_download_url

URL to download a custom RVC model. If provided, the model will be downloaded (if it doesn't already exist) and used for prediction, regardless of the 'rvc_model' value.

pitch_change

Adjust pitch of AI vocals. Options: `no-change`, `male-to-female`, `female-to-male`.

index_rate

Control how much of the AI's accent to leave in the vocals.

filter_radius

If >=3: apply median filtering median filtering to the harvested pitch results.

rms_mix_rate

Control how much to use the original vocal's loudness (0) or a fixed loudness (1).

pitch_detection_algorithm

Best option is rmvpe (clarity in vocals), then mangio-crepe (smoother vocals).

crepe_hop_length

When `pitch_detection_algo` is set to `mangio-crepe`, this controls how often it checks for pitch changes in milliseconds. Lower values lead to longer conversions and higher risk of voice cracks, but better pitch accuracy.

protect

Control volume of main AI vocals. Use -3 to decrease the volume by 3 decibels, or 3 to increase the volume by 3 decibels.

main_vocals_volume_change

Control volume of main AI vocals. Use -3 to decrease the volume by 3 decibels, or 3 to increase the volume by 3 decibels.

backup_vocals_volume_change

Control volume of backup AI vocals.

instrumental_volume_change

Control volume of the background music/instrumentals.

pitch_change_all

Change pitch/key of background music, backup vocals and AI vocals in semitones. Reduces sound quality slightly.

reverb_size

The larger the room, the longer the reverb time.

reverb_wetness

Level of AI vocals with reverb.

reverb_dryness

Level of AI vocals without reverb.

reverb_damping

Absorption of high frequencies in the reverb.

Hold at least 50,000 wRAI to use this model

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Output

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